Resource Allocation for Downlink Multiuser Video Transmission Over Wireless Lossy Networks. Maani, E., Pahalawatta, P. V., Berry, R., Pappas, T. N., & Katsaggelos, A. K. IEEE Transactions on Image Processing, 17(9):1663–1671, sep, 2008.
Resource Allocation for Downlink Multiuser Video Transmission Over Wireless Lossy Networks [link]Paper  doi  abstract   bibtex   
This paper addresses the problem of multi-user video transmission over the uplink of multi-carrier networks from an information theoretic perspective. Under the constraints imposed by the Physical (PHY) and Medium Access Control (MAC) layers, we exploit the unique property of state-of-the-art video coders that can provide bitstream prioritization in terms of distortion impact and solve the problem of allocating wireless resources, i.e., power and rate among multiple users such that the weighted sum of the overall video qualities is maximized. An optimality condition is derived to describe the achievable convex utility region. We start from the two-user case and develop an algorithm for the optimal resource allocation. Inspired by the intuition gained from the two-user case, we extend the algorithm to the multiple-user case. Our numerical simulations show that the proposed resource allocation algorithms give significant performance improvements as compared to application-layer agnostic solutions that do not consider the quality impact. ©2008 IEEE.
@article{Yi2008,
abstract = {This paper addresses the problem of multi-user video transmission over the uplink of multi-carrier networks from an information theoretic perspective. Under the constraints imposed by the Physical (PHY) and Medium Access Control (MAC) layers, we exploit the unique property of state-of-the-art video coders that can provide bitstream prioritization in terms of distortion impact and solve the problem of allocating wireless resources, i.e., power and rate among multiple users such that the weighted sum of the overall video qualities is maximized. An optimality condition is derived to describe the achievable convex utility region. We start from the two-user case and develop an algorithm for the optimal resource allocation. Inspired by the intuition gained from the two-user case, we extend the algorithm to the multiple-user case. Our numerical simulations show that the proposed resource allocation algorithms give significant performance improvements as compared to application-layer agnostic solutions that do not consider the quality impact. {\textcopyright}2008 IEEE.},
author = {Maani, Ehsan and Pahalawatta, Peshala V. and Berry, Randall and Pappas, Thrasyvoulos N. and Katsaggelos, Aggelos K.},
doi = {10.1109/TIP.2008.2001402},
isbn = {9781424420742 05361486 , issue = 9},
issn = {1057-7149},
journal = {IEEE Transactions on Image Processing},
keywords = {Multi-carrier networks,Utility driven resource man},
month = {sep},
number = {9},
pages = {1663--1671},
title = {{Resource Allocation for Downlink Multiuser Video Transmission Over Wireless Lossy Networks}},
url = {http://ieeexplore.ieee.org/document/4599190/},
volume = {17},
year = {2008}
}

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