Dynamic resource management for cognitive radios using limited-rate feedback
IEEE Transactions on Signal Processing
Admission control and resource allocation in a heterogeneous OFDMA wireless network
IEEE Transactions on Wireless Communications
QoS scheduling for heterogeneous traffic in OFDMA-based wireless systems
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A distributed inter-cell interference coordination scheme in downlink multicell OFDMA systems
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
A cost based resource allocation policy for multiservice mobile WiMAX networks
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Cross-layer channel-aware approaches for modern wireless networks
MACOM'10 Proceedings of the Third international conference on Multiple access communications
A negotiation-based scheme for service level pricing for wireless access
Computer Communications
Dynamic packet scheduling based on utility optimization in OFDM networks
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
A wise cost-effective supplying bandwidth policy for multilayer wireless cognitive networks
Computers and Operations Research
Energy efficient communications for future broadband cellular networks
Computer Communications
Towards utility-based resource management in heterogeneous wireless networks
Proceedings of the seventh ACM international workshop on Mobility in the evolving internet architecture
Efficient Support of Streaming Videos through Patching Proxies in the Cloud
International Journal of Grid and High Performance Computing
Efficient Support of Streaming Videos through Patching Proxies in the Cloud
International Journal of Grid and High Performance Computing
Joint source and sending rate modeling in adaptive video streaming
Image Communication
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Due to the characteristics of wireless channels, utility-based resource management in wireless networks requires a set of mechanisms that are different from those for wireline networks. This paper explores in detail why and how the requirements are different. In particular, we analyze the wireless network performance to find out the scheduling algorithm that maximizes total utility of the system. Unlike previous studies, this paper focuses on scenarios in which wireless networks are not fully loaded and all of the users are best-effort data users, i.e., there is no streaming user. Our first key conclusion is that Kleinrock's Conservation Law provides a valuable means to accurately capture the perceived rates of best-effort users in such systems. The queueing analysis further indicates that, within periods during which channel conditions are stable for each user, albeit differ from user to user, the max-utility scheduling algorithm can be derived using queueing theorem and can be readily implemented in actual systems for utility functions that are of exponential or log format. When further taking into account the time-variant nature of wireless channel conditions, our simulation results demonstrate that dynamic weighted fair queueing, with weights adjusted according to the channel conditions, can achieve highly desirable performance with great flexibility.