2020/05/29 by Ngoc-Tan Nguyen, Diep N. Nguyen, Nguyen, Ngoc-Tan +11
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Age of Information Optimization #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #FOS: Electrical engineering #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2005.14573
openalex publication_date 2020/05/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Future IoT networks consist of heterogeneous types of IoT devices (with\nvarious communication types and energy constraints) which are assumed to belong\nto an IoT service provider (ISP). To power backscattering-based and\nwireless-powered devices, the ISP has to contract with an energy service\nprovider (ESP). This article studies the strategic interactions between the ISP\nand its ESP and their implications on the joint optimal time scheduling and\nenergy trading for heterogeneous devices. To that end, we propose an economic\nframework using the Stackelberg game to maximize the network throughput and\nenergy efficiency of both the ISP and ESP. Specifically, the ISP leads the game\nby sending its optimal service time and energy price request (that maximizes\nits profit) to the ESP. The ESP then optimizes and supplies the transmission\npower which satisfies the ISP's request (while maximizing ESP's utility). To\nobtain the Stackelberg equilibrium (SE), we apply a backward induction\ntechnique which first derives a closed-form solution for the ESP. Then, to\ntackle the non-convex optimization problem for the ISP, we leverage the block\ncoordinate descent and convex-concave procedure techniques to design two\npartitioning schemes (i.e., partial adjustment (PA) and joint adjustment (JA))\nto find the optimal energy price and service time that constitute local SEs.\nNumerical results reveal that by jointly optimizing the energy trading and the\ntime allocation for heterogeneous IoT devices, one can achieve significant\nimprovements in terms of the ISP's profit compared with those of conventional\ntransmission methods. Different tradeoffs between the ESP's and ISP's profits\nand complexities of the PA/JA schemes can also be numerically tuned.\nSimulations also show that the obtained local SEs approach the socially optimal\nwelfare when the ISP's benefit per transmitted bit is higher than a given\nthreshold.\n