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Content-aware resource allocation in OFDM systems for energy-efficient video transmission
journal contribution
posted on 2017-02-24, 14:55 authored by Emad Danish, Varuna De Silva, Anil Fernando, Chamitha De Alwis, Ahmet KondozDemand on multimedia content by consumers' handheld devices over wireless channels is on the increase. In view of the accelerated trend towards consumption of high quality video, power utilization by mobile devices is expected to excessively increase. Hence, it becomes equally important to advance more efficient power minimization techniques, in light of the short battery life in portable devices. However, power minimization algorithms that adopt consumers' perceptual quality of video have not received adequate research. This paper proposes a joint optimization of energy and quality requirements in a multiuser orthogonal frequencydivision multiplexing environment. A multi-objective optimization problem is formulated with the aim to identify bitrate allocations among users such that total power is minimized, and average quality is maximized. For this, a content-aware and energy-efficient resource allocation scheme (CaERAS) is proposed based on genetic and greedy algorithms. Simulation results show that CaERAS, as a lowcomplexity scheme, outperforms comparable methods in terms of efficiency and selectivity of suboptimal solutions. It is shown to acquire a suboptimal solution in as low as 0.0025 of the search space in previous methods. Also, a significant average saving of 85.66% in required energy is observed in broadcast transmission as opposed to unicast transmission.
History
School
- Loughborough University London
Published in
IEEE Transactions on Consumer ElectronicsVolume
60Issue
3Pages
320 - 328Citation
DANISH, E. ... et al, 2014. Content-aware resource allocation in OFDM systems for energy-efficient video transmission. IEEE Transactions on Consumer Electronics, 60 (3), pp.320-328Publisher
© IEEEVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2014-11-03Notes
This paper is closed access.ISBN
9781479912919ISSN
0098-3063Publisher version
Language
- en
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