Network Coding for Video Distortion Reduction in Device-To-Device Communications
Date
2017
Authors
Sadeghi, Parastoo
Sorour, Sameh
Karim, Mohammad
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Publisher
Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
In this paper, we study the problem of distributing a real-time video sequence to a group of partially connected cooperative
wireless devices using instantly decodable network coding (IDNC). In such a scenario, the coding conflicts occur to service multiple devices with an immediately decodable packet, and the
transmission conflicts occur from simultaneous transmissions of multiple devices. To avoid these conflicts, we introduce a novel IDNC graph that represents all feasible coding and transmission
conflict-free decisions in one unified framework. Moreover, a realtime video sequence has a hard deadline and unequal importance of video packets. Using these video characteristics and the new IDNC graph, we formulate the problem of minimizing the mean video distortion before the deadline as a finite horizon Markov decision
process (MDP) problem. However, the backward induction algorithm that finds the optimal policy of the MDP formulation has high modeling and computational complexities. To reduce these
complexities, we further design a two-stage maximal independent set selection algorithm, which can efficiently reduce the mean video
distortion before the deadline. Simulation results over a real video sequence show that our proposed IDNC algorithms improve the received
video quality compared with the existing IDNC algorithms.
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Keywords
Device-to-Device (D2D)communications, Markov decision process (MDP), network coding, real-time video streaming
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Source
IEEE Transactions on Vehicular Technology
Type
Journal article
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Restricted until
2099-12-31
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