Congestion Games on Weighted Directed Graphs, with Applications to Spectrum Sharing

TL;DR

This paper introduces a generalized graphical congestion game model on weighted directed graphs to analyze resource sharing in large-scale networks, especially wireless spectrum sharing, providing insights into equilibrium existence, efficiency, and computational complexity.

Contribution

The paper presents the GCGWE model, unifying previous models and applying it to spectrum sharing, with analysis of equilibrium properties and complexity.

Findings

GCGWE can model complex interference in wireless networks.

Certain GCGWE instances possess pure Nash equilibria.

Finding equilibria can be computationally hard.

Abstract

With the advance of complex large-scale networks, it is becoming increasingly important to understand how selfish and spatially distributed individuals will share network resources without centralized coordinations. In this paper, we introduce the graphical congestion game with weighted edges (GCGWE) as a general theoretical model to study this problem. In GCGWE, we view the players as vertices in a weighted graph. The amount of negative impact (e.g. congestion) caused by two close-by players to each other is determined by the weight of the edge linking them. The GCGWE unifies and significantly generalizes several simpler models considered in the previous literature, and is well suited for modeling a wide range of networking scenarios. One good example is to use the GCGWE to model spectrum sharing in wireless networks, where we can properly define the edge weights and payoff functions to capture the rather complicated interference relationship between wireless nodes. By identifying which GCGWEs possess pure Nash equilibria and the very desirable finite improvement property, we gain insight into when spatially distributed wireless nodes will be able to self-organize into a mutually acceptable resource allocation. We also consider the efficiency of the pure Nash equilibria, and the computational complexity of finding them.