Data networks
Error control systems for digital communication and storage
Error control systems for digital communication and storage
Optimal throughput-delay scaling in wireless networks: part I: the fluid model
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
The MIMO ARQ Channel: Diversity–Multiplexing–Delay Tradeoff
IEEE Transactions on Information Theory
Diversity Embedded Space–Time Codes
IEEE Transactions on Information Theory
Price-based distributed algorithms for rate-reliability tradeoff in network utility maximization
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Congestion control and its stability in networks with delay sensitive traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking
Rate control-based framework and algorithm for optimal provisioning
Photonic Network Communications
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Networks need to accommodate diverse applications with different Quality-of-Service (QoS) requirements. New ideas at the physical layer are being developed for this purpose, such as diversity embedded coding, which is a technique that combines high rates with high reliability. We address the problem of how to fully utilize different rate-reliability characteristics at the physical layer to support different types of traffic over a network and to jointly maximize their utilities. We set up a new framework based on utility maximization for networks with composite links, meaning that each link consists of sub-links that can attain different rate-reliability characteristics simultaneously. We incorporate delay, in addition to rate and reliability, into the utility functions. To accommodate different types of traffic, we propose distributed algorithms converging to the optimal rate-reliability-delay tradeoff based on capacity division and priority queueing. Numerical results show that compared with traditional codes, the new codes can provide higher network utilities for all traffic types simultaneously. The results also show that priority queueing achieves higher network utility than capacity division.