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Автор: Grafiati
Опубліковано: 26 жовтня 2023

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Статті в журналах з теми "MIMO COMMUNICATION SYSTEM"

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Kai, Tao, Sun Xiaoyun, Wang Yang, and Jingchun Li. "System Modeling and Precoding Design for Multi-beam Dual-polarized Satellite MIMO System." Recent Patents on Engineering 13, no. 4 (December 27, 2019): 374–81. http://dx.doi.org/10.2174/1872212112666181015150356.

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Анотація:
Background: As the multimedia service develops and the transmission rate in terrestrial communication systems increases rapidly, satellite communication needs to improve the transmission rate and throughput. Multiple Input Multiple Output (MIMO) techniques can increase the system capacity significantly by introducing the space dimension, as the system bandwidth remains the same. Therefore, utilization of MIMO for satellite communications to increase the capacity is an important research topic. So MIMO techniques for multibeam satellite communications are researched in the dissertation. Objective: The goal of this work is improving the capacity of the satellite system. Multi-beam and dual-polarized technologies are applied to a satellite system to improve the capacity further. Methods: In this paper, we first introduce a multi-beam dual-polarized satellite multi-put and multiout (MBDP-S-MIMO) system which combines the full frequency multiplexing and dual-polarization technologies. Then the system model and channel model are first constructed. At last, to improve the capacity further, BD and BD-ZF precoding algorithms are applied to MBDP-S-MIMO and their performance is verified by simulation. Results: Simulation results show the performance of the BD precoding algorithm gets better with the growth of the XPD at the receiver and is almost not affected by the growth of the channel polarization correlation coefficient. In addition, with the growth of the users’ speed, the performance becomes worse. Conclusion: The multi-beam dual-polarized satellite MIMO system has high capacity, and it has certain application prospects for satellite communication.
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2

Nguyen, Hoang, Johnson I. Agbinya, and John Devlin. "Channel Characterisation and Link Budget of MIMO Configuration in Near Field Magnetic Communication." International Journal of Electronics and Telecommunications 59, no. 3 (September 1, 2013): 255–62. http://dx.doi.org/10.2478/eletel-2013-0030.

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Анотація:
Abstract Traditional radio communication has gained significantly from using multiple input and multiple output (MIMO) architecture in the system. Many wireless applications, such as wireless LAN and cellular network, have adopted this technology to improve their system performance. However, the effect of MIMO systems has not been investigated in the case of inductive near field short range communications. The purpose of this paper is to explore a new method for increasing the magnetic communication range using MIMO. Three system models includingMISO, SIMO and MIMO are proposed to characterize the number of transmitters and receivers to the link. These models have helped to extend not only the range but also the communication channel in NFMIC.
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3

Dr.Raad.H., Thaher. "Environmental Analysis of MIMO Channel Capacity Under Variable." مجلة جامعة الملكة أروى العلمية المحكمة 1, no. 7 (December 30, 2011): 24. http://dx.doi.org/10.58963/qausrj.v1i7.45.

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Анотація:
Digital communication using MIMO has been one of the most promising research areas in wireless communictions nowadays as it offers a lot of promises for future wireless communications .MIMO seems to be the only technology that is advancing the wireless industry from 3Gto 4G systems .I n this work MIMO system has been studied in great detail and simulated for different cases and it was concentrated on the performance of its capacity under several environmental conditions . MIMO system offer significant gains in performance over traditional wireless communication systems . Spatial multiplexing increases system throughput without consuming frquency spectrum and spatial diversity make the link more robust .MIMO system was described was described and simulation results were presented and discussed. Multiple antenna techniques are a key to boosting the performance of modern wireless systems.Key words: MIMO, spatial multiplexing, capacity, diversity,SNR
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Jit Singh, Mandeep Singh, Wan Syahrum Wan Saleh, Amer T. Abed, and Muhammad Ashraf Fauzi. "A Review on Massive MIMO Antennas for 5G Communication Systems on Challenges and Limitations." Jurnal Kejuruteraan 35, no. 1 (January 30, 2023): 95–103. http://dx.doi.org/10.17576/jkukm-2023-35(1)-09.

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Анотація:
High data rate transfers, high-definition streaming, high-speed internet, and the expanding of the infrastructure such as the ultra-broadband communication systems in wireless communication have become a demand to be considered in improving quality of service and increase the capacity supporting gigabytes bitrate. Massive Multiple-Input Multiple-Output (MIMO) systems technology is evolving from MIMO systems and becoming a high demand for fifth-generation (5G) communication systems and keep expanding further. In the near future, massive MIMO systems could be the main wireless systems of communications technology and can be considered as a key technology to the system in daily lives. The arrangement of the huge number of antenna elements at the base station (BS) for uplink and downlink to support the MIMO systems in increasing its capacity is called a Massive MIMO system, which refers to the vast provisioning of antenna elements at base stations over the number of the single antenna of user equipment. Massive MIMO depends on spatial multiplexing and diversity gain in serving users with simple processing signal of uplink and downlink at the BS. There are challenges in massive MIMO system even though it contains numerous number of antennas, such as channel estimation need to be accurate, precoding at the BS, and signal detection which is related to the first two items. On the other hand, in supporting wideband cellular communication systems and enabling low latency communications and multi-gigabit data rates, the Millimeter-wave (mmWave) technology has been utilized. Also, it is widely influenced the potential of the fifth-generation (5G) New Radio (NR) standard. This study was specifically review and compare on a few designs and methodologies on massive MIMO antenna communication systems. There are three limitations of those antennas were identified to be used for future improvement and to be proposed in designing the massive MIMO antenna systems. A few suggestions to improve the weaknesses and to overcome the challenges have been proposed for future considerations.
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5

BAKULIN, M. G., V. B. KREYNDELIN, and M. L. KHAZOV. "NEW QUASI-OPTIMAL ALGORITHMS OF ANTENNA SELECTION WITH LOW COMPLEXITY." T-Comm 17, no. 7 (2023): 47–56. http://dx.doi.org/10.36724/2072-8735-2023-17-7-47-56.

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Анотація:
Classical MIMO system model without antenna selection and MIMO system model with antenna selection are presented. New quasi-optimal low complexity algorithms of antenna selection are proposed for MIMO communication systems. These algorithms allow to achieve high spectral efficiency without significant increase of complexity. The statistical modeling method is used to evaluate the efficiency of the proposed algorithms and to compare their characteristics with the characteristics of the known algorithms of full and partial combined selection. The computational complexity of the proposed algorithms is evaluated and been compared with the computational complexity of the well-known algorithms of full and partial combined selection in low-order and high-order MIMO system configurations. The possibility of practical application of new quasi-optimal algorithms in real communication systems is clearly demonstrated by comparative analysis of error-rate performance in conjunction with an assessment of computational complexity. These applications provide significantly improving of the energy performance of MIMO communication systems and it allows to improve quality characteristics of communications for subscribers or could be exchanged to the lower price of construction and maintenance of real communication systems.
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Agrawal, Anurag Vijay, and Meenakshi Rawat. "Reliable Integrated Satellite Terrestrial Communications using MIMO for Mitigation of Microwave Absorption by Earths Oxygen." Defence Science Journal 69, no. 5 (September 17, 2019): 458–63. http://dx.doi.org/10.14429/dsj.69.14951.

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Анотація:
Microwaves are used to communicate with satellite and terrestrial communication networks. But as microwaves pass through the Earth’s atmosphere, the oxygen gas absorbs microwave. In this 5G era, when the whole world is moving towards high data-rates and reliable communications, this absorption affects the data transmission in Integrated Satellite/Terrestrial Communication (ISTC) systems, which leads to degradation of the system performance. The multiple-input-multiple-output (MIMO) technology has become a boon for modern wireless communication systems to achieve the necessities of higher data-rates and communication reliability. The paper analyses the MIMO effect on block error rate (BLER), error vector magnitude (EVM) and throughput performance of the data transmission with different MIMO configurations. The paper establishes that better data-rates as well as reliable data communication is achieved with higher order MIMO configurations. MIMO 8×1 provides 5, 20 and 42.5 times improved performance to BLER; 5.26%, 25% and 81.82% in throughput; and 10.34%, 23.07% and 28% in EVM calculations as comparable to MIMO 4×1, MIMO 2×1 and SISO 1×1, respectively at 15 dB signal-to-noise ratio (SNR). The authors also give a new concept of multi-cellular layers based mobile communication network, useful for future smart cities.
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7

P., Karrupusamy. "MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM." December 2019 2019, no. 02 (December 29, 2019): 107–16. http://dx.doi.org/10.36548/jei.2019.2.006.

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Анотація:
As the telecommunication services totally relies on the optical fiber for extending communications, it necessary that the optical communication system be capable of handling high speed, multiple channels and long haul signal transmission. recently the emergence of the optical coherent 100 GB/s and the digital signal processing has made possible the perfect signal transmission even for the MIMO (multiple input multiple output system) as they are well reformed to permit multiple wireless signal that holds different carrier frequencies. So the optical fiber system has become prominent among the applications like, large universities, banks and other private networks. However the speed in the transmission of the multiple wireless signals through single cable experiences performance issues in terms of speed, so the proposed method utilizes the 60 GHz, radio over fiber MIMO with effective spectrum allocation and the return zero differential phase shift keying to improve the communication speed and suppress the crosstalk respectively. The proposed system enriches the seamless communication with the QPSK-OFDM MIMO channels achieving 85 % in the data transmission rate, reducing the error correction rate to 5%.
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Kumari, Prabha. "A Survey on Spatial Modulation and MIMO System for Emerging Wireless Communication." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3059–62. http://dx.doi.org/10.22214/ijraset.2021.35590.

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Анотація:
In this paper we have studied about Spatial Modulation (SM) in MIMO system. Spatial modulation is a unique and newly proposed technique. Spatial modulation is a multiple input multiple output technique which provides higher throughput and gain as compared to Quadrature Amplitude Modulation. Spatial modulation is a technique which enhances the performance of MIMO system. Spatial modulation and MIMO technique are used to attracted research for its high energy and spectral efficiency because it is working on single RF chain. This paper has considered the advantages of spatial modulation and MIMO systems, using different technique to improve the bandwidth efficiency. Some of such MIMO systems applications are discussed wherein become a requirement for an emerging wireless communication system.
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Wang, Yi, Shan Zhen, Xing Zhe Hou, Hong Liang Sun, Kai Bo Luo, and Tan Jie Zhou. "Virtual-MIMO Cooperation Communication Based on Integrated Power Line and Wireless Communication System." Advanced Materials Research 986-987 (July 2014): 2086–90. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.2086.

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Анотація:
Power line communication (PLC) is a competitive technology in broad band access services and smart grids considering it widely distribution and low infrastructure built cost. This paper proposes a new PLC virtual MIMO cooperation system merged with the wireless communication to improve the reliability and capacity performance of conventional PLC system. A wireless interface is integrated in the conventional PLC modems. The nearby PLC modems constitute a V-MIMO module to share their transmitting information via the wireless link. The PLC modem in different V-MIMO module can communicate with each other through power line. The outage probability and capacity simulation results prove that new system can significantly increase the PLC system throughput and the link reliability.
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10

Muoghalu, C. N., P. N. Achebe, and F. A. Aigbodioh. "MIMO-OFDM Techniques for Wireless Communication System: Performance Evaluation Review." International Journal of Advanced Networking and Applications 14, no. 04 (2023): 5572–81. http://dx.doi.org/10.35444/ijana.2023.14410.

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Анотація:
The use of multiple antennas in wireless communication systems has resulted in multiple channels that facilitate the speed of data transfer and improved channel capacity. This technique that basically involves multiple input and multiple output (MIMO) antennas helps to improve system performance by reducing bit error rate (BER) while increasing signal to noise ratio (SNR). Also, the use of orthogonal frequency division multiplexing (OFDM) has helped in mitigating inter-symbol interference (ISI). A combination of MIMO and OFDM produces the MIMO-OFDM scheme. This paper reviewed the performance of BER in MIMO-OFDM system considering various digital modulation techniques. An empirical review of previous studies on MIMO-OFDM system regarding BER performance evaluation was carried out. The study demonstrated the performance of digital modulation schemes in OFDM system with respect the Quadrature Amplitude Modulation (QAM). The results of the simulation based on MATLAB code revealed that lower order modulation yielded better BER performance than higher order. Furthermore,MIMO-OFDM system was modeled in MATLAB/Simulink and simulated to show that the use of multiple antennas at the transmitter and receiver helps in improving the performance of wireless communication system by reducing BER while increasing SNRconsidering two multipath channels – Rayleigh and Rician.
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Дисертації з теми "MIMO COMMUNICATION SYSTEM"

1

Grabner, Mitchell John James. "Practical Robust MIMO OFDM Communication System for High-Speed Mobile Communication." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc799501/.

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Анотація:
This thesis presents the design of a communication system (PRCS) which improves on all aspects of the current state of the art 4G communication system Long Term Evolution (LTE) including peak to average power ratio (PAPR), data reliability, spectral efficiency and complexity using the most recent state of the art research in the field combined with novel implementations. This research is relevant and important to the field of electrical and communication engineering because it provides benefits to consumers in the form of more reliable data with higher speeds as well as a reduced burden on hardware original equipment manufacturers (OEMs). The results presented herein show up to a 3 dB reduction in PAPR, less than 10-5 bit errors at 7.5 dB signal to noise ratio (SNR) using 4QAM, up to 3 times increased throughput in the uplink mode and 10 times reduced channel coding complexity.
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2

SAXENA, GAURAV. "DESIGN AND ANALYSIS OF MICROWAVE COMPONENTS FOR MIMO COMMUNICATION SYSTEM." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2020. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18776.

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Анотація:
Wireless communication demands better channel capacity with a high data rate in the modern era. To fulfill these demands, the MIMO-communication systems are developed that use manifold antennas for transmitter and receiver end. MIMO is a state-of-art technology that improves the reliability of the communication systems by utilizing the diversity technique to mitigate the multi-path fading issues, where signals may come together belligerently at the receiver. Improve spectral efficiency is achieved by the total transmitted power spreading over the antennas. Thus, MIMO can increase channel capacities as well as the reliability of the communication system without sacrificing extra transmitted power or power spectrum. Several MIMO antennas have been designed in the literature to improve their characteristics in terms of impedance bandwidth; miniaturization & isolation improvement. The MIMO-communication systems with THz range are required for high data speed in Terabit/sec (Tbps). Also, it is providing very high throughput per device (from multiple Gbps to several Tera-bps) including per area efficiency (bps/km2). It is also predicted that the world monthly traffic in smartphones will be about 40 Peta-bytes in 2021, so the demand for MIMO antennas will be increased in the future. In this thesis, various microwave components for the MIMO wireless communication system has been analyzed and designed. Three major components designed and analyzed in this thesis are 1. MIMO Antennas 2. Metamaterial Absorber 3. UWB Microwave Filter MIMO Antennas: In this thesis, various MIMO antennas for UWB, SWB, and Multiband applications have been designed. Various decoupling techniques to avoid the v interference between antenna elements are designed which enhancing the diversity parameters with improved channel capacity for modern wireless applications. To mitigate the interference between bands and to improve the reliability of the signals, a notch characteristic has been introduced. SAR analysis also discusses in this thesis with the human head and confirms that proposed MIMO antennas are in the acceptable range with 1g and 10g of bio tissues given by FCC and EU for mobile and other near field applications. All the MIMO antennas with different frequency characteristics are discussed in Chapter-2 to Chapter-6. Metamaterial Absorber: To improve the isolation level in MIMO antennas as well as to minimize the Radar Cross Section (RCS) and Electromagnetic Interference (EMI), a design of multiband metamaterial absorber (MMA) for X-band applications has been suggested. This MMA provides three high absorbance bands at 8.2GHz, 9.45GHz, and 12.45GHz with 99.4%, 96.4%, and 91.25% absorbance respectively. Proposed MMA is polarization insensitive in all three bands with minimum RCS -33.2dBm2. This absorber structure has designed on FR-4 (4.4) substrate having tanδ = 0.02 with unit cell dimension 20×20×1mm3. So the proposed absorber is found appropriate for stealth aircraft, RCS and EMC reduction, isolation in MIMO antenna, imaging, and sensing in the X-band applications, discussed in Chapter-7. UWB Microwave Filter: In this research work, the design of the UWB filter with extended stopband characteristics by using a parallel-coupled line, open-ended line, multimode resonator (MMR), and defected ground structure (DGS) has been presented. This filter provides good return and insertion loss in the passband (3.1-10.6GHz) as well as stopband (10.8-18GHz). The group delay of the filter is almost constant throughout the passband. Detailed analysis of supportive coupled, feeding, and the open-ended line is vi verified with equivalent circuits. The prototype of the filter is compact as 22×20mm2 with a 109% fractional bandwidth. The proposed filter is suited for recent weather reporting Radar, Imaging, and Satellite receiver systems because simulated results have good agreement with measured results as discussed in the Chapter-8. RESEARCH OBJECTIVES: The major objectives of the research work are listed below: 1. To enhance the impedance bandwidth of the MIMO antenna and microstrip filter for various wireless applications. 2. To design and analyze the circularly polarized MIMO antenna for GPS, vehicular and 5G applications. 3. To enhance the isolation between the various elements of the MIMO antenna, to improve the various diversity parameters. 4. To enhance the specific absorption ratio (SAR) performance of the MIMO antenna for a handhold and mobile applications. 5. To design a Metasurface for stealth and isolation improvement in MIMO antenna applications.
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3

Turpin, Michael J. "An investigation of a multiple-input-multiple-output communication system with the Alamouti Space-time code." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FTurpin.pdf.

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4

Liu, Ran, and Hao Liu. "Maximum Capacity Antenna Design for an Indoor MIMO UWB Communication System." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4476.

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Анотація:
Ultra-wideband (UWB) offers a high data rate transmission, however it only can be used in short distance communication due to its low power restricted by regulations, therefore it is applicable for an indoor scenario. Within an enclosed (indoor) scenario, there exist many possible multipaths of electromagnetic waves which lead to an effect known as fading [Big07]. Since SISO systems suffer severely from it, in contrast, multiple-output-multiple-input (MIMO) systems take advantage of this multipath/diversity effect. Typical MIMO system utilizes antenna arrays to generate subchannels, but it has no guarantee of orthogonal channels or maximum capacity. Using a new antenna synthesis algorithm, optimal subchannels can be computed by decomposing the MIMO channel into parallel SISO subchannels through the employment of sampling antennas. Thereafter optimal real word antennas can be designed according to the synthesized antenna radiation pattern which result in the reduced hardware. The goal of this thesis will be expressed as follows: Firstly, a good strategy planning to reduce computing effort should be realized since all the design parameters to be analyzed are frequency dependent. Furthermore, a systematic framework of the synthesis must be designed for the UWB band. Lastly, the corresponding real world antenna should be designed and verified. In this thesis, a systematic synthesis framework has be developed and analyzed for the UWB spectrum. The channel matrix acquisition, the design of the ‘sampling antennas’ along with the algorithm to decompose the MIMO channel into parallel independent SISO subchannels are discussed in detail. Two realizations of the real world antennas as well as all the challenges in the design process are also presented. As consequences, an antenna system with optimal radiation pattern has been synthesized. This antenna system radiates orthogonal channels with sufficient power and has fixed beamforming (direction optimized according to the scenario and with averaging over various positions along with rotations) at the transmitter and receiver. The maximum capacity takes into account the scenario, frequency band, physical available space for the antenna array and polarization (added degree of freedom). This work also organizes the antenna synthesis algorithm for UWB in a systematic framework, meeting the objectives of the project.
In this thesis, a UWB antenna synthesis based on the averaging strategies for the predefined indoor communication scenarios has been proposed, which contains both the indoor communication theoretical analysis and real world realization. The algorithm can be applied in an arbitrary indoor scenario over ultra wideband frequency. All synthesized results demonstrated that the designed sampling antenna configuration is able to provide optimized solutions. The synthesis method is based on computing optimal antenna configurations for a MIMO ultrawideband system. In order to maximize the throughput, there exists a sampling volume for both transmit and receive antennas. As such, the face-centered and body-centered cubic antenna arrays are utilized. Given that the system operates in the UWB band with a cognitive feature, the type of antenna, orientation, placement and MIMO diversity scheme have been well investigated. The radiation patterns of the antenna array cover the sampling volume and the bandwidth cover the UWB band. The goal of this thesis work concentrates on the analysis of an indoor communication to find an optimum solution on the antenna configuration and placement. The final objective was to design and realize an optimal MIMO-UWB antenna system.
Add: Waldhornstrasse 19, Karlsruhe, 76131, Germany Tel: +49 176 34467663
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5

Yu, Yiwei. "MIMO block spread OFDMA system for next generation mobile communications." Access electronically, 2008. http://ro.uow.edu.au/theses/109.

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6

Huang, Wei. "Linear transceiver design in MIMO system with imperfect channel state information /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?ECE%202007%20HUANG.

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7

Yang, Yumeng. "MIMO radio-over-fibre distributed antenna system for next generation wireless communication." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/270865.

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Анотація:
This thesis introduces low-cost implementations for the next generation distributed antenna system (DAS) using analogue radio over fibre. A multiple-input-multiple-output (MIMO) enabled radio over fibre (RoF) system using double sideband (DSB) frequency translation system is proposed. In such a system, the 2x2 MIMO signals can be transmitted to the remote antenna units (RAUs) from the base station via a single optical link. By using the DSB frequency translation, the original single-input-single-output (SISO) DAS can be upgraded into the MIMO DAS without implementing parallel optical links. Experimentally, the DSB frequency translation 2x2 MIMO RoF system transmits 2x2 LTE MIMO signals with 20MHz bandwidth in each channel via a 300m MMF link. The condition number of the system is < 10dB within the power equaliser bandwidth which means the MIMO system is well-conditioned and the crosstalk between the channels can be compensated by the MIMO signal processing. To install the DSB frequency translation system in a wideband service-agnostic DAS, the original MIMO signals need to be translated into unoccupied frequency bands over the DAS, which are usually occupied by specific applications that are not to be transmitted over the DAS. The frequency spectrum allocation of the wireless services is analysed showing that by choosing a particular LO frequency (2.2GHz in the UK), in the DSB frequency translation system, the original MIMO signals can always be translated into unoccupied frequency bands so that the same infrastructure can support multiple services. The idea of DSB frequency translation system can not only support MIMO radio over fibre but can also improve the SFDR of a general radio over fibre system. Because when the upper sideband and the lower sideband of the signal after translation are converted back to the original frequency band, the noise adds incoherently but the signals add-up coherently, this gives the system theoretically 2dB 3rd order SFDR improvement. If the idea of the DSB frequency translation is extended into a higher number of sidebands, the system SFDR can be further improved. Experimentally, the system 3rd order SFDR can be improved beyond the intrinsic optical link by 2.7dB by using quadruple sideband (QSB) frequency translation. It means the optical bandwidth in a general RoF system can be traded for the electrical SFDR. By integrating the analogue and the digital RoF systems, a hybrid DAS has been demonstrated, showing that the EVM dynamic range for the 4G LTE service (using digital RoF link) can be improved to be similar to the 3G UMTS service (using analogue RoF link), so that fewer number of RAUs for the LTE services are needed.
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8

Takele, Berta. "Performance Evaluation of Simple Space-Time Block Coding on MIMO Communication System." Thesis, Växjö University, Växjö University, School of Mathematics and Systems Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-6988.

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Анотація:

This thesis discuss on new technique called space time block coding (especially Alamouti's code) which is used to increase capacity and reliability of data transmission over time varying multi-path fading channel. The over all work of the thesis included in the following four chapters.

In chapter-1 we are going to cover some theoretical part which is useful to understand thesis work and in chapter-2 we will discuss the comparison between simple space time block code (Alamouti's code) and MRRC (Maximum Ratio Receiver Combining) which is receiver diversity and then in chapter-3 we will see the channel capacity & probability error performance for 2x2 Alamouti code over Rayleigh and Rice fading channel .Finally the conclusion and further work included in chapter-4.

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9

Sit, Yoke Leen [Verfasser]. "MIMO OFDM Radar-Communication System with Mutual Interference Cancellation / Yoke Leen Sit." Karlsruhe : KIT Scientific Publishing, 2018. http://d-nb.info/1185986332/34.

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10

Wennström, Mattias. "On MIMO Systems and Adaptive Arrays for Wireless Communication : Analysis and Practical Aspects." Doctoral thesis, Uppsala University, Signals and Systems Group, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-2604.

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Анотація:

This thesis is concerned with the use of multiple antenna elements in wireless communication over frequency non-selective radio channels. Both measurement results and theoretical analysis are presented. New transmit strategies are derived and compared to existing transmit strategies, such as beamforming and space-time block coding (STBC). It is found that the best transmission algorithm is largely dependent on the channel characteristics, such as the number of transmit and receive antennas and the existence of a line of sight component. Rayleigh fading multiple input multiple output (MIMO) channels are studied using an eigenvalue analysis and exact expressions for the bit error rates and outage capacities for beamforming and STBC is found. In general are MIMO fading channels correlated and there exists a mutual coupling between antenna elements. These findings are supported by indoor MIMO measurements. It is found that the mutual coupling can, in some scenarios, increase the outage capacity. An adaptive antenna testbed is used to obtain measurement results for the single input multiple output (SIMO) channel. The results are analyzed and design guidelines are obtained for how a beamformer implemented in hardware shall be constructed. The effects of nonlinear transmit amplifiers in array antennas are also analyzed, and it is shown that an array reduces the effective intermodulation distortion (IMD) transmitted by the array antenna by a spatial filtering of the IMD. A novel frequency allocation algorithm is proposed that reduces IMD even further. The use of a low cost antenna with switchable directional properties, the switched parasitic antenna, is studied in a MIMO context and compared to array techniques. It is found that it has comparable performance, at a fraction of the cost for an array antenna.

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Книги з теми "MIMO COMMUNICATION SYSTEM"

1

1968-, Tsoulos George V., ed. MIMO system technology for wireless communications. Boca Raton [Fla.]: Taylor & Francis, 2006.

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2

Yang, Hong-Chuan. Order statistics in wireless communications: Diversity, adaptation, and scheduling in MIMO and OFDM systems. Cambridge, UK: Cambridge University Press, 2011.

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3

Hong, Peter Y. W. Cooperative Communications and Networking: Technologies and System Design. Boston, MA: Springer Science+Business Media, LLC, 2010.

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4

Duman, Tolga M. Coding for MIMO communication systems. Hoboken, NJ: J. Wiley & Sons, 2007.

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5

Ezio, Biglieri, ed. MIMO wireless communications. Cambridge: Cambridge University Press, 2007.

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6

VLSI circuits for MIMO communication systems. Konstanz: Hartung-Gorre, 2006.

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7

Kaiser, Thomas. Ultra wideband systems with MIMO. Chichester, West Sussex, U.K: Wiley, 2010.

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8

MIMO signals and systems. New York: Springer, 2005.

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9

B, Gershman Alex, and Sidiropoulos N. D, eds. Space-time processing for MIMO communications. Chichester: John Wiley, 2005.

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10

MIMO: From theory to implementation. Burlington, MA: Academic Press, 2010.

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Більше джерел

Частини книг з теми "MIMO COMMUNICATION SYSTEM"

1

Speidel, Joachim. "MIMO System Decomposition into Eigenmodes." In Signals and Communication Technology, 203–7. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00548-1_20.

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2

Speidel, Joachim. "MIMO System Decomposition into Eigenmodes." In Signals and Communication Technology, 239–43. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67357-4_16.

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3

Huang, Howard, Constantinos B. Papadias, and Sivarama Venkatesan. "Cellular Networks: System Model and Methodology." In MIMO Communication for Cellular Networks, 159–226. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-77523-4_5.

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4

Manoharan, Sangeetha, Niharika Saraff, Akanksha Kedia, and Kasturi Laxmi Saroja. "NR-DCSK-Based MIMO Chaotic Communication System." In Wireless Communication Networks and Internet of Things, 207–15. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8663-2_22.

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5

Nishu Baliyan, Manish Verma, and Adesh Kumar. "Channel Capacity in MIMO OFDM System." In Proceeding of International Conference on Intelligent Communication, Control and Devices, 1113–20. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1708-7_132.

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6

Saraswat, Shelesh Krishna. "Antenna Selection in Cognitive Radio for MIMO System." In Futuristic Communication and Network Technologies, 793–804. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4625-6_79.

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7

Al Fatli, Haitham, Khairun Nidzam Ramli, and Elfarizanis Baharudin. "Comparison Energy Efficiency and Spectral Efficiency in Beamspace MIMO and Beamspace MIMO-NOMA System Model." In Futuristic Communication and Network Technologies, 123–36. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9748-8_11.

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8

Singh, Ankita, Saurabh M. Patel, and Kirit Kumar R. Bhatt. "Improvement in Massive MIMO System Performance Through Caching Technique." In Sustainable Communication Networks and Application, 704–10. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34515-0_74.

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9

Kamal Hassan, Ahmad, Muhammad Moinuddin, Abdulrahman U. Alsaggaf, and Ubaid M. Al-Saggaf. "Beamforming in Massive MIMO Communications for 5G Technology." In 5G Wireless Communication System in Healthcare Informatics, 21–28. New York: CRC Press, 2023. http://dx.doi.org/10.1201/9781003368311-3.

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10

You, Xiaohu, Dongming Wang, and Jiangzhou Wang. "Cell Edge Effect and Its Elimination with a Cell-Free System." In Distributed MIMO and Cell-Free Mobile Communication, 71–87. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9845-6_4.

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Тези доповідей конференцій з теми "MIMO COMMUNICATION SYSTEM"

1

Sliti, Maha. "MIMO Visible Light Communication System." In 2022 27th Asia Pacific Conference on Communications (APCC). IEEE, 2022. http://dx.doi.org/10.1109/apcc55198.2022.9943591.

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2

Yoon, Sung-Wook, Jun-Hyun Lee, and Heung-Gyoon Ryu. "Chaos communication system using MIMO technique." In 2014 16th International Conference on Advanced Communication Technology (ICACT). Global IT Research Institute (GIRI), 2014. http://dx.doi.org/10.1109/icact.2014.6779026.

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3

Tetsuki Taniguchi, Jun-Ichi Kitagawa, and Yoshio Karasawa. "Wireless baseband transmission MIMO communication system." In 2008 4th European Conference on Circuits and Systems for Communications (ECCSC. IEEE, 2008. http://dx.doi.org/10.1109/eccsc.2008.4611688.

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4

Ren, Qinghua, Yi Zhang, and Zhenyong Chu. "Mitigating Interference for MIMO Communication System." In 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2011. http://dx.doi.org/10.1109/cyberc.2011.89.

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5

Shandan, Wu, An Peng, Li Chao, and Yao Mingwu. "Full-Duplex MIMO Wireless Communication System." In 2014 IEEE International Conference on Computer and Information Technology (CIT). IEEE, 2014. http://dx.doi.org/10.1109/cit.2014.153.

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6

Winzer, P. J., and G. J. Foschini. "Optical MIMO-SDM System Capacities." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2014. http://dx.doi.org/10.1364/ofc.2014.th1j.1.

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7

Yan, Qin, Lingang Yu, Xiaoxiao Shu, Dongwen Wu, Junjian Zhu, and Gaopeng Yan. "A Robust MIMO Power Line Communication System." In 2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT). IEEE, 2020. http://dx.doi.org/10.1109/iccasit50869.2020.9368547.

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8

Muhammad Kamran Asif, Owais Baig, Khan Zeb, Muhammad Awais, and Muhammad Ali Danish. "Performance analysis of MIMO-OFDM communication system." In 2014 Fourth International Conference on Innovative Computing Technology (INTECH). IEEE, 2014. http://dx.doi.org/10.1109/intech.2014.6927756.

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9

Taqwa, A., S. Soegijoko, Sugihartono, and S. Tjondronegoro. "Precoding matrices for wireless MIMO communication system." In the 7th International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1821748.1821800.

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10

Kapula, Prabhakara Rao, Anil Kumar Bandani, Anupama Bollampally, Pulugujju Rajesh, Pangolla Sravani, and Sanjay Dubey. "Error Performance of MIMO-OFDM Communication System." In 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2022. http://dx.doi.org/10.1109/icoei53556.2022.9777161.

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