scholarly journals Practical Hybrid Beamforming for Millimeter Wave Massive MIMO Full Duplex with Limited Dynamic Range

2021 ◽  
Author(s):  
Chandan Kumar Sheemar ◽  
Christo Kurisummoottil Thomas ◽  
Dirk Slock
Keyword(s):  
Millimeter Wave ◽  
Massive Mimo ◽  
Dynamic Range ◽  
Full Duplex ◽  
Noise Model ◽  
Noise Variance ◽  
Power Constraints ◽  
Half Duplex ◽  
Hybrid Beamforming ◽  
Weighted Sum Rate

Full-Duplex (FD) communication can revolutionize wireless communications as it doubles spectral efficiency and offers numerous other advantages over a half-duplex (HD) system. In this paper, we present a novel and practical joint hybrid beamforming (HYBF) and combining scheme for millimeter-wave (mmWave) massive MIMO FD system for weighted sum-rate (WSR) maximization with multi-antenna HD uplink and downlink users with non-ideal hardware.<br>Moreover, we present a novel interference and self-interference (SI) aware optimal power allocation scheme for the optimal beamforming directions. The analog processing stage is assumed to be quantized, and both the unit-modulus and unconstrained cases are considered.<br>Moreover, compared to the traditional sum-power constraints, the proposed algorithm is designed under the joint sum-power and the practical per-antenna power constraints. To model the non-ideal hardware of a hybrid FD transceiver, we extend the traditional limited dynamic range (LDR) noise model to mmWave. Our HYBF design relies on alternating optimization based on the minorization-maximization method. <br>We investigate the maximum achievable gain of a hybrid FD system with different levels of the LDR noise variance and with different numbers of radio-frequency (RF) chains over a HD system. Simulation results show that the mmWave massive MIMO FD systems can significantly outperform the fully digital HD systems with only a few RF chains if the LDR noise generated from the limited number of RF chains available is low. If the LDR noise variance dominates, FD communication with HYBF results to be disadvantageous than a HD system. <br>

scholarly journals Practical Hybrid Beamforming for Millimeter Wave Massive MIMO Full Duplex with Limited Dynamic Range

2021 ◽  
Author(s):  
Chandan Kumar Sheemar ◽  
Christo Kurisummoottil Thomas ◽  
Dirk Slock
Keyword(s):  
Millimeter Wave ◽  
Massive Mimo ◽  
Dynamic Range ◽  
Full Duplex ◽  
Noise Model ◽  
Noise Variance ◽  
Power Constraints ◽  
Half Duplex ◽  
Hybrid Beamforming ◽  
Weighted Sum Rate

Full-Duplex (FD) communication can revolutionize wireless communications as it doubles spectral efficiency and offers numerous other advantages over a half-duplex (HD) system. In this paper, we present a novel and practical joint hybrid beamforming (HYBF) and combining scheme for millimeter-wave (mmWave) massive MIMO FD system for weighted sum-rate (WSR) maximization with multi-antenna HD uplink and downlink users with non-ideal hardware.<br>Moreover, we present a novel interference and self-interference (SI) aware optimal power allocation scheme for the optimal beamforming directions. The analog processing stage is assumed to be quantized, and both the unit-modulus and unconstrained cases are considered.<br>Moreover, compared to the traditional sum-power constraints, the proposed algorithm is designed under the joint sum-power and the practical per-antenna power constraints. To model the non-ideal hardware of a hybrid FD transceiver, we extend the traditional limited dynamic range (LDR) noise model to mmWave. Our HYBF design relies on alternating optimization based on the minorization-maximization method. <br>We investigate the maximum achievable gain of a hybrid FD system with different levels of the LDR noise variance and with different numbers of radio-frequency (RF) chains over a HD system. Simulation results show that the mmWave massive MIMO FD systems can significantly outperform the fully digital HD systems with only a few RF chains if the LDR noise generated from the limited number of RF chains available is low. If the LDR noise variance dominates, FD communication with HYBF results to be disadvantageous than a HD system. <br>

scholarly journals Per-link Parallel and Distributed Hybrid Beamforming for Multi-Cell Massive MIMO Millimeter Wave Full Duplex

2022 ◽  
Author(s):  
Chandan Kumar Sheemar ◽  
Dirk Slock
Keyword(s):  
Millimeter Wave ◽  
Dynamic Range ◽  
Multiple Input Multiple Output ◽  
Coherence Time ◽  
Network Size ◽  
Base Station ◽  
Full Duplex ◽  
Communication Overhead ◽  
Central Node ◽  
Hybrid Beamforming

This paper presents two novel hybrid beamforming (HYBF) designs for a multi-cell massive multiple-input-multiple-output (mMIMO) millimeter wave (mmWave) full duplex (FD) system under limited dynamic range (LDR). Firstly, we present a novel centralized HYBF (C-HYBF) scheme based on alternating optimization. In general, the complexity of C-HYBF schemes scales quadratically as a function of the number of users and cells, which may limit their scalability. Moreover, they require significant communication overhead to transfer complete channel state information (CSI) to the central node every channel coherence time for optimization. The central node also requires very high computational power to jointly optimize many variables for the uplink (UL) and downlink (DL) users in FD systems. To overcome these drawbacks, we propose a very low-complexity and scalable cooperative per-link parallel and distributed (P$\&$D)-HYBF scheme. It allows each mmWave FD base station (BS) to update the beamformers for its users in a distributed fashion and independently in parallel on different computational processors. The complexity of P$\&$D-HYBF scales only linearly as the network size grows, making it desirable for the next generation of large and dense mmWave FD networks. Simulation results show that both designs significantly outperform the fully digital half duplex (HD) system with only a few radio-frequency (RF) chains and achieve similar performance. <br>

scholarly journals Hybrid Beamforming Designs for Massive MIMO Millimeter-Wave Heterogeneous Systems

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 21806-21817 ◽  
Author(s):  
Daniel Castanheira ◽  
Pedro Lopes ◽  
Adao Silva ◽  
Atilio Gameiro
Keyword(s):  
Millimeter Wave ◽  
Massive Mimo ◽  
Heterogeneous Systems ◽  
Hybrid Beamforming
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