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The MU-MIMO technique has played the most important role in 5G wireless communication. It is anticipated that the new techniques employed in MU MIMO will not only improve peak service data rates significantly but also enhance capacity, coverage, low-latency, efficiency flexibility, compatibility and convergence, thus meeting the focusing demands imposed by optical detection. This paper presents the optimal detection of data symbols in MU-MIMO for 5G wireless communication. Based on the frequency non-selective fading MIMO channel, we consider three difference detectors for recovering the transmitted data symbols and evaluate their performance for Rayleigh fading and additive white Gaussian noise (AWGN). At the results, we show that the probability of error rate (PER) performance of the detectors is significantly discussed. In the paper, an overview of MU MIMO systems in wireless communication which is the breakthrough in wireless communication technology nowadays is presented. MIMO systems are used to improve the noise and interference performances of a channel. In the paper, MIMO systems are used to expand channel capacity and BER are also highlighted. The discussion then proceeds further towards the limitations and advancements in this technology. In the modern scenario, MU MIMO includes the merger of OFDM with MIMO. By the use of MIMO-OFDM, very high data rates are achieved. Maximum Likelihood MU multiple-input multiple-output (MIMO) systems utilize hybrid beamforming techniques to alleviate the implementation complexity of combining a large number of antennas. this work proposed a hybrid processing algorithm via matrix decomposition for Maximum Likelihood MU MU-MIMO systems. Both inter-user interference (IUI) and inter-stream interference (ISI) within the user are taken into consideration.
Keywords:
MU MIMO; optimal detector; Rayleigh fading channel; PER; 5G wireless communication
Cite Article:
"Multi User-MIMO in OFDM for 5G communication: A Review", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.6, Issue 10, page no.9 - 12, October-2021, Available :http://www.ijrti.org/papers/IJRTI2110002.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator