Joint beam and resource allocation in 5G mmWave small cell systems

Zhang, Wenbin, Wei, Yuming, Wu, Shaochuan, Meng, Weixiao, and Xiang, Wei (2019) Joint beam and resource allocation in 5G mmWave small cell systems. IEEE Transactions on Vehicular Technology, 68 (10). pp. 10272-10277.

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Resource allocation in mmWave small cell is a key issue of the fifth generation (5G) systems. To solve this problem, we first present a hybrid beamforming structure for base station of small cell, which consists of orthogonal frequency division multiplexing (OFDM), identity matrix and switched-beam. Next, we formulate the joint allocation of the beam and transmitted power on the sub-carriers into a mixed integer non-linear programming problem (MINLP). Due to the non-convexity of this problem, we decompose it into two subproblems which are the beam selection and the power allocation. For the beam selection, we propose an algorithm based on cooperative games. For the power allocation, we present an optimal and sub-optimal solution based on Lagrange duality and non-cooperative games respectively. Simulation results show that the beam allocation algorithm proposed in this paper can effectively improve the sum rate of the system, and the optimal power allocation solution is far superior to the sub-optimal one in sum rate.

Item ID: 61295
Item Type: Article (Research - C1)
ISSN: 1939-9359
Keywords: Resource management, OFDM, Games, Clustering algorithms, Switches, Array signal processing, 5G mobile communication, Hybrid beamforming, switched-beam, Lagrange duality, non-cooperative games, cooperative games
Copyright Information: © 2019 IEEE.
Funders: National Natural Science Foundation of China (NNSFC)
Date Deposited: 01 Jan 2020 07:44
FoR Codes: 40 ENGINEERING > 4006 Communications engineering > 400608 Wireless communication systems and technologies (incl. microwave and millimetrewave) @ 100%
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