Joint Access Point Selection and Power Allocation for Uplink Wireless Networks
Mingyi Hong, Alfredo Garcia, Jorge Barrera, Stephen G. Wilson

TL;DR
This paper introduces a game-theoretic approach for distributed uplink resource allocation in multi-carrier wireless networks, enabling users to jointly select access points and optimize power control to improve network performance.
Contribution
It formulates a novel game combining discrete AP selection and continuous power control, providing equilibrium analysis and efficient algorithms for distributed uplink resource management.
Findings
Algorithms converge to Nash Equilibrium
Enhanced network throughput demonstrated
Robustness of algorithms shown through simulations
Abstract
We consider the distributed uplink resource allocation problem in a multi-carrier wireless network with multiple access points (APs). Each mobile user can optimize its own transmission rate by selecting a suitable AP and by controlling its transmit power. Our objective is to devise suitable algorithms by which mobile users can jointly perform these tasks in a distributed manner. Our approach relies on a game theoretic formulation of the joint power control and AP selection problem. In the proposed game, each user is a player with an associated strategy containing a discrete variable (the AP selection decision) and a continuous vector (the power allocation among multiple channels). We provide characterizations of the Nash Equilibrium of the proposed game, and present a set of novel algorithms that allow the users to efficiently optimize their rates. Finally, we study the properties 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.
