IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Downlink scheduling in CDMA data networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Principles of mobile communication (2nd ed.)
Principles of mobile communication (2nd ed.)
Size-based scheduling to improve web performance
ACM Transactions on Computer Systems (TOCS)
A framework for opportunistic scheduling in wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Connection scheduling in web servers
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
Opportunistic beamforming using dumb antennas
IEEE Transactions on Information Theory
File transmission over wireless fast fading downlink
IEEE Transactions on Information Theory
Multiple-antenna channel hardening and its implications for rate feedback and scheduling
IEEE Transactions on Information Theory
Providing quality of service over a shared wireless link
IEEE Communications Magazine
Opportunistic transmission scheduling with resource-sharing constraints in wireless networks
IEEE Journal on Selected Areas in Communications
On the effect of inexact size information in size based policies
ACM SIGMETRICS Performance Evaluation Review
Opportunistic scheduling for OFDM systems with fairness constraints
EURASIP Journal on Wireless Communications and Networking - Cognitive Radio and Dynamic Spectrum Sharing Systems
Combining opportunistic and size-based scheduling in wireless systems
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
A cross-layer elastic CAC and holistic opportunistic scheduling for QoS support in WiMAX
Computer Networks: The International Journal of Computer and Telecommunications Networking
A modeling framework for optimizing the flow-level scheduling with time-varying channels
Performance Evaluation
Optimal scheduling of heavy tailed traffic via shape parameter estimation
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Journal of Network and Computer Applications
On the optimal trade-off between SRPT and opportunistic scheduling
Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
On the optimal trade-off between SRPT and opportunistic scheduling
ACM SIGMETRICS Performance Evaluation Review - Performance evaluation review
Wireless Personal Communications: An International Journal
Stability and asymptotic optimality of opportunistic schedulers in wireless systems
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
Optimal size-based opportunistic scheduler for wireless systems
Queueing Systems: Theory and Applications
Scheduling in a random environment: stability and asymptotic optimality
IEEE/ACM Transactions on Networking (TON)
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In multiuser wireless networks, opportunistic scheduling can improve the system throughput and thus reduce the total completion time. In this paper, we explore the possibility of reducing the completion time further by incorporating traffic information into opportunistic scheduling. More specifically, we first establish convexity properties for opportunistic scheduling with file size information. Then, we develop new traffic aided opportunistic scheduling (TAOS) schemes by making use of file size information and channel variation in a unified manner. We also derive lower bounds and upper bounds on the total completion time, which serve as benchmarks for examining the performance of the TAOS schemes. Our results show that the proposed TAOS schemes can yield significant reduction in the total completion time. The impact of fading, file size distributions, and random arrivals and departures, on the system performance, is also investigated. In particular, in the presence of user dynamics, the proposed TAOS schemes perform well when the arrival rate is reasonably high.