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Generalized Hybrid Beamforming for Vehicular Connectivity using THz Massive MIMO

Busari, S. A. ; Huq, K. ; Mumtaz, S.M. ; Rodriguez, J. ; Fang, Y. ; Sicker, D. ; Al-Rubaye, S. ; Tsourdos, A.

IEEE Transactions on Vehicular Technology Vol. 68, Nº 9, pp. 8372 - 8383, September, 2019.

ISSN (print): 0018-9545
ISSN (online):

Journal Impact Factor: 1,308 (in 2008)

Digital Object Identifier: 10.1109/TVT.2019.2921563

Abstract
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-to-everything (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.