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Articoli di riviste sul tema "MU-MIMO communications"

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Autore: Grafiati

Pubblicato: 1 giugno 2024

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1

Shen, Ye-Shun, Fang-Biau Ueng e Chin-Yang Kung. "Novel Detectors for Massive MU-MIMO Communications". IETE Journal of Research 66, n. 6 (21 maggio 2019): 823–40. http://dx.doi.org/10.1080/03772063.2019.1615390.

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2

Hemrungrote, Sirichai, Toshikazu Hori, Mitoshi Fujimoto e Kentaro Nishimori. "Channel Capacity Evaluation for Urban MIMO Systems Using Path Visibility". ECTI Transactions on Electrical Engineering, Electronics, and Communications 9, n. 1 (9 luglio 2010): 121–32. http://dx.doi.org/10.37936/ecti-eec.201191.172335.

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Multiple-Input Multiple-Output (MIMO) and Multi-User MIMO (MU-MIMO) systems are expected to improve the channel capacity over the limited bandwidth of existing wireless communication networks. The effects on the channel capacity characteristics of Single-User MIMO (SU-MIMO) systems in urban scenarios have been previously studied. In this paper, we first clarify that the larger number of antennas cannot contribute the improvement in the channel capacity in urban SU-MIMO scenarios due to the very high spatial correlation. Next, we focus on the MU-MIMO transmission because it can discriminate multiple users by the difference of Angle of Arrival (AOA). We compare the Multi Access Channel (MAC) capacity in the uplink to the capacity in SU-MIMO by considering the same total numbers of transmitting and receiving antennas between SU-MIMO and MU-MIMO. When the same numbers of the antenna elements are used, the better performance is obtained by urban MU-MIMO systems, unlike in the identical independent distributed (iid) scenarios which are generally assumed in MIMO transmission. Finally, the parameter called path visibility introduced in our previous study is playing an important role once again. It is de¯ned as the probability that the direct wave can be received at the receiving antenna and has been used to determine the channel capacity characteristics and provide guidance in determining the appropriate range for the base station (BS) installation in urban SU-MIMO scenarios. In this study, we clarify that only this single parameter, path visibility, can also be used to determine the improvement in the channel capacity by MU-MIMO in urban scenarios, while both of SNR and spatial correlation must be considered as the indicative parameters on the performance of SU/MU-MIMO in conventional studies.

3

Castillo-Soria, Francisco R., J. Alberto Del Puerto-Flores, Cesar A. Azurdia-Meza, Vinoth Babu Kumaravelu, Jorge Simón e Carlos A. Gutierrez. "Precoding for RIS-Assisted Multi-User MIMO-DQSM Transmission Systems". Future Internet 15, n. 9 (2 settembre 2023): 299. http://dx.doi.org/10.3390/fi15090299.

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This paper presents two precoding techniques for a reconfigurable intelligent surface (RIS)-assisted multi-user (MU) multiple-input multiple-output (MIMO) double quadrature spatial modulation (DQSM) downlink transmission system. Instead of being applied at the remote RIS, the phase shift vector is applied at the base station (BS) by using a double precoding stage. Results show that the proposed RIS-MU-MIMO-DQSM system has gains of up to 17 dB in terms of bit error rate (BER) and a reduction in detection complexity of 51% when compared with the conventional MU-MIMO system based on quadrature amplitude modulation (QAM). Compared with a similar system based on amplify and forward (AF) relay-assisted technique, the proposed system has a gain of up to 18 dB in terms of BER under the same conditions and parameters.

4

FANG, Shu, Li-hua LI e Ping ZHANG. "Grassmannian precoding MU-MIMO scheme". Journal of China Universities of Posts and Telecommunications 15, n. 3 (settembre 2008): 105–17. http://dx.doi.org/10.1016/s1005-8885(08)60116-8.

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5

Liu, Fan, Christos Masouros, Ang Li, Huafei Sun e Lajos Hanzo. "MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission". IEEE Transactions on Wireless Communications 17, n. 4 (aprile 2018): 2755–70. http://dx.doi.org/10.1109/twc.2018.2803045.

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6

Ibrahim, Sarmad Khaleel, e Saif A. Abdulhussien. "Performance evaluation of precoding system for massive multiple-input multiple-output". Bulletin of Electrical Engineering and Informatics 11, n. 4 (1 agosto 2022): 2054–61. http://dx.doi.org/10.11591/eei.v11i4.3877.

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Low latency, high data speeds, and a higher degree of perceived service quality for consumers and base station capacity are only some of the advantages of fifth generation (5G) mobile communications. This paper focuses on the design of a precoding system for downlink transmission of multi-user multiple-input multiple-output (MU-MIMO). For MU-MIMO systems, the traditional precoding techniques investigated are difficult since the transmitter precoding matrices created by singular value decomposition (SVD) are calculated twice. This paper implements different techniques of precoding with channel coding. Two advanced precoding, zero forcing (ZF) and maximum ratio transmitter (MRT) systems will be evaluated to find the best between them. Three different coding channels (turbo, low-density parity-check (LDPC), and polar) are used in this paper. The results indicate that the ZF-MU-MIMO with turbo coding outperforms MRT precoding, and more spatial diversity gain may be gained, in terms of throughput, number of users supported, and lower error rate in downlink and uplink massive MIMO.

7

NISHIMORI, Kentaro, Riichi KUDO, Naoki HONMA, Yasushi TAKATORI e Masato MIZOGUCHI. "16 × 16 MIMO Testbed for MU-MIMO Downlink Transmission". IEICE Transactions on Communications E93-B, n. 2 (2010): 345–52. http://dx.doi.org/10.1587/transcom.e93.b.345.

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8

Kim, Jinwoo, e Chung G. Kang. "Diversity-Multiplexing-Nulling Trade-Off Analysis of Multiuser MIMO System for Intercell Interference Coordination". Wireless Communications and Mobile Computing 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/5709367.

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A fundamental performance trade-off of multicell multiuser multiple-input multiple-output (MU-MIMO) systems is explored for achieving intercell and intracell interference-free conditions. In particular, we analyze the three-dimensional diversity-multiplexing-nulling trade-off (DMNT) among the diversity order (i.e., the slope of the error performance curve), multiplexing order (i.e., the number of users that are simultaneously served by MU-MIMO), and nulling order (i.e., the number of users with zero interference in a victim cell). This trade-off quantifies the performance of MU-MIMO in terms of its diversity and multiplexing order, while nulling the intercell interference toward the victim cell in the neighbor. First, we design a precoding matrix to mitigate both intercell and intracell interference for a linear precoding-based MU-MIMO system. Then, the trade-off relationship is obtained by analyzing the distribution of the signal-to-noise ratio (SNR) at the user terminals. Furthermore, we demonstrate how DMNT can be applied to estimate the long-term throughput for each mobile station, which allows for determining the optimal number of multiplexing order and throughput loss due to the interference nulling.

9

Shinkevich, Artem, Dmitry A. Pokamestov, Yakov V. Kryukov, Evgeny V. Rogozhnikov, Georgy N. Shalin e Andrey A. Brovkin. "Evaluation of noise immunity of multi-user MIMO systems with imperfect channel estimation and other distortions". Radioelectronics. Nanosystems. Information Technologies. 15, n. 4 (6 dicembre 2023): 441–52. http://dx.doi.org/10.17725/rensit.2023.15.441.

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The technology of multi-antenna MIMO (Multiple Input Multiple Output) systems is actively used in modern wireless communication systems. MIMO can enhance the performance of wireless data transmission systems, but their effectiveness depends on the transmission conditions. Ideal conditions are represented as a channel with a large number of possible signal propagation paths and an error-free estimation of its parameters. The estimation error significantly affects the performance of the beamforming algorithms used to mitigate inter-user interference in multi-user MIMO (MU-MIMO) systems. Spatial correlation of the channel results in a decrease in the number of independent information transmission streams. These factors can significantly reduce the performance of multi- antenna systems. For this reason, operating MIMO communication systems under non-ideal conditions is a topical issue. The paper examines the performance of various beamforming algorithms in such conditions. It describes the communication systems with MIMO, beamforming algorithms, and distorting effects. The paper includes a developed simulation model of the communication channel with MU-MIMO accounting for a variety of distorting factors. The results demonstrate the bit-error probability dependences for different simulation scenarios.

10

Khomyat, Tanapong, Peerapong Uthansakul e Monthippa Uthansakul. "Performance Analysis of MU-MIMO Systems Using HMRS Technique for Various Transmission Modes". ECTI Transactions on Electrical Engineering, Electronics, and Communications 12, n. 1 (25 febbraio 2014): 53–62. http://dx.doi.org/10.37936/ecti-eec.2014121.170804.

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It is the fact that the bandwidth of wireless communication system is such a limited resource that several techniques are selectively applied to increase the bandwidth efficiency. The highest bandwidth efficiency can be taken by applying Multi-User Multiple-Input Multiple-Output (MU-MIMO) technique. For this technique, the complexity of detection is rapidly increased by increasing the number of users. Thus the lower complex detection is necessarily required for MU-MIMO system. Recently, the simple detection technique called hybrid-MIMO receiver scheme (HMRS) has been proposed by the authors. However, that study neglected the demands of multiple users for transmitting MIMO modes which are crucially unpredictable in practice. In this paper, the performance analysis of MU-MIMO system using HMRS technique to support various types of user transmission modes is presented. Moreover, the nearly exact symbol error rate (SER) analysis of HMRS with the nonlinear error propagation effect over Rayleigh channels is originally presented. The recursive procedure is adopted to derive the nearly closed-form expressions of the error probability of each user. The results indicate that HMRS technique can improve the error rate more than the existing hybrid-MIMO about 8 dB at 10e−4 SER, increasing the total number of user and number of SM user introduce the diversity gain loss. The simulation results illustrate the performance accuracy of the proposed analysis.

11

Minggan Ye, Minggan Ye, Wei Hu Minggan Ye, Yifeng Zhao Wei Hu, Lianfen Huang Yifeng Zhao e Zhiyuan Shi Lianfen Huang. "Beamforming Design for OFDM Joint Sensing and Communication System". 網際網路技術學刊 23, n. 7 (dicembre 2022): 1449–59. http://dx.doi.org/10.53106/160792642022122307001.

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<p>In this paper, we discussed the beamforming schemes for OFDM-based joint sensing and communication (OFDM-JSC) system, which enable JSC system to use directional beams to detect directions of interest, while communicating with one or more downlink users, thus further enhancing the practicability of JSC system. Specifically, we equip OFDM-JSC transmitter with hybrid beamforming structure and digital beamforming structure in SU-MIMO and MU-MISO scenarios, respectively. For SU-MIMO JSC, we separately considered the hybrid beamforming design with partially connected structure and fully connected structure. For MU-MISO JSC, we separately consider the beamforming design with total antenna array transmit power constraint, and per antenna transmit power constraint. For the four non-convex problems in above two scenarios, we have designed corresponding low-complexity JSC beamforming algorithms and we verified the effectiveness of proposed schemes through numerical simulation.</p> <p> </p>

12

Kapoor, Rajesh, Aasheesh Shukla e Vishal Goyal. "Performance evaluation of unmanned aerial vehicle communication by increasing antennas of cellular base stations". Indonesian Journal of Electrical Engineering and Computer Science 27, n. 1 (1 luglio 2022): 222. http://dx.doi.org/10.11591/ijeecs.v27.i1.pp222-237.

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The utilization of unmanned aerial vehicles (UAVs) increases with increased performance of their communication link with the ground remote station. Integrating UAVs with existing cellular networks provides the possibility of enhanced performance of communication links. The base stations of existing cellular networks are installed with fixed number of antennas. The performance of UAV communication links can be further enhanced by increasing antennas of cellular base stations of existing networks using multiple antenna techniques such as multi ple input multiple output (MIMO). In this proposed scheme, Massive MIMO technology is used for UAV communications, wherein hundreds of antennas are mounted on cellular base stations. This set up provides significant advantage in terms of enhancement in per formance of UAV communication links, as compared to existing methods of UAV communication. In this paper, performance evaluation of UAV communication links is carried out by increasing the number of antennas at base stations of existing cellular networks. For this evaluation, firstly basic multiple antennas techniques such as point - to - point MIMO and multi - user MIMO (MU - MIMO) are covered based on existing studies and findings. Subsequently, an antenna dependent closed form expression for uplink channel capac ity of massive MIMO based UAV communication links is derived, with few numerical results.

13

Yan, Yubo, Panlong Yang, Jie Xiong e Xiang-Yang Li. "OpenCarrier: Breaking the User Limit for Uplink MU-MIMO Transmissions With Coordinated APs". ACM Transactions on Sensor Networks 18, n. 2 (31 maggio 2022): 1–21. http://dx.doi.org/10.1145/3488382.

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The global IoT market is experiencing a fast growth with a massive number of IoT/wearable devices deployed around us and even on our bodies. This trend incorporates more users to upload data frequently and timely to the APs. Previous work mainly focus on improving the up-link throughput. However, incorporating more users to transmit concurrently is actually more important than improving the throughout for each individual user, as the IoT devices may not require very high transmission rates but the number of devices is usually large. In the current state-of-the-arts (up-link MU-MIMO), the number of transmissions is either confined to no more than the number of antennas (node-degree-of-freedom, node-DoF) at an AP or clock synchronized with cables between APs to support more concurrent transmissions. However, synchronized APs still incur a very high collaboration overhead, prohibiting its real-life adoption. We thus propose novel schemes to remove the cable-synchronization constraint while still being able to support more concurrent users than the node-DoF limit, and at the same time minimize the collaboration overhead. In this paper, we design, implement, and experimentally evaluate OpenCarrier, the first distributed system to break the user limitation for up-link MU-MIMO networks with coordinated APs. Our experiments demonstrate that OpenCarrier is able to support up to five up-link high-throughput transmissions for MU-MIMO network with 2-antenna APs.

14

KIM, Young-Joon, Jung-Seung LEE e Doo-Kwon BAIK. "MU-MIMO Pairing Algorithm Using Received Power". IEICE Transactions on Communications E92-B, n. 12 (2009): 3947–49. http://dx.doi.org/10.1587/transcom.e92.b.3947.

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15

Rao, Dasari Srinivasa, e Victor Dhason Berlin Hency. "QoS-based Joint User Selection and Scheduling for MU-MIMO WLANs". Journal of Telecommunications and Information Technology 4 (20 dicembre 2017): 17–24. http://dx.doi.org/10.26636/jtit.2017.112217.

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The shift in Multi-User Multiple Input Multiple Output (MU-MIMO) has gained attention due to its wide support in very high throughput Wireless Local Area Networks (WLANs) such as the 802.11ac. However, the full advantage of MU-MIMO can be utilized only with proper user selection and scheduling. Also, providing Quality of Service (QoS) support is a major challenge for these wireless networks. Generally, user scheduling is done with the acquisition of Channel State Information (CSI) from all the users. In MU-MIMO based WLANs, the number of CSI request increases with the number of users. This results in an increased CSI overhead and in degradation of the overall throughput. Most of the proposals in the literature have not addressed the contention in the CSI feedback clearly. Hence, in this paper a Joint User Selection and Scheduling (JUSS) scheme is discussed and its performance is evaluated in terms of throughput, delay, packet loss and fairness. In the performance comparison some wellknown Medium Access Control (MAC) protocols are considered. The proposed scheme not only enhances throughput, but also avoids contention during CSI feedback period.

16

Aggarwal, Shivang, Srisai Karthik Neelamraju, Ajit Bhat e Dimitrios Koutsonikolas. "A Detailed Look at MIMO Performance in 60 GHz WLANs". ACM SIGMETRICS Performance Evaluation Review 50, n. 1 (20 giugno 2022): 25–26. http://dx.doi.org/10.1145/3547353.3530971.

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One of the key enhancements in the upcoming 802.11ay standard for 60 GHz WLANs is the support for simultaneous transmissions of up to 8 data streams via SU- and MU-MIMO, which has the potential to enable data rates up to 100 Gbps. However, in spite of the key role MIMO is expected to play in 802.11ay, experimental evaluation of MIMO performance in 60 GHz WLANs has been limited to date, primarily due to lack of hardware supporting MIMO transmissions at millimeter wave frequencies. In this work, we fill this gap by conducting the first large-scale experimental evaluation of SU- and MU-MIMO performance in 60 GHz WLANs. Unlike previous studies, our study involves multiple environments with very different multipath characteristics. We analyze the performance in each environment, identify the factors that affect it, and compare it against the performance of SISO. Further, we seek to identify factors that can guide beam and user selection to limit the (often prohibitive in practice) overhead of exhaustive search. Finally, we propose two heuristics that perform both user and beam selection with low overhead, and show that they perform close to an Oracle solution and outperform previously proposed approaches in both static and mobile scenarios, regardless of the environment and number of users.

17

Daldoul, Yousri, Djamal-Eddine Meddour e Adlen Ksentini. "Performance evaluation of OFDMA and MU-MIMO in 802.11ax networks". Computer Networks 182 (dicembre 2020): 107477. http://dx.doi.org/10.1016/j.comnet.2020.107477.

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18

Kim, Daeun, Song-Nam Hong e Namyoon Lee. "Supervised-Learning for Multi-Hop MU-MIMO Communications With One-Bit Transceivers". IEEE Journal on Selected Areas in Communications 37, n. 11 (novembre 2019): 2559–72. http://dx.doi.org/10.1109/jsac.2019.2933965.

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19

Zhang, Wenjian, e Senlin Jiang. "Effect of Node Mobility on MU-MIMO Transmissions in Mobile Ad Hoc Networks". Wireless Communications and Mobile Computing 2021 (3 maggio 2021): 1–9. http://dx.doi.org/10.1155/2021/9954940.

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In this paper, we investigate the expected outage probability and expected throughput of a multi-user multiple-input multiple-output (MU-MIMO) transmission in mobile ad hoc networks (MANET) in the presence of co-channel interference and unpredictable inter-beam interference. In order to achieve multi-user diversity gain, the receiving nodes are required to report measured channel information to the transmitting node. During the time gap between channel measurement and data transmission, the channel may change with the location of moving nodes. The unpredictable behavior may cause a mismatch between the weight of beams and the instantaneous channel and the inter-beam interference in the data transmission phase. In order to obtain the closed form expected outage probability, we categorize the behavior of nodes according to whether the inter-beam interference exists or not and the number of received interference beams. The probability of each category and the closed form outage probability of an instantaneous MU-MIMO transmission of each category are derived. Additionally, the expected throughput of an MU-MIMO transmission which changes with the number of receiving nodes is obtained, and the optimal value of receiving nodes to maximize the expected throughput is discussed. Numeric results show the unpredictable inter-beam interference degrades the outage probability performance. Reducing the duration of the time gap could improve the expected outage probability and expected throughput.

20

Aggarwal, Shivang, Srisai Karthik Neelamraju, Ajit Bhat e Dimitrios Koutsonikolas. "A Detailed Look at MIMO Performance in 60 GHz WLANs". Proceedings of the ACM on Measurement and Analysis of Computing Systems 6, n. 2 (26 maggio 2022): 1–26. http://dx.doi.org/10.1145/3530904.

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One of the key enhancements in the upcoming 802.11ay standard for 60 GHz WLANs is the support for simultaneous transmissions of up to 8 data streams via SU- and MU-MIMO, which has the potential to enable data rates up to 100 Gbps. However, in spite of the key role MIMO is expected to play in 802.11ay, experimental evaluation of MIMO performance in 60 GHz WLANs has been limited to date, primarily due to lack of hardware supporting MIMO transmissions at millimeter wave frequencies. In this work, we fill this gap by conducting the first large-scale experimental evaluation of SU- and MU-MIMO performance in 60 GHz WLANs. Unlike previous studies, our study involves multiple environments with very different multipath characteristics. We analyze the performance in each environment, identify the factors that affect it, and compare it against the performance of SISO. Further, we seek to identify factors that can guide beam and user selection to limit the (often prohibitive in practice) overhead of exhaustive search. Finally, we propose two heuristics that perform both user and beam selection with low overhead, and show that they perform close to an Oracle solution and outperform previously proposed approaches in both static and mobile scenarios, regardless of the environment and number of users.

21

Aggarwal, Shivang, Srisai Karthik Neelamraju, Ajit Bhat e Dimitrios Koutsonikolas. "A Detailed Look at MIMO Performance in 60 GHz WLANs". Proceedings of the ACM on Measurement and Analysis of Computing Systems 6, n. 2 (26 maggio 2022): 1–26. http://dx.doi.org/10.1145/3530904.

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Abstract (sommario):

One of the key enhancements in the upcoming 802.11ay standard for 60 GHz WLANs is the support for simultaneous transmissions of up to 8 data streams via SU- and MU-MIMO, which has the potential to enable data rates up to 100 Gbps. However, in spite of the key role MIMO is expected to play in 802.11ay, experimental evaluation of MIMO performance in 60 GHz WLANs has been limited to date, primarily due to lack of hardware supporting MIMO transmissions at millimeter wave frequencies. In this work, we fill this gap by conducting the first large-scale experimental evaluation of SU- and MU-MIMO performance in 60 GHz WLANs. Unlike previous studies, our study involves multiple environments with very different multipath characteristics. We analyze the performance in each environment, identify the factors that affect it, and compare it against the performance of SISO. Further, we seek to identify factors that can guide beam and user selection to limit the (often prohibitive in practice) overhead of exhaustive search. Finally, we propose two heuristics that perform both user and beam selection with low overhead, and show that they perform close to an Oracle solution and outperform previously proposed approaches in both static and mobile scenarios, regardless of the environment and number of users.

22

Jeya, R., e B. Amutha. "Optimized semiblind sparse channel estimation algorithm for MU-MIMO OFDM system". Computer Communications 146 (ottobre 2019): 103–9. http://dx.doi.org/10.1016/j.comcom.2019.07.018.

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23

Dursun, Yunus, Muhammed Burak Goktas e Zhiguo Ding. "Green NOMA based MU-MIMO transmission for MEC in 6G Networks". Computer Networks 228 (giugno 2023): 109749. http://dx.doi.org/10.1016/j.comnet.2023.109749.

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24

Kelechi, Alsharif, Ramly, Abdullah e Nordin. "The Four-C Framework for High Capacity Ultra-Low Latency in 5G Networks: A Review". Energies 12, n. 18 (6 settembre 2019): 3449. http://dx.doi.org/10.3390/en12183449.

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Abstract (sommario):

Network latency will be a critical performance metric for the Fifth Generation (5G) networks expected to be fully rolled out in 2020 through the IMT-2020 project. The multi-user multiple-input multiple-output (MU-MIMO) technology is a key enabler for the 5G massive connectivity criterion, especially from the massive densification perspective. Naturally, it appears that 5G MU-MIMO will face a daunting task to achieve an end-to-end 1 ms ultra-low latency budget if traditional network set-ups criteria are strictly adhered to. Moreover, 5G latency will have added dimensions of scalability and flexibility compared to prior existing deployed technologies. The scalability dimension caters for meeting rapid demand as new applications evolve. While flexibility complements the scalability dimension by investigating novel non-stacked protocol architecture. The goal of this review paper is to deploy ultra-low latency reduction framework for 5G communications considering flexibility and scalability. The Four (4) C framework consisting of cost, complexity, cross-layer and computing is hereby analyzed and discussed. The Four (4) C framework discusses several emerging new technologies of software defined network (SDN), network function virtualization (NFV) and fog networking. This review paper will contribute significantly towards the future implementation of flexible and high capacity ultra-low latency 5G communications.

25

Kassa, Lemlem, Jianhua Deng, Mark Davis e Jingye Cai. "Machine Learning based Frame Size Optimization in WLAN Downlink MU-MIMO Channel with the Least Cost of Delay". International journal of Computer Networks & Communications 14, n. 6 (30 novembre 2022): 01–19. http://dx.doi.org/10.5121/ijcnc.2022.14601.

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The key enhancement in the medium access control (MAC) layer is frame aggregation introduced by the IEEE 802.11n/ac standard to accommodate the growing traffic demand in the WLAN by allowing multiple packets aggregated per transmission. Frame aggregation efficiently reduces control overhead in the MAC layer, such as the MAC header and thus it helps to enhance transmission efficiency and throughput performance of WLAN. However, heterogeneous traffic demand among streams in the WLAN downlink MU-MIMO channel creates a challenge to efficiently utilize the benefits of frame aggregation. Transmission efficiency is also compromised during frame size setting determination because when a frame size is larger, the impact of the overhead frame can be lower, but they are also more vulnerable to transmission errors. Thus, this trade-off between maximizing frame size and minimizing overhead frames should be addressed by employing an adaptive frame aggregation technique to derive the optimal frame size that would maximize the throughput in WLAN downlink MU-MIMO channel. Moreover, when frame aggregation approach is employed, more frames must wait before transmission in a buffer which causes a delay in the performance of WLAN. Thus, analysing the trade-off between maximizing throughput and minimizing delay is a critical issue that should also be addressed to enhance the performance of WLAN. However, the majority of the existing adaptive aggregation algorithms in the WLAN downlink MU-MIMO channel are focused to maximize the throughput or minimize the delay. The main contribution of this paper is to propose a machine learning-based frame size optimization algorithm by extending our earlier approach in considering the cost of delay to maximize the system throughput of WLAN. The effectiveness of the proposed scheme is evaluated over the FIFO Baseline Approach and earlier conventional approaches under the effects of various traffic patterns, channel conditions, and the number of STAs.

26

Sangdeh, Pedram Kheirkhah, Hossein Pirayesh, Qiben Yan e Huacheng Zeng. "DM-COM: Combining Device-to-Device and MU-MIMO Communications for Cellular Networks". IEEE Internet of Things Journal 8, n. 17 (1 settembre 2021): 13516–27. http://dx.doi.org/10.1109/jiot.2021.3066502.

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27

Zeng, Jie, Tiejun Lv, Ren Ping Liu, Xin Su, Y. Jay Guo e Norman C. Beaulieu. "Enabling Ultrareliable and Low-Latency Communications Under Shadow Fading by Massive MU-MIMO". IEEE Internet of Things Journal 7, n. 1 (gennaio 2020): 234–46. http://dx.doi.org/10.1109/jiot.2019.2945106.

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28

Panta, Jariya, Poompat Saengudomlert e Karel L. Sterckx. "Efficient User Grouping for MU-MIMO Visible Light Communications Based on Block Diagonalization". ECTI Transactions on Electrical Engineering, Electronics, and Communications 20, n. 3 (15 ottobre 2022): 329–38. http://dx.doi.org/10.37936/ecti-eec.2022203.247510.

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Abstract (sommario):

This paper investigates efficient user grouping methods for multi-user multi-input multi-output (MU-MIMO) visible light communication (VLC) systems. Block diagonalization (BD) precoding is considered for interference avoidance. In addition, time division multiplexing (TDM) is applied to perform user grouping when the number of users exceeds the limit of BD precoding based on the number of light emitting diode (LED) transmitters and the total number of users' photodiodes (PDs). User grouping methods are proposed based on pairwise interference considerations among users in the same group. The proposed methods can be implemented through integer linear programming (ILP), which requires less computation than exhaustive search. The numerical results on the average minimum user throughputs over random scenarios indicate that the proposed hybrid method can significantly outperform random user grouping and performs reasonably well compared to exhaustive search. Finally, this study demonstrates that, when BD precoding greatly attenuates the desired user signals, user grouping can help improve minimum user throughputs even though BD precoding can support all users as a single group.

29

Goutay, Mathieu, Faycal Ait Aoudia, Jakob Hoydis e Jean-Marie Gorce. "Machine Learning for MU-MIMO Receive Processing in OFDM Systems". IEEE Journal on Selected Areas in Communications 39, n. 8 (agosto 2021): 2318–32. http://dx.doi.org/10.1109/jsac.2021.3087224.

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30

Su, Shi, Wai-Tian Tan, Xiaoqing Zhu, Rob Liston, Herb Wildfeuer e Behnaam Aazhang. "Motion-Aware Optimizations for Downlink MU-MIMO in 802.11ax Networks". IEEE Transactions on Network and Service Management 18, n. 4 (dicembre 2021): 4088–102. http://dx.doi.org/10.1109/tnsm.2021.3117596.

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31

Urquiza Villalonga, David Alejandro, Hatem OdetAlla, M. Julia Fernández-Getino García e Adam Flizikowski. "Spectral Efficiency of Precoded 5G-NR in Single and Multi-User Scenarios under Imperfect Channel Knowledge: A Comprehensive Guide for Implementation". Electronics 11, n. 24 (19 dicembre 2022): 4237. http://dx.doi.org/10.3390/electronics11244237.

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Abstract (sommario):

Digital precoding techniques have been widely applied in multiple-input multiple-output (MIMO) systems to enhance spectral efficiency (SE) which is crucial in 5G New Radio (NR). Therefore, the 3rd Generation Partnership Project (3GPP) has developed codebook-based MIMO precoding strategies to achieve a good trade-off between performance, complexity, and signal overhead. This paper aims to evaluate the performance bounds in SE achieved by the 5G-NR precoding matrices in single-user (SU) and multi-user (MU) MIMO systems, namely Type I and Type II, respectively. The implementation of these codebooks is covered providing a comprehensive guide with a detailed analysis. The performance of the 5G-NR precoder is compared with theoretical precoding techniques such as singular value decomposition (SVD) and block-diagonalization to quantify the margin of improvement of the standardized methods. Several configurations of antenna arrays, number of antenna ports, and parallel data streams are considered for simulations. Moreover, the effect of channel estimation errors on the system performance is analyzed in both SU and MU-MIMO cases. For a realistic framework, the SE values are obtained for a practical deployment based on a clustered delay line (CDL) channel model. These results provide valuable insights for system designers about the implementation and performance of the 5G-NR precoding matrices.

32

Zeng, Zhirong, Huiqin Du e Zujian Wu. "Min-Max-MSE Transceiver Design for MU-MIMO VLC System". Wireless Communications and Mobile Computing 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/3080643.

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Abstract (sommario):

This paper considers a multiuser (MU) multiple-input multiple-output (MIMO) visible light communication (VLC) system with broadcast channels. Due to the simultaneous transmission of the different source data to the receivers covered with the light rays, the interuser interference (IUI) may degrade the system performance. We strive to suppress the IUI by minimizing the maximum mean square errors (MSE) under the assumption of the perfect knowledge of channel state information (CSI). However, since the CSI may not be perfectly known in practice, a robust design is required against the channel uncertainties. Additionally, the nonnegativity and the limited linear range of the optical signals have been taken into account in the VLC transceiver designs. Simulation results validate that the proposed min-max-MSE approach can provide fair transmission, compared with the minimization of sum-MSE approach. Furthermore, it is demonstrated that the robust scheme is capable of providing robustness and gaining a considerable bit error rate (BER) performance.

33

Castaneda, Oscar, Sven Jacobsson, Giuseppe Durisi, Tom Goldstein e Christoph Studer. "Finite-Alphabet MMSE Equalization for All-Digital Massive MU-MIMO mmWave Communication". IEEE Journal on Selected Areas in Communications 38, n. 9 (settembre 2020): 2128–41. http://dx.doi.org/10.1109/jsac.2020.3000840.

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34

Fang, Jian, Lei Wang, Zhenquan Qin, Jialin Liu e Bingxian Lu. "GCC: Group-Based CSI Feedback Compression for MU-MIMO Networks". Mobile Networks and Applications 23, n. 3 (3 febbraio 2018): 407–18. http://dx.doi.org/10.1007/s11036-018-1015-1.

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35

Zhang, Chuan, Jiejun Jin, Ye Xue, Xiaosi Tan, Christoph Studer, Zaichen Zhang e Xiaohu You. "Efficient Pre-Conditioned Descent Search Detector for Massive MU-MIMO". IEEE Transactions on Vehicular Technology 69, n. 5 (maggio 2020): 4663–76. http://dx.doi.org/10.1109/tvt.2020.2975878.

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36

Jeon, Charles, Zequn Li e Christoph Studer. "Approximate Gram-Matrix Interpolation for Wideband Massive MU-MIMO Systems". IEEE Transactions on Vehicular Technology 69, n. 5 (maggio 2020): 4677–88. http://dx.doi.org/10.1109/tvt.2020.2983025.

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37

Son, Hyukmin, Seonghyun Kim e Sanghoon Lee. "Maximum SINR-Based Receive Combiner for Cognitive MU-MIMO Systems". IEEE Transactions on Vehicular Technology 64, n. 9 (settembre 2015): 4344–50. http://dx.doi.org/10.1109/tvt.2014.2366951.

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38

Yan, Li, Xuming Fang e Cheng-Xiang Wang. "Position-Based Limited Feedback Scheme for Railway MU-MIMO Systems". IEEE Transactions on Vehicular Technology 65, n. 10 (ottobre 2016): 8361–70. http://dx.doi.org/10.1109/tvt.2015.2511021.

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39

Aboutorab, Neda, Wibowo Hardjawana e Branka Vucetic. "A New Resource Allocation Technique in MU-MIMO Relay Networks". IEEE Transactions on Vehicular Technology 60, n. 7 (settembre 2011): 3485–90. http://dx.doi.org/10.1109/tvt.2011.2160212.

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40

Khan, Imran, Mohammed H. Alsharif, Mohammad Haseeb Zafar, Madini O. Alassafi, Majid Ashraf, Yongming Huang, Jeong Kim e Jin Hong Kim. "An Efficient Algorithm for mmWave MIMO Systems". Symmetry 11, n. 6 (13 giugno 2019): 786. http://dx.doi.org/10.3390/sym11060786.

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Abstract (sommario):

Efficient and Symmetry based precoding plays a key role in wireless communications. In order to improve the transmission performance of multi-user millimeter wave Multiple-Input Multiple-Output (MIMO) (MU-mmWave MIMO) systems, this paper proposes an analog precoding scheme for the receiver of mmWave MIMO with split sub-array hybrid analog and digital architecture. Then, we propose a hybrid analog and digital precoding algorithm based on channel reciprocity (APoCR) to maximize the spectral efficiency by utilizing the triple joint optimization problem, which can be divided into the analog and digital part. The analog combination vectors (ACVs) are obtained by the signal-to-interference-and-noise ratio (SINR) reception maximization of each downlink user and the analog precoding vectors (APVs) are obtained by the SINR reception maximization of each uplink antenna array. The digital precoder of the transmitter is designed after the analog part optimization to alleviate the interference between multiple data streams of the users. The simulation results show that the proposed precoding algorithm has a better sum rate, fast convergence, and improved SINR than the other state-of-the-art algorithms.

41

LIU, Jingxiu, Xiaoming SHE, Lan CHEN e Hidekazu TAOKA. "A Multi-Stage Hybrid Scheduler for Codebook-Based MU-MIMO System". IEICE Transactions on Communications E92-B, n. 6 (2009): 2303–7. http://dx.doi.org/10.1587/transcom.e92.b.2303.

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42

Zhou, Anfu, Teng Wei, Xinyu Zhang e Huadong Ma. "Guidepost: Scalable MU-MIMO User Selection via Indirect Channel Orthogonality Evaluation". IEEE Transactions on Mobile Computing 18, n. 7 (1 luglio 2019): 1556–70. http://dx.doi.org/10.1109/tmc.2018.2857767.

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43

Wong, Wangkit, Kam-Wa Chau e S. H. Gary Chan. "Joint Client Association and Random Access Control for MU-MIMO WLANs". IEEE Transactions on Mobile Computing 19, n. 12 (1 dicembre 2020): 2818–32. http://dx.doi.org/10.1109/tmc.2019.2935197.

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44

Lukic, Djordje B., Goran B. Markovic e Dejan D. Drajic. "Two-Stage Precoding Based on Overlapping User Grouping Approach in IoT-Oriented 5G MU-MIMO Systems". Wireless Communications and Mobile Computing 2021 (7 gennaio 2021): 1–13. http://dx.doi.org/10.1155/2021/8887445.

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Abstract (sommario):

Downlink transmission techniques for multiuser (MU) multiple-input multiple-output (MIMO) systems have been comprehensively studied during the last two decades. The well-known low complexity linear precoding schemes are currently deployed in long-term evolution (LTE) networks. However, these schemes exhibit serious shortcomings in scenarios when users’ channels are strongly correlated. The nonlinear precoding schemes show better performance, but their complexity is prohibitively high for a real-time implementation. Two-stage precoding schemes, proposed in the standardization process for 5G new radio (5G NR), combine these two approaches and present a reasonable trade-off between computational complexity and performance degradation. Before applying the precoding procedure, users should be properly allocated into beamforming subgroups. Yet, the optimal solution for user selection problem requires an exhaustive search which is infeasible in practical scenarios. Suboptimal user grouping approaches have been mostly focused on capacity maximization through greedy user selection. Recently, overlapping user grouping concept was introduced. It ensures that each user is scheduled in at least one beamforming subgroup. To the best of our knowledge, the existing two-stage precoding schemes proposed in literature have not considered overlapping user grouping strategy that solves user selection, ordering, and coverage problem simultaneously. In this paper, we present a two-stage precoding technique for MU-MIMO based on the overlapping user grouping approach and assess its computational complexity and performance in IoT-oriented 5G environment. The proposed solution deploys two-stage precoding in which linear zero forcing (ZF) precoding suppresses interference between the beamforming subgroups and nonlinear Tomlinson-Harashima precoding (THP) mitigates interuser interference within subgroups. The overlapping user grouping approach enables additional capacity improvement, while ZF-THP precoding attains balance between the capacity gains and suffered computational complexity. The proposed algorithm achieves up to 45% higher MU-MIMO system capacity with lower complexity order in comparison with two-stage precoding schemes based on legacy user grouping strategies.

45

Lukic, Djordje B., Goran B. Markovic e Dejan D. Drajic. "Two-Stage Precoding Based on Overlapping User Grouping Approach in IoT-Oriented 5G MU-MIMO Systems". Wireless Communications and Mobile Computing 2021 (7 gennaio 2021): 1–13. http://dx.doi.org/10.1155/2021/8887445.

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Abstract (sommario):

Downlink transmission techniques for multiuser (MU) multiple-input multiple-output (MIMO) systems have been comprehensively studied during the last two decades. The well-known low complexity linear precoding schemes are currently deployed in long-term evolution (LTE) networks. However, these schemes exhibit serious shortcomings in scenarios when users’ channels are strongly correlated. The nonlinear precoding schemes show better performance, but their complexity is prohibitively high for a real-time implementation. Two-stage precoding schemes, proposed in the standardization process for 5G new radio (5G NR), combine these two approaches and present a reasonable trade-off between computational complexity and performance degradation. Before applying the precoding procedure, users should be properly allocated into beamforming subgroups. Yet, the optimal solution for user selection problem requires an exhaustive search which is infeasible in practical scenarios. Suboptimal user grouping approaches have been mostly focused on capacity maximization through greedy user selection. Recently, overlapping user grouping concept was introduced. It ensures that each user is scheduled in at least one beamforming subgroup. To the best of our knowledge, the existing two-stage precoding schemes proposed in literature have not considered overlapping user grouping strategy that solves user selection, ordering, and coverage problem simultaneously. In this paper, we present a two-stage precoding technique for MU-MIMO based on the overlapping user grouping approach and assess its computational complexity and performance in IoT-oriented 5G environment. The proposed solution deploys two-stage precoding in which linear zero forcing (ZF) precoding suppresses interference between the beamforming subgroups and nonlinear Tomlinson-Harashima precoding (THP) mitigates interuser interference within subgroups. The overlapping user grouping approach enables additional capacity improvement, while ZF-THP precoding attains balance between the capacity gains and suffered computational complexity. The proposed algorithm achieves up to 45% higher MU-MIMO system capacity with lower complexity order in comparison with two-stage precoding schemes based on legacy user grouping strategies.

46

Zhang, Ding, Panneer Selvam Santhalingam, Parth Pathak e Zizhan Zheng. "CoBF: Coordinated Beamforming in Dense mmWave Networks". ACM SIGMETRICS Performance Evaluation Review 51, n. 1 (26 giugno 2023): 105–6. http://dx.doi.org/10.1145/3606376.3593531.

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Abstract (sommario):

With MIMO and enhanced beamforming features, IEEE 802.11ay is poised to create the next generation of mmWave WLANs that can provide over 100 Gbps data rate. However, beamforming between densely deployed APs and clients incurs unacceptable overhead. On the other hand, the absence of up-to-date beamforming information restricts the diversity gains available through MIMO and multi-users, reducing the overall network capacity. This paper presents a novel approach of "coordinated beamforming" (called CoBF) where only a small subset of APs are selected for beamforming in the 802.11ay mmWave WLANs. Based on the concept of uncertainty, CoBF predicts the APs whose beamforming information is likely outdated and needs updating. The proposed approach complements existing per-link beamforming solutions and extends their effectiveness from link-level to network-level. Furthermore, CoBF leverages the AP uncertainty to create MU-MIMO groups through interference-aware scheduling in 802.11ay WLANs. With extensive experimentation and simulations, we show that CoBF can significantly reduce beamforming overhead and improve network capacity for 802.11ay WLANs.

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ZHAO, Long, Hui ZHAO e Kan ZHENG. "Energy efficient power allocation strategy for downlink MU-MIMO with massive antennas". Journal of China Universities of Posts and Telecommunications 20, n. 3 (giugno 2013): 1–7. http://dx.doi.org/10.1016/s1005-8885(13)60040-0.

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48

Ma, Yi, Abderraouf Yamani, Na Yi e Rahim Tafazolli. "Low-Complexity MU-MIMO Nonlinear Precoding Using Degree-2 Sparse Vector Perturbation". IEEE Journal on Selected Areas in Communications 34, n. 3 (marzo 2016): 497–509. http://dx.doi.org/10.1109/jsac.2016.2525378.

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49

Li, Ming, Guangyu Ti e Qian Liu. "Secure Beamformer Designs in MU-MIMO Systems With Multiuser Interference Exploitation". IEEE Transactions on Vehicular Technology 67, n. 9 (settembre 2018): 8288–301. http://dx.doi.org/10.1109/tvt.2018.2841387.

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50

Park, Gyu-Jeong, Rong Ran, Seong Keun Oh e Song-Nam Hong. "Soft-Output-Sparse-Aware (SOSA) Detector for Coded MU-MIMO Systems". IEEE Transactions on Vehicular Technology 67, n. 9 (settembre 2018): 8984–88. http://dx.doi.org/10.1109/tvt.2018.2846291.

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