Open AccessCognitive radio based efficient video multicast in TV white space
Author(s) -
Liu Cong,
Fei Wei,
Hu Sheng,
Wu Minghu,
Liu Meng
Publication year - 2021
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/cmu2.12200
Subject(s) - multicast , computer science , white spaces , computer network , scalable video coding , video quality , source specific multicast , wireless , cognitive radio , scalability , telecommunications , metric (unit) , operations management , database , economics
The wireless video multicast in TV White Space (TVWS) is a challenging task due to the characteristics of the wireless channels and the video streaming. This paper studies the optimized real‐time video multicast in TVWS, and proposes a practical and bandwidth‐efficient TVWS video multicast framework. First, a TVWS‐based efficient quasi‐static spectrum access scheme is employed to reduce the spectrum switch delay. Second, a cross‐layer optimized resource scheduling scheme is proposed to further improve the multicast performance, which considers various cross‐layer design factors, including scalable video coding, adaptive modulation‐coding, to maximize the overall received video quality. Finally, the proposed resource scheduling problem is formulated as a mixed‐integer non‐linear programming problem. Considering that the video streaming is delay‐sensitive, the problem is addressed with a proposed sub‐optimal but computational efficient algorithm. The simulation results demonstrate the effectiveness and superiority of the proposed scheme.