A framework for opportunistic scheduling in wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
SCHEDULING IN A QUEUING SYSTEM WITH ASYNCHRONOUSLY VARYING SERVICE RATES
Probability in the Engineering and Informational Sciences
Stable scheduling policies for fading wireless channels
IEEE/ACM Transactions on Networking (TON)
User-level performance of channel-aware scheduling algorithms in wireless data networks
IEEE/ACM Transactions on Networking (TON)
Large Deviations of Queues Sharing a Randomly Time-Varying Server
Queueing Systems: Theory and Applications
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
Markov Chains and Stochastic Stability
Markov Chains and Stochastic Stability
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Downlink scheduling for multiclass traffic in LTE
EURASIP Journal on Wireless Communications and Networking - 3GPP LTE and LTE Advanced
Delay-optimal opportunistic scheduling and approximations: the log rule
IEEE/ACM Transactions on Networking (TON)
Hi-index | 754.84 |
A centralized wireless system is considered that is serving a fixed set of users with time varying channel capacities. An opportunistic scheduling rule in this context selects a user (or users) to serve based on the current channel state and user queues. Unless the user traffic is symmetric and/or the underlying capacity region a polymatroid, little is known concerning how performance optimal schedulers should tradeoff maximizing current service rate (being opportunistic) versus balancing unequal queues (enhancing user-diversity to enable future high service rate opportunities). By contrast, with currently proposed opportunistic schedulers, e.g., MaxWeight and Exp Rule, a radial sum-rate monotonic (RSM) scheduler de-emphasizes queue-balancing in favor of greedily maximizing the system service rate as the queue-lengths are scaled up linearly. In this paper, it is shown that an RSM opportunistic scheduler, p-Log Rule, is not only throughput-optimal, but also maximizes the asymptotic exponential decay rate of the sum-queue distribution for a two-queue system. The result complements existing optimality results for opportunistic scheduling and point to RSM schedulers as a good design choice given the need for robustness in wireless systems with both heterogeneity and high degree of uncertainty.