Algorithm Design
Stable scheduling policies for fading wireless channels
IEEE/ACM Transactions on Networking (TON)
Large Deviations of Queues Sharing a Randomly Time-Varying Server
Queueing Systems: Theory and Applications
Stability and Asymptotic Optimality of Generalized MaxWeight Policies
SIAM Journal on Control and Optimization
A Large Deviations Analysis of Scheduling in Wireless Networks
IEEE Transactions on Information Theory
Optimal Transmission Scheduling in Symmetric Communication Models With Intermittent Connectivity
IEEE Transactions on Information Theory
Low-complexity scheduling algorithms for multi-channel downlink wireless networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Scheduling algorithms for multicarrier wireless data systems
IEEE/ACM Transactions on Networking (TON)
Low-complexity scheduling algorithms for multichannel downlink wireless networks
IEEE/ACM Transactions on Networking (TON)
Buffer occupation in wireless social networks
WASA'13 Proceedings of the 8th international conference on Wireless Algorithms, Systems, and Applications
Approaching throughput optimality with limited feedback in multichannel wireless downlink networks
IEEE/ACM Transactions on Networking (TON)
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We consider the problem of designing scheduling algorithms for the downlink of cellular wireless networks where bandwidth is partitioned into tens to hundreds of parallel channels, each of which can be allocated to a possibly different user in each time slot. We prove that a class of algorithms called Iterated Longest Queues First (iLQF) algorithms achieves the smallest buffer overflow probability in an appropriate large deviations sense. The class of iLQF algorithms is quite different from the class of max-weight policies which have been studied extensively in the literature, and it achieves much better performance in the regimes studied in this paper.