TY - GEN
T1 - Optimizing Energy and Modulation Selection in Multi-Resolution Modulation For Wireless Video Broadcast/Multicast
AU - She, James
AU - Ho, Pin-Han
AU - Shihada, Basem
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2010/2/9
Y1 - 2010/2/9
N2 - Emerging technologies in Broadband Wireless Access (BWA) networks and video coding have enabled high-quality wireless video broadcast/multicast services in metropolitan areas. Joint source-channel coded wireless transmission, especially using hierarchical/superposition coded modulation at the channel, is recognized as an effective and scalable approach to increase the system scalability while tackling the multi-user channel diversity problem. The power allocation and modulation selection problem, however, is subject to a high computational complexity due to the nonlinear formulation and huge solution space. This paper introduces a dynamic programming framework with conditioned parsing, which significantly reduces the search space. The optimized result is further verified with experiments using real video content. The proposed approach effectively serves as a generalized and practical optimization framework that can gauge and optimize a scalable wireless video broadcast/multicast based on multi-resolution modulation in any BWA network.
AB - Emerging technologies in Broadband Wireless Access (BWA) networks and video coding have enabled high-quality wireless video broadcast/multicast services in metropolitan areas. Joint source-channel coded wireless transmission, especially using hierarchical/superposition coded modulation at the channel, is recognized as an effective and scalable approach to increase the system scalability while tackling the multi-user channel diversity problem. The power allocation and modulation selection problem, however, is subject to a high computational complexity due to the nonlinear formulation and huge solution space. This paper introduces a dynamic programming framework with conditioned parsing, which significantly reduces the search space. The optimized result is further verified with experiments using real video content. The proposed approach effectively serves as a generalized and practical optimization framework that can gauge and optimize a scalable wireless video broadcast/multicast based on multi-resolution modulation in any BWA network.
UR - http://hdl.handle.net/10754/351427
UR - http://www.shihada.com/node/publications/AccessNet09_Optimizing.pdf
UR - http://www.scopus.com/inward/record.url?scp=84885886975&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-11664-3_6
DO - 10.1007/978-3-642-11664-3_6
M3 - Conference contribution
SN - 9783642116636
SP - 67
EP - 79
BT - Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
PB - Springer Nature
ER -