Title
MOS-driven energy efficient power allocation for wireless video communications
Abstract
In this paper, a MOS-driven energy efficient power allocation scheme (MEEPA) is proposed for video transmission over downlink orthogonal frequency division multiple access (OFDMA) networks. In the proposed framework, system power consumption and MOS for users based on end-to-end video distortion have been jointly optimized. We also define a novel energy efficient utility as the unifying metric based on the MOS model and the system power consumption. The main objective is to maximize the energy efficiency by balancing the MOS and the power consumption for each user. The power allocation problem is solved by using constrained particle swarm optimization (CPSO). Moreover, simulation results show that the proposed algorithm can improve energy efficiency greatly in terms of lower power consumption with a comparable video quality performance compared with the traditional algorithm.
Year
DOI
Venue
2012
10.1109/GLOCOMW.2012.6477543
GLOBECOM Workshops
Keywords
Field
DocType
radio links,wireless video communications,energy efficient,mos,system power consumption,power consumption,video transmission over downlink ofdma networks,distortion,particle swarm optimisation,ofdm modulation,energy efficiency maximization,energy conservation,power allocation problem,constrained particle swarm optimization,end-to-end video distortion,power allocation,mos-driven energy efficient power allocation,video streaming,cpso,video communication,mos model-based unifying metric,meepa,video quality performance,energy efficient utility,video transmission over downlink orthogonal frequency division multiple access networks
Particle swarm optimization,Energy conservation,Efficient energy use,Computer science,Orthogonal frequency-division multiple access,Real-time computing,Distortion,Video quality,Orthogonal frequency-division multiplexing,Telecommunications link
Conference
ISSN
ISBN
Citations 
2166-0069
978-1-4673-4940-6
2
PageRank 
References 
Authors
0.38
14
5
Name
Order
Citations
PageRank
Wenmin Ma11025.33
Haijun Zhang21997123.11
Wei Zheng334230.46
Zhaoming Lu416853.12
Xiangming Wen561882.20