Hybrid beamforming design with finite-resolution phase-shifters for frequency selective massive MIMO channels

Araújo, Daniel C.; Karipidis, Eleftherios; Almeida, André L. F. de; Mota, J.C.M.

doi:10.1109/icassp.2017.7953408

Cited by 7 publications

(13 citation statements)

References 9 publications

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“…The precoder (18) does not fulfill the constant amplitude constraint of analog beamformers. However, it is possible to implement such a precoder by combining two RF chains for each MS stream, as discussed in [28]. According to [28], this approach achieves the same performance of digital precoding with the requirement that the number of RF chains should be twice the number of spatial streams.…”

Section: Hybrid Beamforming and Data Ratementioning

confidence: 99%

“…However, it is possible to implement such a precoder by combining two RF chains for each MS stream, as discussed in [28]. According to [28], this approach achieves the same performance of digital precoding with the requirement that the number of RF chains should be twice the number of spatial streams. There are other methods, such as those presented in [28] that enable the use of one RF chain per stream up to a negligible performance loss.…”

Section: Hybrid Beamforming and Data Ratementioning

confidence: 99%

“…According to [28], this approach achieves the same performance of digital precoding with the requirement that the number of RF chains should be twice the number of spatial streams. There are other methods, such as those presented in [28] that enable the use of one RF chain per stream up to a negligible performance loss. We choose the simplest approach that consists in constructing the analog beamforming using the phases of each entry in the matrix defined in (18).…”

Section: Hybrid Beamforming and Data Ratementioning

confidence: 99%

“…Note that Φ new g,n ≤ Φ cur since we begin with the maximum rate solution in the unconstrained maximization part of our solution and to satisfy MSs we lose spectral efficiency. The SDMA group and SU chosen in the reallocation part are those that minimize the reallocation metric (28).…”

Section: B Low Complexity Solutionmentioning

confidence: 99%

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A Framework for Radio Resource Allocation and SDMA Grouping in Massive MIMO Systems

et al. 2021

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This work proposes a framework for multiuser massive Multiple Input Multiple Output (MIMO) systems which is composed of three partsclustering, grouping, and scheduling -and aims at maximizing the total system data rate considering Quality of Service (QoS) constraints. We firstly use a clustering algorithm to create clusters of spatially correlated Mobile Stations (MSs). Secondly, in the grouping part, we select a set of Space-Division Multiple Access (SDMA) groups from each cluster. These groups are used as candidate groups to receive Scheduling Unit (SU) in the scheduling part. In order to compose a group, we employ a metric that takes into account the trade-off between the spatial channel correlation and channel gain of MSs. In this context, it is proposed a suboptimal solution to avoid the high complexity required by the optimal solution. Thirdly and finally, we use the candidate SDMA groups from the grouping part to solve the data rate maximization problem considering QoS requirements. The scheduling part can be solved by our proposed optimal solution based on Branch and Bound (BB). However, since it has high computational complexity, we propose a suboptimal scheduling algorithm that presents a reduced complexity. In the simulation results, we evaluate the performance of both optimal and suboptimal solutions, as well as an adaptation of the Joint Satisfaction Maximization (JSM) scheduler to a massive MIMO scenario. Although the suboptimal solution presents a performance loss compared to the optimal one, it is more suitable for practical settings as it is able to obtain a good performance-complexity trade-off. Furthermore, we show that the choice of a suitable trade-off between the spatial channel correlation and channel gain improves the system performance. Finally, for a low number of available SDMA groups, the suboptimal solution presents near optimal outage and a throughput loss of only 10% in comparison to the high-complexity optimal solution while it outperforms the JSM solution in terms of outage and system throughput.

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Section: Hybrid Beamforming and Data Ratementioning

confidence: 99%

Section: Hybrid Beamforming and Data Ratementioning

confidence: 99%

Section: Hybrid Beamforming and Data Ratementioning

confidence: 99%

Section: B Low Complexity Solutionmentioning

confidence: 99%

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A Framework for Radio Resource Allocation and SDMA Grouping in Massive MIMO Systems

et al. 2021

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“…With regard to the feasible application of HB, the PS network design plays an important role in the complete precoder operation because it necessitates accurate components for realising precise PSs [35,36]. The number of PSs in hybrid structure is relative to the number of antennas; consequently, infinite resolution PS assumption may not be reasonable for large antenna array systems [16].…”

Section: Rf Analogue Precodingmentioning

confidence: 99%

Subarray hybrid precoding with finite‐resolution PSs for massive MIMO capacity maximisation

Alarfaj

Liu

2019

IET Communications

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Hybrid precoding codebook design in millimetre‐wave massive MIMO systems with low‐resolution phase shifters

2021

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Millimetre-wave (mmWave) massive multiple-input multiple-output (MIMO) is one of the promising techniques for 5G wireless communications and beyond. Low-resolution hybrid precoding using low-resolution phase shifters (PSs) is considered to be promising for mmWave massive MIMO, since it can realize an acceptable performance with significantly reduced energy consumption. However, to realize accurate channel state information acquisition, the traditional channel feedback codebooks that quantize the channel with high resolution are not suitable for low-resolution hybrid precoding. To solve this problem, angle-based codebook is proposed here. In the proposed codebook, the analog codebook is designed based on the channel angle-of-departures (AoDs) and the digital codebook is generated by the random vector quantization. Specifically, the analog codewords are optimized by a neighbour search algorithm under the constraint of low-resolution PSs. These analog codewords are designed to be aligned with channel AoDs. In this way, they can remain unchanged in a much larger time scale, since the angle-coherence time is much longer than the channel-coherence time. Therefore, the channel feedback overhead can be significantly reduced. Both theoretical analyses and simulation results illustrate that the proposed codebook can achieve the acceptable achievable rate performance with low channel feedback overhead.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Hybrid beamforming design with finite-resolution phase-shifters for frequency selective massive MIMO channels

Cited by 7 publications

References 9 publications

A Framework for Radio Resource Allocation and SDMA Grouping in Massive MIMO Systems

A Framework for Radio Resource Allocation and SDMA Grouping in Massive MIMO Systems

Subarray hybrid precoding with finite‐resolution PSs for massive MIMO capacity maximisation

Hybrid precoding codebook design in millimetre‐wave massive MIMO systems with low‐resolution phase shifters

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