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 under Grant 61801008
China National Key Research and Development Program under Grant 2018YFB0803600
Scientific Research Common Program of Beijing Municipal Commission of Education under Grant KM201910005025
Chinese Postdoctoral Science Foundation under Grant
2020M67007
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
Access Rights
subscription content
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, 21(9), 7040-7054.
https://doi.org/10.1109/TWC.2022.3154290