Energy and Spectral Efficiency Tradeoff for Massive MIMO Systems With Transmit Antenna Selection

Energy and Spectral Efficiency Tradeoff for Massive MIMO Systems With Transmit Antenna Selection

Abstract:

This correspondence investigates the fundamental tradeoff between the spectral efficiency (SE) and energy efficiency (EE) for massive multiple-input multiple-output (MIMO) systems with linear precoding and transmit antenna selection, where both the circuit power consumption and the large-scale fading are considered. The EE and SE are optimized with respect to the number of transmit antennas and transmit power, and consequently, we formulate the EE-SE tradeoff as a mixed-integer-continuous-variable multiobjective optimization (MOO) problem. Using the derived EE-SE relations, the properties of the Pareto front for the EE-SE tradeoff are analyzed. To solve the complicated MOO problem, we develop two algorithms: the weighted-sum particle swarm optimization (WS-PSO) algorithm and the normal-boundary-intersection particle swarm optimization (NBI-PSO) algorithm. Simulation results show that the two algorithms can achieve the Pareto optimal EE-SE tradeoff, and NBI-PSO provides more evenly distributed solutions than WS-PSO.

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