It is known that the capacity of the intelligent reflecting surface (IRS) aided cellular network can be effectively improved by reflecting the incident signals from the transmitter in a low-cost passive reflecting way. Nevertheless, in the actual network operation, the base station (BS) and IRS may belong to different operators, consequently, the IRS is reluctant to help the BS without any payment. Therefore, this paper investigates price-based reflection resource (elements) allocation strategies for an IRS-aided multiuser multiple-input and single-output (MISO) downlink communication systems, in which all transmissions over the same frequency band. Assuming that the IRS is composed with multiple modules, each of which is attached with a smart controller, thus, the states (active/idle) of module can be operated by its controller, and all controllers can be communicated with each other via fiber links. A Stackelberg game-based alternating direction method of multipliers (ADMM) is proposed to jointly optimize the transmit beamforming at the BS and the passive beamforming of the active modules. Numerical examples are presented to verify the proposed algorithm. It is shown that the proposed scheme is effective in the utilities of both the BS and IRS.
@article{arxiv.2012.08989,
title = {A Stackelberg Game Approach to Resource Allocation for IRS-aided Communications},
author = {Yulan Gao and Chao Yong and Zehui Xiong and Dusit Niyato and Yue Xiao and Jun Zhao},
journal= {arXiv preprint arXiv:2012.08989},
year = {2020}
}
Comments
Published in IEEE Global Communications Conference (GLOBECOM) 2020. arXiv admin note: substantial text overlap with arXiv:2003.06640