Massive MIMO: Achievable Energy Efficiency for 5G systems with Multi-user Environment
Prasad Rayi1, Makkapati Venkata Siva Prasad2
1Prasad Rayi, Department of Engineering and Communication Engineering, ANU/ International School of Technology and Sciences (For Owmen) / Rajamahendravaram, India.
2M.V.S Prasad, Department of Engineering and Communication Engineering, ANU / Rayapati Venkata Rangarao & Jagarlamudi Chandramouli College of Engineering / Guntur, India.
Manuscript received on 20 March 2019 | Revised Manuscript received on 25 March 2019 | Manuscript published on 30 July 2019 | PP: 6527-6534 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3576078219/2019©BEIESP | DOI: 10.35940/ijrte.B3576.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Massive Multi-Input and Multi-Output (MIMO) antenna system potentially provides a promising solution to improve energy efficiency (EE) for 5G wireless systems. The aim of this paper is to enhance EE and its limiting factors are explored. The maximum EE of 48 Mbit/Joule was achieved with 15 user terminal (UT)s. This problem is related to the uplink spectral efficiency with upper bound for future wireless networks. The maximal EE is obtained by optimizing a number of base station (BS) antennas, pilot reuse factor, and BSs density. We presented a power consumption model by deriving Shannon capacity calculations with closed-form expressions. The simulation result highlights the EE maximization with optimizing variables of circuit power consumption, hardware impairments, and path-loss exponent. Small cells achieve high EE and saturate to a constant value with BSs density. The MRC scheme achieves maximum EE of 36 Mbit/Joule with 12 UTs. The simulation results show that peak EE is obtained by deploying massive BS antennas, where the interference and pilot contamination are mitigated by coherent processing. The simulation results were implemented by using MATLAB 2018b.
Index Terms: Base Station, Channel State Information. Energy Efficiency, Multi Input and Multi Output, Spectral Efficiency,
Scope of the Article: MIMO Antenna