Outage and timeout probability using multiple description coding for video transmission over relay-assisted cognitive radio networks

Multiple Description Coding (MDC) is a source coding technique that enhances video transmission reliability over networks by splitting data into multiple descriptions sent via different paths. The accuracy of the received data improves with more received descriptions. Delivering multimedia content, including transmitting videos over wireless networks, presents notable difficulties, including limitations in spectrum capacity and occurrences of packet losses. Cognitive radio (CR) technology addresses spectrum scarcity problem. Relay communication is recognized as a promising technique for enhancing the capacity and range of wireless communication systems and been extensively utilized in CR systems. However, existing research studies concentrated on the MDC approach to the relay-assisted CR systems for accommodating the challenges raised in multimedia transmission, leaving opportunities to be explored. The outage and timeout probability are two transmission performance indicators in video transmission. MDC reduces the adverse effects of outages and timeouts in relay-assisted CR networks by dividing video sequences into descriptions, enabling partial reconstruction even when some packets are lost or delayed. This thesis proposed a system comprised of the MDC to a relay-assisted CR network named MDC-RC for video transmission. This work aims to recognize new opportunities to improve the received video quality and enhance the outage and timeout performance. The first part investigates the video performance of the proposed MDC-RC system to exploit the path diversity to improve error resilience. The video encoding and decoding algorithms at the transmitter and receiver are constructed with the MDC approach. The results indicate that the proposed MDC-RC system achieves better video quality improvement up to 15% compared to the system with the conventional scheme, Single Description Coding (SDC). For path diversity exploitation, the results show that the video quality improved up to 13% when both video descriptions were received compared to one description received. The second part of the thesis focuses on the derivation of outage and timeout probability expression based on the new proposed MDC-RC system models, named MDC-RC-I and MDC-RC-U, for video transmission over the interweave and underlay mode of CR, respectively. The expression for the outage and timeout probability are derived for two scenarios, relay network and non-relay network. In relay-assisted CR networks, assessing outage and timeout probability is essential for optimizing video transmission because it reduces packet losses and delays brought on by channel variations and spectrum variability. In the last part, the proposed system models are tested for outage, timeout, and video performance. First, the outage and timeout performance are evaluated, followed by the video performance. The results show the MDC approach’s benefits towards outage performance by 7% improvement over non-relay network, and the results for video quality received indicate that the proposed MDC-RC-I improves up to 9% compared to the non-relay network and up to 4% compared to the SDC. For the MDC-RC-U model, the results demonstrate that the system model improves the timeout performance up to 6% compared to the non-relay network. As for video performance, the MDC- RC-U improves up to 15% and 3% compared to the non-relay network and SDC, respectively.

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