Designing fair flow fuzzy controller using genetic algorithm for computer networks
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Optimal scheduling for multiple description video streams in wireless multihop networks
IEEE Communications Letters
Optimal rate-reliability-delay tradeoff in networks with composite links
IEEE Transactions on Communications
IEEE Transactions on Wireless Communications
What level of estimating accuracy does TCP need and can TCP achieve
Proceedings of the 5th international student workshop on Emerging networking experiments and technologies
Wireless NUM: rate and reliability tradeoffs in random environments
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Retransmission aware congestion control and distributed power allocation in MANETs
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Reliability-based rate allocation in wireless inter-session network coding systems
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Robust spectrum management for DMT-based systems
IEEE Transactions on Signal Processing
Network resource allocation for competing multiple description transmissions
IEEE Transactions on Communications
IEEE Journal on Selected Areas in Communications
Rate-distortion control with delay bound constraint for video streaming over multi-hop networks
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Layering as optimization decomposition: questions and answers
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Pervasive and Mobile Computing
Adaptive resource management for P2P live streaming systems
Future Generation Computer Systems
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The current framework of network utility maximization for rate allocation and its price-based algorithms assumes that each link provides a fixed-size transmission "pipe" and each user's utility is a function of transmission rate only. These assumptions break down in many practical systems, where, by adapting the physical layer channel coding or transmission diversity, different tradeoffs between rate and reliability can be achieved. In network utility maximization problems formulated in this paper, the utility for each user depends on both transmission rate and signal quality, with an intrinsic tradeoff between the two. Each link may also provide a higher (or lower) rate on the transmission "pipes" by allowing a higher (or lower) decoding error probability. Despite nonseparability and nonconvexity of these optimization problems, we propose new price-based distributed algorithms and prove their convergence to the globally optimal rate-reliability tradeoff under readily-verifiable sufficient conditions. We first consider networks in which the rate-reliability tradeoff is controlled by adapting channel code rates in each link's physical-layer error correction codes, and propose two distributed algorithms based on pricing, which respectively implement the "integrated" and "differentiated" policies of dynamic rate-reliability adjustment. In contrast to the classical price-based rate control algorithms, in our algorithms, each user provides an offered price for its own reliability to the network, while the network provides congestion prices to users. The proposed algorithms converge to a tradeoff point between rate and reliability, which we prove to be a globally optimal one for channel codes with sufficiently large coding length and utilities whose curvatures are sufficiently negative. Under these conditions, the proposed algorithms can thus generate the Pareto optimal tradeoff curves between rate and reliability for all the users. In addition, the distributed algorithms and convergence proofs are extended for wireless multiple-inpit-multiple-output multihop networks, in which diversity and multiplexing gains of each link are controlled to achieve the optimal rate-reliability tradeoff. Numerical examples confirm that there can be significant enhancement of the n- etwork utility by distributively trading-off rate and reliability, even when only some of the links can implement dynamic reliability.