QoS Provisioning for Multimedia Transmission in Cognitive Radio Networks

TL;DR

This paper proposes an integrated approach to optimize multimedia transmission in cognitive radio networks by jointly adjusting application layer parameters and access strategies, considering channel variability and sensing errors.

Contribution

It introduces a POMDP-based framework for joint optimization of multimedia QoS and spectrum access in CR networks, addressing channel uncertainties and application layer control.

Findings

The proposed scheme effectively improves multimedia QoS in CR networks.

Simulation results demonstrate the optimal policy's ability to adapt to channel variations.

The framework handles sensing errors and dynamic channel conditions efficiently.

Abstract

In cognitive radio (CR) networks, the perceived reduction of application layer quality of service (QoS), such as multimedia distortion, by secondary users may impede the success of CR technologies. Most previous work in CR networks ignores application layer QoS. In this paper we take an integrated design approach to jointly optimize multimedia intra refreshing rate, an application layer parameter, together with access strategy, and spectrum sensing for multimedia transmission in a CR system with time varying wireless channels. Primary network usage and channel gain are modeled as a finite state Markov process. With channel sensing and channel state information errors, the system state cannot be directly observed. We formulate the QoS optimization problem as a partially observable Markov decision process (POMDP). A low complexity dynamic programming framework is presented to obtain the optimal policy. Simulation results show the effectiveness of the proposed scheme.