Adaptive Bitrate Video Transmission Over Cognitive Radio Networks Using Cross Layer Routing Approach
Ali, A, Tariq, S, Iqbal, M, Feng, L, Raza, I, Hameed Siddiqi, M and Kashif Bashir, A (2020). Adaptive Bitrate Video Transmission Over Cognitive Radio Networks Using Cross Layer Routing Approach. IEEE Transactions on Cognitive Communications and Networking.
|Authors||Ali, A, Tariq, S, Iqbal, M, Feng, L, Raza, I, Hameed Siddiqi, M and Kashif Bashir, A|
Due to the recent developments in the wireless mesh and ad-hoc networks, multi-hop cognitive radio networks (MCRNs) have attained the significant attention towards providing the reliable multimedia communications. However, in reliable multimedia communications each multimedia application observed a very stringent quality-of-service (QoS) requirements. Moreover, in MCRNs, channel allocated to the multimedia secondary users (MSUs) can be re-occupied by the primary users (PUs) at any time which causes the end-to-end- path discontinuity that severely affect the performance of the MCRNs. Therefore, under the dynamic channel availability, selecting an end-to-end path that is not only stable but also fulfills the QoS requirements of the real time and multimedia (RM) applications is a challenging task and still an open research problem. Hence, in this paper, we propose a cross-layer routing scheme that supports adaptive bit-rate multimedia (ABM) transmissions over MCRNs. Moreover, our path selection is based on the QoSaware end-to-end path delay, and PU-activity aware endto-end path stability metrices. Furthermore, to avoid the PU interference, continuity in transmission, efficient channel utilization, and supporting error resilience over time varying wireless channels our selected end-to-end path is periodically updated. Simulation study shows that the proposed scheme is more robust and suitable for supporting ABM over MCRNs.
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|Keywords||Cross layer routing; Adaptive Bit-rate Multimedia; QoS|
|Journal||IEEE Transactions on Cognitive Communications and Networking|
|Publisher||Institute of Electrical and Electronics Engineers|
|Digital Object Identifier (DOI)||doi:10.1109/TCCN.2020.2990673|
|Online||28 Apr 2020|
|Publication process dates|
|Accepted||09 Apr 2020|
|Deposited||29 Apr 2020|
|Accepted author manuscript|
CC BY 4.0
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