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Статті в журналах з теми "Multi-hop MIMO Networks"
ONO, Fumie, and Kei SAKAGUCHI. "STBC MIMO Network Coding for Bi-directional Multi-Hop Relay Networks." IEICE Transactions on Communications E92-B, no. 12 (2009): 3676–82. http://dx.doi.org/10.1587/transcom.e92.b.3676.
Повний текст джерелаSmarra, F., A. D'Innocenzo, and M. D. Di Benedetto. "Fault Tolerant Stabilizability of MIMO Multi-Hop Control Networks." IFAC Proceedings Volumes 45, no. 26 (September 2012): 79–84. http://dx.doi.org/10.3182/20120914-2-us-4030.00048.
Повний текст джерелаZeng, Huacheng, Yi Shi, Y. Hou, Rongbo Zhu, and Wenjing Lou. "A novel MIMO DoF model for multi-hop networks." IEEE Network 28, no. 5 (September 2014): 81–85. http://dx.doi.org/10.1109/mnet.2014.6915444.
Повний текст джерелаPeng, Yu Yang, Jaeho Choi, Zi Chen Ren, and Jae Ho Choi. "Energy Efficient Multi-Hop Wireless Sensor Networks with Cooperative MIMO Scheme." Advanced Materials Research 660 (February 2013): 124–29. http://dx.doi.org/10.4028/www.scientific.net/amr.660.124.
Повний текст джерелаGunduz, Deniz, Mohammad A. Khojastepour, Andrea Goldsmith, and H. Vincent Poor. "Multi-hop MIMO relay networks: diversity-multiplexing trade-off analysis." IEEE Transactions on Wireless Communications 9, no. 5 (May 2010): 1738–47. http://dx.doi.org/10.1109/twc.2010.05.090915.
Повний текст джерелаChen, Chih-Liang, Wayne E. Stark, and Sau-Gee Chen. "Energy-Bandwidth Efficiency Tradeoff in MIMO Multi-Hop Wireless Networks." IEEE Journal on Selected Areas in Communications 29, no. 8 (September 2011): 1537–46. http://dx.doi.org/10.1109/jsac.2011.110904.
Повний текст джерелаKwon, Beom, Jongrok Park, and Sanghoon Lee. "Virtual MIMO broadcasting transceiver design for multi-hop relay networks." Digital Signal Processing 46 (November 2015): 97–107. http://dx.doi.org/10.1016/j.dsp.2015.08.003.
Повний текст джерелаLee, Kyu-haeng, and Daehee Kim. "Cross-Layer Optimization for Heterogeneous MU-MIMO/OFDMA Networks." Sensors 21, no. 8 (April 13, 2021): 2744. http://dx.doi.org/10.3390/s21082744.
Повний текст джерелаErdogan, Eylem, Sultan Çolak, Hakan Alakoca, Mustafa Namdar, Arif Basgumus, and Lutfiye Durak-Ata. "Interference Alignment in Multi-Hop Cognitive Radio Networks under Interference Leakage." Applied Sciences 8, no. 12 (December 4, 2018): 2486. http://dx.doi.org/10.3390/app8122486.
Повний текст джерелаZHOU, Chao, Xing-Gong ZHANG, and Zong-Ming GUO. "Optimization Scheme for Multi-User Video Transmission Over MIMO Multi-Hop Wireless Networks." Journal of Software 24, no. 2 (December 27, 2013): 279–94. http://dx.doi.org/10.3724/sp.j.1001.2013.04201.
Повний текст джерелаДисертації з теми "Multi-hop MIMO Networks"
Cavalcante, Ãtalo Vitor. "Tensor approach for channel estimation in MIMO multi-hop cooperative networks." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12442.
Повний текст джерелаIn this dissertation the problem of channel estimation in cooperative MIMO systems is investigated. More specifically, channel estimation techniques have been developed for a communication system assisted by relays with amplify-and-forward (AF) processing system in a three-hop scenario. The techniques developed use training sequences and enable, at the receiving node, the estimation of all the channels involved in the communication process. In an initial scenario, we consider a communication system with N transmit antennas and M receive antennas and between these nodes we have two relay groups with R1 and R2 antennas each. We propose protocols based on temporal multiplexing to coordinate the retransmission of the signals. At the end of the training phase, the receiving node estimates the channel matrices by combining the received data. By exploiting the multilinear (tensorial) structure of the sets of signals, we can model the received data through tensor models, such as PARAFAC and PARATUCK2 . This work proposes the combined use of these models and algebraic techniques to explore the spatial diversity. Secondly, we consider that the number of transmit and receive antennas at the relays may be different and that the data can travel in a bidirectional scheme (two-way). In order to validate the algorithms we use Monte-Carlo simulations in which we compare our proposed models with competing channel estimation algorithms, such as, the PARAFAC and Khatri-Rao factorization based algorithms in terms of NMSE and bit error rate.
Nesta dissertaÃÃo o problema de estimaÃÃo de canal em sistemas MIMO cooperativos à investigado. Mais especificamente, foram desenvolvidas tÃcnicas para estimaÃÃo de canal em um sistema de comunicaÃÃo assistida por relays com processamento do tipo amplifica-e-encaminha (do inglÃs, amplify-and-forward) em um cenÃrio de 3 saltos. As tÃcnicas desenvolvidas utilizam sequÃncia de treinamento e habilitam, no nà receptor, a estimaÃÃo de todos os canais envolvidos no processo de comunicaÃÃo. Em um cenÃrio inicial, consideramos um sistema de comunicaÃÃo com N antenas transmissoras e M antenas receptoras e entre esses nÃs temos dois grupos de relays com R1 e R2 antenas cada um. Foram desenvolvidos protocolos de transmissÃo baseado em multiplexaÃÃo temporal para coordenar as retransmissÃes dos sinais. Ao final da fase de treinamento, o nà receptor faz a estimaÃÃo das matrizes de canal atravÃs da combinaÃÃo dos dados recebidos. Explorando a estrutura multilinear (tensorial) dos diversos conjuntos de sinais, podemos modelar os dados recebidos atravÃs de modelos tensoriais, tais como: PARAFAC e PARATUCK2. Este trabalho propÃe a utilizaÃÃo combinada desses modelos e de tÃcnicas algÃbricas para explorar a diversidade espacial. Em um segundo momento, consideramos que o nÃmero de antenas transmissoras e receptoras dos relays podem ser diferentes e ainda que os dados podem trafegar em um esquema bidirecional (do inglÃs, two-way). Para fins de validaÃÃo dos algoritmos utilizamos simulaÃÃes de Monte-Carlo em que comparamos os modelos propostos com outros algoritmos de estimaÃÃo de canal, tais como os algoritmos baseados em PARAFAC e FatoraÃÃo de Khatri-Rao em termos de NMSE e taxa de erro de bit.
Gao, Cunhao. "Some Modeling and Optimization Problems in Cognitive Radio Ad Hoc Networks." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/35020.
Повний текст джерелаMaster of Science
Qin, Xiaoqi. "On Throughput Maximization in a Multi-hop MIMO Ad Hoc Network." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23160.
Повний текст джерелаIn this thesis, we employ a new DoF model, which can ensure feasible solution and achieve
a higher DoF region than previous DoF-based models. Based on this model, we study the DoF scheduling for a multi-hop MIMO network. Specifically, we aim to maximize the minimum rate among all sessions in the network. Some researches have been done based on this model to solve throughput optimization problems with the assumption that the route of each session is given priori. Although the fixed routing decreases the size of the problem, it also limits the performance of the network to a great extent.
The goal of this thesis is to employ this new model to solve the throughput maximization
problem by jointly considering flow routing, scheduling, and DoF allocation for SM and IC. We
formulate it as a mixed integer linear program (MILP), which cannot be solved efficiently by
commercial softwares even for moderate sized networks. Thus, we develop an efficient polynomial time algorithm by customizing the sequential fixing framework. Through simulation results, we show that this algorithm can efficiently provide near-optimal solutions for networks with different sizes.
Master of Science
Katayama, Masaaki, Takaya Yamazato, and Zheng Huang. "Optimal Cluster Partitioning for Wireless Sensor Networks with Cooperative MISO Scheme." IEEE, 2010. http://hdl.handle.net/2237/14500.
Повний текст джерелаHuang, Zheng, Takaya Yamazato, and Masaaki Katayama. "Energy Efficiency of Cooperative MISO Technique in Multi-hop Wireless Sensor Networks." IEEE, 2008. http://hdl.handle.net/2237/12137.
Повний текст джерелаLiu, Jia-wei, and 劉家維. "MIMO-Assisted Congestion-Adaptive Routing for Multi-Hop Mobile Ad Hoc Networks." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/27348166041333198920.
Повний текст джерела國立中山大學
電機工程學系研究所
99
A packet will be dropped when it arrives at a congested node in a routing path. The authors of [22] proposed the CRP protocol that can alleviate the congestion problem by splitting the traffic to the bypass nodes. In this thesis, we propose a new routing protocol, called MIMO-assisted congestion-adaptive routing protocol (MCRP for short), for multi-hop mobile ad hoc networks (MANETs for short). In MCRP, nodes periodically record the information of their rate-link/range-link neighbors. MCRP alleviates the congestion problem by dynamically adjusting the MIMO antenna mode and splitting the traffic to the downstream range-link neighbors. In addition, MCRP can quickly reestablish the routing path when it is broken due to node failure or mobility. Simulation results show that MCRP outperforms the existing protocols in terms of packet delivery ratio and end-to-end throughput.
Chen, Jing-Yu, and 陳璟裕. "Power Allocation Scheme in Multi-Hop MIMO Amplify-and-Forward Relay Networks." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/73986072037846988595.
Повний текст джерела國立中山大學
通訊工程研究所
99
With perfect channel state information at all the transmission terminals, the asymptotic capacity of multi-hop multiple-input multiple-output(MIMO) amplify-andforward(AF) relay channels is derived. Although the derivation is based on the assumption of a large number of antennas, simulation results show that the derived expression is surprisingly accurate for even a small number of antennas, and may even be superior to existing results. In addition, based on the asymptotic result, we present different power allocation schemes to (i) minimization the transmit power; (ii) maximization the network throughput; (iii) minimization the transmit power over all source. Fortunately, the proposed power allocation problems can be formulated using geometric programming(GP). Therefore, the optimal power distribution among the multi-hop relay can be obtained efficiently. For multiuser scenarios, since it is possible that the QoS of each user cannot be satisfied simultaneously, we study jointly admission control and power allocation optimization problem. This joint problem is NP-hard. Therefor, we propose an iterative algorithm to reduced the complexity.
Som, Pritam. "Performance Analysis of Space Shift Keying in Cooperative Relaying Systems." Thesis, 2014. http://etd.iisc.ac.in/handle/2005/4111.
Повний текст джерелаPourahmadi, Vahid. "On the Optimal Transmission Strategies for Sources without Channel State Information." Thesis, 2011. http://hdl.handle.net/10012/6320.
Повний текст джерелаЧастини книг з теми "Multi-hop MIMO Networks"
Luo, Lin, Dengyuan Wu, and Hang Liu. "MIMO-Aware Spectrum Access and Scheduling in Multi-hop Multi-channel Wireless Networks." In Wireless Algorithms, Systems, and Applications, 161–72. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07782-6_15.
Повний текст джерелаZhang, Peng, Xu Ding, Jing Wang, Zengwei Lyu, and Lei Shi. "The Throughput Optimization for Multi-hop MIMO Networks Based on Joint IA and SIC." In Wireless Algorithms, Systems, and Applications, 96–104. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59019-2_11.
Повний текст джерелаAshraf, Usman, Syed Salman Haider Rizvi, and Mohammad Faisal Azeem. "Performance Evaluation of Routing Metrics in Wireless Multi-Hop Networks." In Advances in Data Mining and Database Management, 85–104. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9767-6.ch006.
Повний текст джерелаТези доповідей конференцій з теми "Multi-hop MIMO Networks"
Kudathanthirige, Dhanushka, and Gayan Amarasuriya. "Multi-Hop Massive MIMO Relay Networks." In 2018 IEEE International Conference on Communications (ICC 2018). IEEE, 2018. http://dx.doi.org/10.1109/icc.2018.8422417.
Повний текст джерелаZeng, Huacheng, Yi Shi, Y. Thomas Hou, Wenjing Lou, Sastry Kompella, and Scott F. Midkiff. "On interference alignment for multi-hop MIMO networks." In IEEE INFOCOM 2013 - IEEE Conference on Computer Communications. IEEE, 2013. http://dx.doi.org/10.1109/infcom.2013.6566926.
Повний текст джерелаLang, Y., D. Wubben, and K. D. Kammeyer. "Power Allocations for Adaptive Distributed MIMO Multi-Hop Networks." In ICC 2009 - 2009 IEEE International Conference on Communications. IEEE, 2009. http://dx.doi.org/10.1109/icc.2009.5199351.
Повний текст джерелаKhattab, A., A. Sabharwal, and E. W. Knightly. "Fair Randomized Antenna Allocation in Asynchronous MIMO Multi-Hop Networks." In 17th International Conference on Computer Communications and Networks 2008. IEEE, 2008. http://dx.doi.org/10.1109/icccn.2008.ecp.39.
Повний текст джерелаKolomytsev, Maksym, and Kostiantyn Shalbanov. "Efficiency estimation of using MIMO technology in multi-hop networks." In 2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom). IEEE, 2014. http://dx.doi.org/10.1109/blackseacom.2014.6849022.
Повний текст джерелаDash, Dipti, and Debarshi Kumar Sanyal. "Topology-Transparent Scheduling for Dense Multi-hop MIMO Wireless Networks." In 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE). IEEE, 2018. http://dx.doi.org/10.1109/icrieece44171.2018.9009283.
Повний текст джерелаShi, Yi, Jia Liu, Canming Jiang, Cunhao Gao, and Y. Thomas Hou. "An optimal link layer model for multi-hop MIMO networks." In IEEE INFOCOM 2011 - IEEE Conference on Computer Communications. IEEE, 2011. http://dx.doi.org/10.1109/infcom.2011.5934994.
Повний текст джерелаZeng, Huacheng, Yi Shi, Y. Thomas Hou, and Wenjing Lou. "An efficient DoF scheduling algorithm for multi-hop MIMO networks." In IEEE INFOCOM 2013 - IEEE Conference on Computer Communications. IEEE, 2013. http://dx.doi.org/10.1109/infcom.2013.6566950.
Повний текст джерелаCoso, Aitor, Stefano Savazzi, Umberto Spagnolini, and Christian Ibars. "Virtual MIMO Channels in Cooperative Multi-hop Wireless Sensor Networks." In 2006 40th Annual Conference on Information Sciences and Systems. IEEE, 2006. http://dx.doi.org/10.1109/ciss.2006.286439.
Повний текст джерелаHamdaoui, Bechir, and Kang G. Shin. "Constraint Design and Modelling of Multi-Hop Multi-Band Wireless MIMO Networks." In 2008 International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2008. http://dx.doi.org/10.1109/iwcmc.2008.158.
Повний текст джерела