Title

Relay hybrid precoding in UAV-assisted wideband millimeter-wave massive MIMO system

Document Type

Journal Article

Publication Title

IEEE Transactions on Wireless Communications

Publisher

IEEE

School

School of Engineering

RAS ID

44310

Funders

Natural Science Foundation of China The China National Key R&D Program Scientific Research Common Program of Beijing Municipal Commission of Education Chinese Postdoctoral Science Foundation

Comments

Mir, T., Waqas, M., Tu, S., Fang, C., Ni, W., Mackenzie, R., . . . Han, Z. (2022). Relay hybrid precoding in UAV-assisted wideband millimeter-wave massive MIMO system. IEEE Transactions on Wireless Communications. Advance online publication. https://doi.org/10.1109/TWC.2022.3154290

Abstract

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) offers a promising technique to fulfil the high data demand and connectivity of the Internet-of-Things (IoT) and 5G communications because it owns valuable and unknown spectrum resources. Using massive antennas with recently introduced drone-enabled aerial computing platforms, named unmanned aerial vehicles (UAVs), can cast high energy consumption if fully-digital precoding is employed at the UAVs. Using hybrid precoding at a UAV can reduce hardware complexity and energy consumption but is challenging with a need for joint optimization of three precoding matrices at the UAV (sixth-order polynomial objective function). In this paper, we propose to decompose the original UAV hybrid precoding challenge into three subproblems and develop a coordinated descent optimization (CDO) algorithm to solve the three problems recursively. In addition, the convergence and complexity of this new technique are analyzed. Numerical studies indicate the improved effectiveness of the proposed solution over existing solutions.

DOI

10.1109/TWC.2022.3154290

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