A New Framework for Cognitive Medium Access Control: POSG Approach

TL;DR

This paper introduces a novel analytical framework using POSG and Dec-POMDP models to optimize medium access control for secondary users in cognitive radio networks, addressing both competitive and cooperative scenarios.

Contribution

It presents a new framework applying POSG and Dec-POMDP to model and solve medium access problems in cognitive radio networks, including dominant strategies for different scenarios.

Findings

POSG effectively models competitive access scenarios.

Dec-POMDP provides solutions for cooperative access.

Dominant strategies are derived for a three-slot horizon.

Abstract

In this paper, we propose a new analytical framework to solve medium access problem for secondary users (SUs) in cognitive radio networks. Partially Observable Stochastic Games (POSG) and Decentralized Markov Decision Process (Dec-POMDP) are two multi-agent Markovian decision processes which are used to present a solution. A primary network with two SUs is considered as an example to demonstrate our proposed framework. Two different scenarios are assumed. In the first scenario, SUs compete to acquire the licensed channel which is modeled using POSG framework. In the second one, SUs cooperate to access channel for which the solution is based on Dec-POMDP. Besides, the dominant strategy for both of the above mentioned scenarios is presented for a three slot horizon length.