Non-cooperative Feedback Rate Control Game for Channel State Information in Wireless Networks
Lingyang Song, Zhu Han, Zhongshan Zhang, and Bingli Jiao

TL;DR
This paper models CSI feedback rate control in wireless networks as a non-cooperative game, proposing a pricing mechanism to align individual incentives with social optimality, and demonstrating near-optimal performance through simulations.
Contribution
It introduces a game-theoretic framework for CSI feedback control with pricing, analyzing Nash equilibria and comparing protocols, which is novel in this context.
Findings
Nash equilibrium exists for the proposed games.
Pricing can align individual incentives with social optimality.
Distributed NFCP achieves near-centralized optimal performance.
Abstract
It has been well recognized that channel state information (CSI) feedback is of great importance for dowlink transmissions of closed-loop wireless networks. However, the existing work typically researched the CSI feedback problem for each individual mobile station (MS), and thus, cannot efficiently model the interactions among self-interested mobile users in the network level. To this end, in this paper, we propose an alternative approach to investigate the CSI feedback rate control problem in the analytical setting of a game theoretic framework, in which a multiple-antenna base station (BS) communicates with a number of co-channel MSs through linear precoder. Specifically, we first present a non-cooperative feedback-rate control game (NFC), in which each MS selects the feedback rate to maximize its performance in a distributed way. To improve efficiency from a social optimum point of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
