Congestion control for fair resource allocation in networks with multicast flows
IEEE/ACM Transactions on Networking (TON)
A lexicographically fair allocation of discrete bandwidth for multirate multicast traffics
Computers and Operations Research
Application-oriented flow control: fundamentals, algorithms and fairness
IEEE/ACM Transactions on Networking (TON)
Network optimization and control
Foundations and Trends® in Networking
Wireless multicast cross-layer framework for rate allocation: protocol design
International Journal of Internet Protocol Technology
Multi-rate multicasting with network coding
Proceedings of the 4th Annual International Conference on Wireless Internet
Cross-layer optimal rate allocation for heterogeneous wireless multicast
EURASIP Journal on Wireless Communications and Networking - Special issue on fairness in radio resource management for wireless networks
Utility max-min fair resource allocation for communication networks with multipath routing
Computer Communications
Distributed max-min flow control for multi-rate overlay multicast
Computer Networks: The International Journal of Computer and Telecommunications Networking
Improving rate allocation for ephemeral traffic using a second-order algorithm
Journal of Network and Computer Applications
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Utility-based bandwidth adaptation in mission-oriented wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Multirate multicasting with intralayer network coding
IEEE/ACM Transactions on Networking (TON)
Reliable Key Management and Data Delivery Method in Multicast Over Wireless IPv6 Networks
Wireless Personal Communications: An International Journal
An evolutionary-based fuzzy resource assignment strategy for elastic traffic
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In multirate multicasting, different users (receivers) within the same multicast group can receive service at different rates, depending on the user requirements and the network congestion level. Compared with unirate multicasting, this provides more flexibility to the user and allows more efficient usage of the network resources. We address the rate control problem for multirate multicast sessions, with the objective of maximizing the total receiver utility. This aggregate utility maximization problem not only takes into account the heterogeneity in user requirements, but also provides a unified framework for diverse fairness objectives. We propose an algorithm for this problem and show, through analysis and simulation, that it converges to the optimal rates. In spite of the nonseparability of the problem, the solution that we develop is completely decentralized, scalable and does not require the network to know the receiver utilities. The algorithm requires very simple computations both for the user and the network, and also has a very low overhead of network congestion feedback.