# Energy Efficiency Optimization of Generalized Spatial Modulation with Sub-Connected Hybrid Precoding

## TL;DR

This paper proposes an energy efficiency optimization method for mm-Wave massive MIMO systems using generalized spatial modulation and sub-connected hybrid precoding, significantly reducing power consumption and outperforming traditional schemes.

## Contribution

It introduces a novel EE optimization approach combining GSM and sub-connected HP, considering computation power, with demonstrated superior performance.

## Key findings

- GSM-HP scheme outperforms full digital precoding in EE.
- 88% computation power savings with GSM-HP.
- Enhanced EE in mm-Wave massive MIMO systems.

## Abstract

Energy efficiency (EE) optimization of millimeter wave (mm-Wave) massive multiple-input multiple-output (MIMO) systems is emerging as an important challenge for the fifth generation (5G) mobile communication systems. However, the power of radio frequency (RF) chains increases sharply due to the high carrier frequency in mm-Wave massive MIMO systems. To overcome this issue, a new energy efficiency optimization solution is proposed based on the structure of the generalized spatial modulation (GSM) and sub-connected hybrid precoding (HP). Moreover, the computation power of mm-Wave massive MIMO systems is considered for optimizing the EE. Simulation results indicate that the EE of the GSM-HP scheme outperforms the full digital precoding (FDP) scheme in the mm-Wave massive MIMO scene, and 88\% computation power can be saved by the proposed GSM-HP scheme.