JISE


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Journal of Information Science and Engineering, Vol. 37 No. 4, pp. 917-933


Spectrum Allocation for Sum Rate Maximization in UAV-to-UAV Communication Underlaid Cellular Networks


XUEMEI SHAO1, SHENGHUI ZHAO1, GUILIN CHEN1,
SHIKAI SHEN2,+ AND BIN YANG2
1School of Computer and Information Engineering
Chuzhou University
Chuzhou, 239000 P.R. China

2School of Information and Technology
Kunming University
Kunming, 650000 P.R. China
E-mail: {fsxm; zsh; glcheng}@chzu.edu.cn; ybcup@126.com; kmssk2000@sina.com


This paper explores the sum rate performance by optimizing spectrum allocation in an unmanned aerial vehicle (UAV)-to-UAV communication underlaid cellular network consisting of a BS and a UAV swarm. Each transmitting UAV selects to communicate with the BS or its nearest UAV according to a received signal strength (RSS)-based mode selection scheme. With the mode selection scheme, if the RSS at the BS is greater than a threshold 'theta', it will select cellular communication mode with the BS; otherwise, it will select UAV-to-UAV communication mode with its nearest UAV. Our mode selection scheme is general in the sense that it can cover the following networks as special cases: cellular networks when 'theta' = 0, and ad hoc networks when 'theta'' = +œ. We utilize the coalition formation game theory to model the sum rate maximization problem. To this end, we first formulate the sum rate maximization as a non-linear and non-convex optimization problem, which is generally difficult to solve. Then, we propose a coalition formation algorithm to solve the optimization problem by optimizing the spectrum allocation among UAV-to-UAV links. The algorithm is further proved to converge to a Nash-stable equilibrium. Finally, simulation results are provided to indicate the impact of critical system parameters on the sum rate performance.


Keywords: UAV-to-UAV communication, cellular networks, sum rate, spectrum allocation, coalition formation algorithm

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