Overlapped Subarray Based Hybrid Beamforming for Millimeter Wave Multiuser Massive MIMO

Song, Nuan; Yang, Tao; Sun, Huan

doi:10.1109/lsp.2017.2681689

Cited by 76 publications

(63 citation statements)

References 25 publications

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“…Focusing on the HBF architecture, different subarray structures can be realized depending on the interconnection among the RF chains, PSs and AEs (i.e., the RF-PS-AE mapping). The three structures that have been proposed in the literature are: (i) the fully-connected structure [7], [11], [14], (ii) the sub-connected structure [11], [13], [14] (also known as the partially-connected or array-of-subarrays [5]) and (iii) the overlapped subarray structure [12], [16]. The performance analyses of these HBF structures have been investigated for diverse scenarios.…”

Section: A Related Workmentioning

confidence: 99%

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Generalized Hybrid Beamforming for Vehicular Connectivity Using THz Massive MIMO

Busari

Huq

Mumtaz

et al. 2019

IEEE Trans. Veh. Technol.

116

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Hybrid beamforming (HBF) array structure has been extensively demonstrated as the practically-feasible architecture for massive MIMO. From the perspectives of spectral efficiency (SE), energy efficiency (EE), cost and hardware complexity, HBF strikes a balanced performance tradeoff when compared to the fully-analog and the fully-digital implementations. Using the HBF architecture, it is possible to realize three different subarray structures, specifically the fully-connected, the sub-connected and the overlapped subarray structures. This paper presents a novel generalized framework for the design and performance analysis of the HBF architecture. A parameter, known as the subarray spacing, is introduced such that varying its value leads to the different subarray configurations and the consequent changes in system performance. Using a realistic power consumption model, we investigate the performance of the generalized HBF array structure in a cellular infrastructure-toeverything (C-I2X) application scenario (involving pedestrian and vehicular users) using the single-path terahertz (THz) channel model. Simulation results are provided for the comparative performance analysis of the different subarray structures. The results show that the overlapped subarray implementation maintains a balanced tradeoff in terms of SE, EE and hardware cost when compared to the popular fully-connected and the sub-connected structures. The overlapped subarray structure, therefore, offers promising potentials for the beyond-5G networks employing THz massive MIMO to deliver ultra-high data rates whilst maintaining a balance in the EE of the network.

show abstract

Section: A Related Workmentioning

confidence: 99%

“…In addition, the fully-connected and the sub-connected array structures have received considerable attention in the literature [5], [8], [11]. However, the investigation of the overlapped array structure is rather very limited [12], [16]. More so, the analyses of the HBF structures are usually done in a disjoint manner.…”

Section: A Related Workmentioning

confidence: 99%

Generalized Hybrid Beamforming for Vehicular Connectivity Using THz Massive MIMO

Busari

Huq

Mumtaz

et al. 2019

IEEE Trans. Veh. Technol.

116

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show abstract

“…, which is signal-to-noise ratio for single antenna case. For the nolinear transceivers, B = B Tx for THP or B = B Rx for DFD in (10)- (12). Based on (12) and (14), the general MSE matrix for nonlinear transceivers can also be written in the following unified formula…”

Section: B Unified Mse Matrix For Different Precoders and Processorsmentioning

confidence: 99%

A Framework on Hybrid MIMO Transceiver Design Based on Matrix-Monotonic Optimization

Xing

Zhao

et al. 2019

IEEE Trans. Signal Process.

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Hybrid transceiver can strike a balance between complexity and performance of multiple-input multiple-output (MIMO) systems. In this paper, we develop a unified framework on hybrid MIMO transceiver design using matrix-monotonic optimization. The proposed framework addresses general hybrid transceiver design, rather than just limiting to certain high frequency bands, such as millimeter wave (mmWave) or terahertz bands or relying on the sparsity of some specific wireless channels. In the proposed framework, analog and digital parts of a transceiver, either linear or nonlinear, are jointly optimized. Based on matrix-monotonic optimization, we demonstrate that the combination of the optimal analog precoders and processors are equivalent to eigenchannel selection for various optimal hybrid MIMO transceivers. From the optimal structure, several effective algorithms are derived to compute the analog transceivers under unit modulus constraints. Furthermore, in order to reduce computation complexity, a simple random algorithm is introduced for analog transceiver optimization. Once the analog part of a transceiver is determined, the closed-form digital part can be obtained. Numerical results verify the advantages of the proposed design. I. INTRODUCTIONS

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“…Massive multiple-input multiple-output (MIMO), also known as large MIMO, has been considered as one of the most promising candidate technologies for future 5G communications due to its ability to achieve high throughput and spectral efficiency and enhance the energy efficiency of sensor networks [1][2][3][4][5]. In a massive MIMO system, the base station (BS) is equipped with an antenna array of hundreds or even thousands of antennas to simultaneously serve tens or hundreds of mobile terminals in the same time-frequency resources [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Performance Optimization for Overloaded MIMO Systems with Virtual Channel Approach

Yang

Zhou

Xia

2018

Wireless Communications and Mobile Computing

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In this letter, we propose a virtual channel (VC) optimization approach with a closed-loop and adaptive scheme for overloaded MIMO systems. With this approach, each input data stream goes through a VC which is generated at the transmitter; then it is transmitted to a receiver through the actual wireless channels. The VCs are concatenated with the actual wireless channels. Through VC optimization, the values of which can be adjusted to reduce the channel correlation, leading to a much improved system performance. Compared to the conventional overloaded MIMO systems, the overloaded MIMO systems with this approach can achieve significantly better performances in terms of the system capacity and symbol error rate (SER). The method that uses genetic algorithm (GA) for finding the optimal VC vector is described. Simulation results illustrate the effectiveness of the proposed approach.

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Overlapped Subarray Based Hybrid Beamforming for Millimeter Wave Multiuser Massive MIMO

Cited by 76 publications

References 25 publications

Generalized Hybrid Beamforming for Vehicular Connectivity Using THz Massive MIMO

Generalized Hybrid Beamforming for Vehicular Connectivity Using THz Massive MIMO

A Framework on Hybrid MIMO Transceiver Design Based on Matrix-Monotonic Optimization

Performance Optimization for Overloaded MIMO Systems with Virtual Channel Approach

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