Stable scheduling policies for fading wireless channels
IEEE/ACM Transactions on Networking (TON)
Maximizing Queueing Network Utility Subject to Stability: Greedy Primal-Dual Algorithm
Queueing Systems: Theory and Applications
Optimal channel probing and transmission scheduling for opportunistic spectrum access
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Scheduling with limited information in wireless systems
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
Network adiabatic theorem: an efficient randomized protocol for contention resolution
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
Optimality of myopic sensing in multichannel opportunistic access
IEEE Transactions on Information Theory
On scheduling in multi-channel wireless downlink networks with limited feedback
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
INFOCOM'10 Proceedings of the 29th conference on Information communications
On optimal feedback allocation in multichannel wireless downlinks
Proceedings of the eleventh ACM international symposium on Mobile ad hoc networking and computing
Dynamic server allocation to parallel queues with randomly varying connectivity
IEEE Transactions on Information Theory
Limited feedback schemes for downlink OFDMA based on sub-channel groups
IEEE Journal on Selected Areas in Communications
On Wireless Scheduling With Partial Channel-State Information
IEEE Transactions on Information Theory
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We study the problem of distributed scheduling in wireless networks, where each node makes individual scheduling decisions based on heterogeneously delayed network state information (NSI). This leads to inconsistency in the views of the network across nodes, which, coupled with interference, makes it challenging to schedule for high throughputs.We characterize the network throughput region for this setup, and develop optimal scheduling policies to achieve the same. Our scheduling policies have a threshold-based structure and, moreover, require the nodes to use only the "smallest critical subset" of the available delayed NSI to make decisions. In addition, using Markov chain mixing techniques, we quantify the impact of delayed NSI on the throughput region. This not only highlights the value of extra NSI for scheduling, but also characterizes the loss in throughput incurred by lower complexity scheduling policies which use homogeneously delayed NSI.