Literature DB >> 31579287

Spectral and Energy Efficiencies of Millimeter Wave MIMO With Configurable Hybrid Precoding.

Zhong Zheng1, Hamid Gharavi2.   

Abstract

Hybrid precoding architectures are widely studied for millimeter wave (mmWave) massive MIMO systems. A major challenge in designing hybrid precoders is the practical constraints on the number of RF chains, which can have a direct impact on the spectral and energy efficiencies of the communication systems. In this paper, we investigate tradeoff between the two performance metrics in both static and mobile communication scenarios via closed-form expressions, when the number of active RF chains can be selected. Based on these expressions, the computational complexity to configure the hybrid precoder is reduced, which can be used to adaptively activate required RF chains for the given MIMO system and channel condition. Numerical results indicate that a certain number of RF chains should be activated in order to maximize energy efficiency at high SNRs, which is generally different from the optimal configuration to maximize spectral efficiency. Further-more, for low SNRs, we have shown that a simple analog beamforming, which uses only a single RF chain, is optimal for both spectral and energy efficiencies. In addition, the proposed mobility-aware hybrid precoding is shown to be capable of effectively achieving beamforming gain between high-speed mobile devices.

Entities:  

Keywords:  Millimeter wave; energy efficiency; hybrid precoding; massive MIMO; random matrix theory

Year:  2019        PMID: 31579287      PMCID: PMC6774367          DOI: 10.1109/TVT.2019.2909829

Source DB:  PubMed          Journal:  IEEE Trans Veh Technol        ISSN: 0018-9545            Impact factor:   5.978


  2 in total

1.  Energy Efficiency Challenges of 5G Small Cell Networks.

Authors:  Xiaohu Ge; Jing Yang; Hamid Gharavi; Yang Sun
Journal:  IEEE Commun Mag       Date:  2017-05-12       Impact factor: 9.619

2.  JOINT OPTIMIZATION OF COMPUTATION AND COMMUNICATION POWER IN MULTI-USER MASSIVE MIMO SYSTEMS.

Authors:  Xiaohu Ge; Yang Sun; Hamid Gharavi; John Thompson
Journal:  IEEE Trans Wirel Commun       Date:  2018       Impact factor: 7.016

  2 in total
  1 in total

1.  Capacity Bounds for Dense Massive MIMO in a Line-of-Sight Propagation Environment.

Authors:  Felipe A P de Figueiredo; Claudio F Dias; Eduardo R de Lima; Gustavo Fraidenraich
Journal:  Sensors (Basel)       Date:  2020-01-17       Impact factor: 3.576

  1 in total

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