Stackelberg Game for Wireless Powered and Backscattering Enabled Sensor Networks  

作　　者：Lyu Bin Cao Yi Wang Shuai Guo Haiyan Hao Chengyao 

机构地区：[1]Key Laboratory of Ministry of Education in Broadband Wireless Communication and Sensor Network Technology,Nanjing University of Posts and Telecommunications,Nanjing 210003,China [2]Jiangsu Engineering Research Center of Novel Optical Fiber Technology and Communication Network,Suzhou 215006,China [3]Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems,Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,China

出　　处：《China Communications》2024年第3期189-204,共16页中国通信（英文版）

基　　金：supported by National Natural Science Foundation of China(No.61901229 and No.62071242);the Project of Jiangsu Engineering Research Center of Novel Optical Fiber Technology and Communication Network(No.SDGC2234);the Open Research Project of Jiangsu Provincial Key Laboratory of Photonic and Electronic Materials Sciences and Technology(No.NJUZDS2022-008);the Post-Doctoral Research Supporting Program of Jiangsu Province(No.SBH20).

摘　　要：This paper investigates a wireless powered and backscattering enabled sensor network based on the non-linear energy harvesting model, where the power beacon(PB) delivers energy signals to wireless sensors to enable their passive backscattering and active transmission to the access point(AP). We propose an efficient time scheduling scheme for network performance enhancement, based on which each sensor can always harvest energy from the PB over the entire block except its time slots allocated for passive and active information delivery. Considering the PB and wireless sensors are from two selfish service providers, we use the Stackelberg game to model the energy interaction among them. To address the non-convexity of the leader-level problem, we propose to decompose the original problem into two subproblems and solve them iteratively in an alternating manner. Specifically, the successive convex approximation, semi-definite relaxation(SDR) and variable substitution techniques are applied to find a nearoptimal solution. To evaluate the performance loss caused by the interaction between two providers, we further investigate the social welfare maximization problem. Numerical results demonstrate that compared to the benchmark schemes, the proposed scheme can achieve up to 35.4% and 38.7% utility gain for the leader and the follower, respectively.

关 键 词：backscatter communication energy interaction stackelberg game wireless powered sensor network 

分 类 号：TN929.5[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程]