Multimedia multicast service provisioning in cognitive radio networks

In this paper, we propose a design framework for achieving efficient multimedia multicast services in cognitive radio (CR) networks. The framework incorporates the characteristics of both heterogeneous network environment and the scalable video content. By adopting cooperative transmissions for the delivery of enhancement layer data, we can not only improve the achieved video quality but also protect the rights of subscribed secondary users. We also utilize network coding and superposition coding to achieve efficient multicast transmissions of the layered video packets in multi-channel CR networks. Numerical examples show the proposed framework can improve the average received data rate by up to 15%. When achieving the same video quality, the proposed framework can save 30% transmission time comparing with the scenario using direct transmission alone.

[1]  Narayan B. Mandayam,et al.  Resource allocation for multicast in an OFDMA network with Random Network Coding , 2011, 2011 Proceedings IEEE INFOCOM.

[2]  Xuemin Shen,et al.  Channel Allocation for Smooth Video Delivery over Cognitive Radio Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[3]  Pin-Han Ho,et al.  A cooperative multicast scheduling scheme for multimedia services in IEEE 802.16 networks , 2009, IEEE Transactions on Wireless Communications.

[4]  Donglin Hu,et al.  On Cooperative Relay in Cognitive Radio Networks , 2013, EAI Endorsed Trans. Mob. Commun. Appl..

[5]  Yiwei Thomas Hou,et al.  Scalable video multicast in cognitive radio networks , 2010, IEEE Journal on Selected Areas in Communications.

[6]  R. Yeung,et al.  Network coding theory , 2006 .

[7]  Qian Zhang,et al.  Cooperative Relay for Cognitive Radio Networks , 2009, IEEE INFOCOM 2009.

[8]  Paramvir Bahl,et al.  White space networking with wi-fi like connectivity , 2009, SIGCOMM '09.

[9]  Yuping Zhao,et al.  Delay Sensitive Communications over Cognitive Radio Networks , 2012, IEEE Transactions on Wireless Communications.

[10]  Chunyan Feng,et al.  Collecting Detection Diversity and Complexity Gains in Cooperative Spectrum Sensing , 2012, IEEE Transactions on Wireless Communications.

[11]  Thomas M. Cover,et al.  Comments on Broadcast Channels , 1998, IEEE Trans. Inf. Theory.