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User Assignment Algorithm for Energy Efficient Multiple Access Scheme of MIMO-OFDMA Systems

Shivkanya. D. Jadhav , V. M. Harnal , , ,
M. B. E. Society’s College Of Engineering Ambajogai ,Ambajogai, India
:10.22362/ijcert/2017/v4/i11/xxxx [UNDER PROCESS]

Energy Efficiency (EE) is the important issue for multi-user Multiple-Input Multiple-Output - Orthogonal Frequency-Division Multiple Access (MIMO - OFDMA) system. In this paper, the Energy-efficient Multiple Access (EMA) schemes are proposed to improve EE by selecting either Time-Division Multiple Access (TDMA) or Space-Division Multiple Access (SDMA) for each subband, based on the number of users and power consumption. The polynomial-complex and greedy-based user assignment algorithms for the EMA system are adapted to Maximize energy efficiency. System complexity and energy efficiency are compared. Simulation Results verified that the EE of Greedy (GUSA) algorithms could significantly improve energy efficiency with practically compare to Fine EMA algorithm with increasing complexity.

Shivkanya. D. Jadhav and V. M. Harnal (2017). User Assignment Algorithm for Energy Efficient Multiple Access Scheme of MIMO-OFDMA Systems. International Journal of Computer Engineering In Research Trends, 4(11), 469-477. Retrieved from

Keywords : Energy efficiency (EE), channel access method, multiple access methods, time-division multiple access (TDMA), space-division multiple access (SDMA), orthogonal frequency-division multiple access (OFDMA), EMA, user assignment, greedy algorithm

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[7] D. W. K. Ng, E. S. Lo, and R. Schober,“Energy-   Efficient Resource Allocation in OFDMA Systems With Large Numbers of Base Station Antennas,” IEEE Trans Wireless Commun,vol.11, no.9, pp.3292– 3304,Sep.2012 .     

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[10]   D. Liu et al., “User association in 5G networks: A survey  and an outlook,” IEEE Commun. Surveys ,  vol. 18,  no.2, pp. 1018–1044, 2nd Quart., 2016.

[11]  Dukka Venkataramana, Chiranjeevulu Bagathi, ” Energy Efficient Multiple Access Scheme for Multi-User System with Improved Gain ”,  International Journal of Computer Engineering In Research Trends, Volume 2, Issue 11, November-2015, pp. 739-743

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