Rate Maximization for Partially Connected Hybrid Beamforming in Single-User MIMO Systems

Majidzadeh, Mohammad; Kaleva, Jarkko; Tervo, Nuutti; Pennaner, Harri; Tölli, Antti

doi:10.1109/spawc.2018.8445883

Cited by 10 publications

(7 citation statements)

References 16 publications

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“…Compared to the digital part, optimization of the analog stage is more challenging as it must obey the unit-modulus constraint. Recently, new transceivers have started to emerge, which with the aid of amplitude modulators (AMs), also allow amplitude control for the analog stage [34], [52], [53]. Such transceivers alleviate the unit-modulus constraint but require additional hardware.…”

Section: B Main Contributionsmentioning

confidence: 99%

Practical Hybrid Beamforming for Millimeter Wave Massive MIMO Full Duplex With Limited Dynamic Range

Sheemar

Thomas²,

Slock

2022

IEEE Open J. Commun. Soc.

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Full Duplex (FD) radio has emerged as a promising solution to increase the data rates by up to a factor of two via simultaneous transmission and reception in the same frequency band. This paper studies a novel hybrid beamforming (HYBF) design to maximize the weighted sum-rate (WSR) in a single-cell millimeter wave (mmWave) massive multiple-input-multiple-output (mMIMO) FD system. Motivated by practical considerations, we assume that the multi-antenna users and hybrid FD base station (BS) suffer from the limited dynamic range (LDR) noise due to non-ideal hardware and an impairment aware HYBF approach is adopted by integrating the traditional LDR noise model in the mmWave band. In contrast to the conventional HYBF schemes, our design also considers the joint sum-power and the practical per-antenna power constraints. A novel interference, self-interference (SI) and LDR noise aware optimal power allocation scheme for the uplink (UL) users and FD BS is also presented to satisfy the joint constraints. The maximum achievable gain of a multi-user mmWave FD system over a fully digital half duplex (HD) system with different LDR noise levels and numbers of the radio-frequency (RF) chains is investigated. Simulation results show that our design outperforms the HD system with only a few RF chains at any LDR noise level. The advantage of having amplitude control at the analog stage is also examined, and additional gain for the mmWave FD system becomes evident when the number of RF chains at the hybrid FD BS is small.

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Section: B Main Contributionsmentioning

confidence: 99%

Practical Hybrid Beamforming for Millimeter Wave Massive MIMO Full Duplex With Limited Dynamic Range

Sheemar

Thomas²,

Slock

2022

IEEE Open J. Commun. Soc.

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“…Traditionally, the analog domain processing consisted only of the unit amplitude phase-shifters. However, recently new transceivers have started to emerge which also allow amplitude manipulation (denoted as amplitude tapering in the antenna theory literature) in the analog domain for the base station consisting of large number of antenna, with the aid of amplitude modulators (AMs) [44], [45]. The only reference on FD communication to consider amplitude control for HYBF design is [30].…”

Section: A State-of-the-art On Mmwave Fdmentioning

confidence: 99%

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

Sheemar¹,

Thomas²,

Slock³

2021

Preprint

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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>

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“…Pre-coding for fully connected sub arrays is considered in [ 37 ]. Authors in [ 38 ] has achieved rate maximization by performing the pre-coding and beamforming for a single user massive MIMO system with a partially connected hybrid structure. Both the pre-coder and beamformer is designed using alternating minimization technique.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Algorithm Based Capacity Maximization of 5G/B5G Hybrid Pre-Coding Systems

Khalid

Abbas

Kim

et al. 2020

Sensors

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Hybrid pre-coding strategies are considered as a potential solution for combating path loss experienced by Massive MIMO systems operating at millimeter wave frequencies. The partially connected structure is preferred over the fully connected structure due to smaller computational complexity. In order to improve the spectral efficiency of a partially connected hybrid pre-coding architecture, which is one of the requirements of future 5G/B5G systems, this work proposes the application of evolutionary algorithms for joint computation of RF and the digital pre-coder. The evolutionary algorithm based scheme jointly evaluates the RF and digital pre-coder for a partially connected hybrid structure by taking into account the current RF chain for computations and therefore it is not based on interference cancellation from all other RF chains as in the case of successive interference cancellation (SIC). The evolutionary algorithm, i.e., Artificial Bee Colony (BEE) based pre-coding scheme outperforms other popular evolutionary algorithms as well as the SIC based pre-coding scheme in terms of spectral efficiency. In addition, the proposed algorithm is not overly sensitive to variations in channel conditions.

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Rate Maximization for Partially Connected Hybrid Beamforming in Single-User MIMO Systems

Cited by 10 publications

References 16 publications

Practical Hybrid Beamforming for Millimeter Wave Massive MIMO Full Duplex With Limited Dynamic Range

Practical Hybrid Beamforming for Millimeter Wave Massive MIMO Full Duplex With Limited Dynamic Range

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

Evolutionary Algorithm Based Capacity Maximization of 5G/B5G Hybrid Pre-Coding Systems

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