Application of game theory for distributed dynamic channel allocation

Abstract

A payoff function used in game theory is derived and a mixed strategy is applied to the fully distributed dynamic channel allocation (DCA) problem for a broadband fixed wireless access (BFWA) network using packet reservation multiple access (PRMA). DCA using least interfered (LI) and random channel allocation (RND) are simulated and their performance compared with the proposed DCA using game theory (GT).