Robust Linear Hybrid Beamforming Designs Relying on Imperfect CSI in mmWave MIMO IoT Networks

Kunwar Pritiraj Rajput; Priyanka Maity; Suraj Srivastava; Vikas Sharma; Naveen K. D. Venkategowda; Aditya K. Jagannatham; Lajos Hanzo

arXiv · 2212.12917

Robust Linear Hybrid Beamforming Designs Relying on Imperfect CSI in mmWave MIMO IoT Networks

Kunwar Pritiraj Rajput·Priyanka Maity·Suraj Srivastava·Vikas Sharma·Naveen K. D. Venkategowda·Aditya K. Jagannatham·Lajos Hanzo

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Abstract

Linear hybrid beamformer designs are conceived for the decentralized estimation of a vector parameter in a millimeter wave (mmWave) multiple-input multiple-output (MIMO) Internet of Things network (IoTNe). The proposed designs incorporate both total IoTNe and individual IoTNo power constraints, while also eliminating the need for a baseband receiver combiner at the fusion center (FC). To circumvent the non-convexity of the hybrid beamformer design problem, the proposed approach initially determines the minimum mean square error (MMSE) digital transmit precoder (TPC) weights followed by a simultaneous orthogonal matching pursuit (SOMP)-based framework for obtaining the analog RF and digital baseband TPCs. Robust hybrid beamformers are also derived for the realistic imperfect channel state information (CSI) scenario, utilizing both the stochastic and norm-ball CSI uncertainty frameworks. The centralized MMSE bound derived in this work serves as a lower bound for the estimation performance of the proposed hybrid TPC designs. Finally, our simulation results quantify the benefits of the various designs developed.

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Kunwar Pritiraj Rajput, Priyanka Maity, Suraj Srivastava, Vikas Sharma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Lajos Hanzo. 2022-12-25. Robust Linear Hybrid Beamforming Designs Relying on Imperfect CSI in mmWave MIMO IoT Networks. https://arxiv.org/abs/2212.12917

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