Multiuser hybrid phase-only analog/digital beamforming with genetic algorithm

Hong, Cuiyun; Wei, Zaixue; Geng, Junping

doi:10.1109/pimrc.2014.7136220

Cited by 4 publications

(8 citation statements)

References 13 publications

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“…In this section, we present the numerical results of the proposed algorithms in the multi-user MIMO systems. We consider two baseline schemes, GA in [23] and the optimal fully-digital beamformer W FD (optimal FD) in [25]. For GA, the population size and the evolution generation are set to 100 and 20, respectively.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Thus, most of the previous works on optimal fully-connected beamforming design, such as [19], cannot be extended to address Problem P Ori . In [23], the authors proposed GA to obtain a feasible point of Problem P Ori with high computational complexity. In the following, we shall directly solve Problem P Ori and seek low-complexity algorithms.…”

Section: System Modelmentioning

confidence: 99%

“…In this subsection, we show the performance evaluation of the proposed algorithms and compare them with the existing GA in [23] and the optimal FD in [25]. Note that Algorithm 1 directly solves Problem P Ori under individual SINR constraints and unit-modulus constraints, which will improve the power consumption compared with existing methods.…”

Section: B Performance Evaluationmentioning

confidence: 99%

“…The work [22] simplified the design of analog beamformers by removing the unit-modulus constraints, which, however, is impractical in practical systems. Furthermore, the work [23] proposed a (floating-point) genetic algorithm (GA) to directly handle the unit-modulus constraints and obtain a feasible solution. But it is still a heuristic algorithm and may not be applicable in the largescale array regime due to the high computational complexity.…”

Section: Introductionmentioning

confidence: 99%

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Partially-Connected Hybrid Beamforming for Multi-User Massive MIMO Systems

Zang

Yang

et al. 2020

IEEE Access

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Due to the high power consumption and hardware cost of radio frequency (RF) chains, the conventional fully-digital beamforming will be impractical for large-scale antenna systems (LSAS). To address this issue, hybrid beamforming has been proposed to reduce the number of RF chains. However, the fullyconnected structure assumed in most hybrid beamforming schemes is still cost-intensive. Recently, the partially-connected structure employing notably fewer phase shifters has received considerable attention in both academia and industry. But the design of partially-connected hybrid beamforming has not been fully understood, especially in multiuser systems. In this paper, we directly address the challenging non-convex non-smooth partially-connected hybrid beamforming design problem with individual signal-to-interferenceplus-noise ratio (SINR) constraints and unit-modulus constraints in a multiuser massive multiple-input multiple-output (MIMO) system. An iterative alternating algorithm based on a penalty method is proposed to obtain a stationary point, which inevitably has relatively high computational complexity. Thus, two lowcomplexity algorithms are then proposed by utilizing matrix approximation. Numerical results demonstrate significant performance gains of the proposed algorithms over existing hybrid beamforming algorithms. Moreover, the proposed low-complexity algorithms can achieve near-optimal performance with dramatically reduced computational complexity. INDEX TERMS Massive MIMO, hybrid beamforming, SINR constraints, penalty method, penalty dual decomposition.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: B Performance Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Partially-Connected Hybrid Beamforming for Multi-User Massive MIMO Systems

Zang

Yang

et al. 2020

IEEE Access

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“…To best of our knowledge, very few employments of these algorithms in hybrid analog and digital beamformer were carried out [32][33][34][35][36]. In [34,35] the authors proposed a phase-only hybrid analog and digital beamforming based on GA with the aim of minimizing the transmit power under signal-to-interferenceplus-noise ratio (SINR) constraints. Based on the Particle Swarm Ant Colony Optimization (PSACO) algorithm, in [36] a partial-connected hybrid precoding structure for wideband Massive MIMO systems is proposed in order to realize excellent energy and spectral efficiency.…”

Section: Rf Chainmentioning

confidence: 99%

An Efficient Hybrid Beamforming Design for Massive MIMO Receive Systems via SINR Maximization Based on an Improved Bat Algorithm

et al. 2019

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Hybrid analog and digital (HAD) beamforming has been recently receiving considerable deserved attention for a practical implementation on the large-scale antenna systems. As compared to full digital beamforming, partial-connected HAD beamforming can significantly reduce the hardware cost, complexity, and power consumption. In this paper, in order to mitigate the jamming along with lowering the hardware complexity and cost by reducing the number of RF chains needed, a novel hybrid analog and digital receive beamformer based on an improved bat algorithm (I-BA) and the phaseonly is proposed. Our proposed beamformer is compared with robust adaptive beamformers (RABs) methods proposed by us, which are considered in the digital beamforming part. The evolutionary optimization algorithm is proposed since most of the RAB methods are sensitive to the DOA mismatch, and depending on the complex weights, resulting in an expensive receiver. In the analog part, analog phase alignment by linear searching (APALS) with a sufficiently fine grid of points is employed to optimize the analog beamformer matrix. The performance of the proposed I-BA is revealed using MATLAB simulation and compared with BA, and Particle swarm optimization (PSO) algorithms, which shows a better performance in terms of convergence speed, stability, and the ability to jump from the local minima.

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