Combined Base Station Association and Power Control in Multi-channel Cellular Networks
Chandramani Singh, Anurag Kumar, Rajesh Sundaresan

TL;DR
This paper investigates a combined approach for base station association and power control in multi-channel cellular networks, proposing distributed algorithms and pricing mechanisms to improve system efficiency.
Contribution
It introduces a distributed algorithm for joint base station association and power control, and proposes pricing mechanisms to enhance system optimality.
Findings
Algorithms converge to Nash equilibria
Equilibria are not always system optimal
Pricing mechanisms can improve efficiency
Abstract
A combined base station association and power control problem is studied for the uplink of multichannel multicell cellular networks, in which each channel is used by exactly one cell (i.e., base station). A distributed association and power update algorithm is proposed and shown to converge to a Nash equilibrium of a noncooperative game. We consider network models with discrete mobiles (yielding an atomic congestion game), as well as a continuum of mobiles (yielding a population game). We find that the equilibria need not be Pareto efficient, nor need they be system optimal. To address the lack of system optimality, we propose pricing mechanisms. It is shown that these mechanisms can be implemented in a distributed fashion.
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.
Taxonomy
TopicsCooperative Communication and Network Coding · Advanced MIMO Systems Optimization · Wireless Communication Networks Research
