New Hybrid Architecture for Energy Efficient and Low Complex Massive MIMO System

被引:1
作者
Sheikh, Javaid A. [1 ]
Mustafa, Farhana [1 ]
Sidiq, Sumina [1 ]
机构
[1] Univ Kashmir, Dept Elect & Instrumentat Technol, Srinagar, Kashmir, India
关键词
Additive white Gaussian noise (AWGN); Channel state information (CSI); Energy efficiency (EE); LSAS; Massive MIMO; Minimum mean square error estimator (MMSE); RF chains; Zero forcing (ZF); DESIGN;
D O I
10.1007/s13369-021-06069-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Massive MIMO is an important framework of 5G and the Internet of Things (IoT). Signals radiated from a 5G antenna share the complex architecture. A system is therefore needed that can minimize complexity and provides good spectral efficiency and throughput. This is achieved by reducing RF chains which is an important constraint in an energy-efficient 5G system. In this paper, a new semi-orthogonal-based scheme is proposed to formulate SINR which maximizes throughput when RF chains are combined without increasing computational complexity, and also the focus is laid on the improvement of the sum data rate of the system. More importantly, the optimization algorithm has been implemented and used to model the massive MIMO as a tool for an energy-efficient system.
引用
收藏
页码:3141 / 3149
页数:9
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