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The next generation of wireless data networks, or 5G, must address not only future capacity constraints but also existing challenges such as network reliability, coverage, energy efficiency and latency with current communication systems. Massive MIMO offers significant gains in wireless data rates and link reliability. It allows for data consumption from more users in a dense area without consuming any more radio spectrum or causing interference. This result in fewer dropped calls, a significant decrease in dead zones, and better quality data transmission, without spreading thin the increasingly scarce radio spectrum. Cooperative massive MIMO can achieve a more uniform data rate among all users, improving the system performance for cell edge users. This paper considers a massive MIMO wireless cellular system with L cells denoted as 1,2, … , L respectively. Each cell consists of one base station with M antennas and K users equipped with only one antenna for reduced complexity. In this paper, we assume users use orthogonal pilot resources to acquire the Channel State Information [CSI]. In this paper, system level simulation performance of Noncooperative and cooperative massive MIMO systems for downlink performance is presented based upon current LTE systems considering different numbers of antennas deployed in the base station. It is shown that through cooperation among base stations, system performance of cell edge users can be significantly improved and better signal to noise ratio (SNR), low Bit Error Rate (BER) achieved in Cooperative massive MIMO than Noncooperative. The system simulations presented in this paper provide a view of the potential system performance that can be achieved by cooperative massive MIMO technologies in 5G systems.
Keywords:
Cooperative Massive MIMO, Signal to noise Ratio, cell edge system performance, linear signal processing, multiuser MIMO
Cite Article:
"Novel approach for Cooperative Massive MIMO for 5G Mobile System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 10, page no.76 - 82, October-2018, Available :http://www.ijrti.org/papers/IJRTI1810015.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