Occupancy Distributions of Homogeneous Queueing Systems Under Opportunistic Scheduling

This paper analyzes opportunistic schemes for transmission scheduling from one of n homogeneous queues whose channel states fluctuate independently. Considered schemes consist of an LCQ policy that transmits from a longest connected queue in the entire system, and its low-complexity variant LCQ(d) that transmits from a longest queue within a randomly chosen subset of d ≥ 1 connected queues. A Markovian model is studied where mean packet transmission time is n-1 and packet arrival rate is λ <; 1 per queue. Transient and equilibrium distributions of queue lengths are obtained in the limit as the system size n tends to infinity. It is shown that under LCQ almost all queues are empty in equilibrium, maximum queue length is 1, and the overall system occupancy is Θ(1) as n → ∞. Limiting distribution of the system occupancy is characterized. Limiting queue length distributions under LCQ(d) are also given. It is shown that if d is fixed then the system occupancy is Θ(n) and the queue length distribution has infinite support. If d = ω(1) but d = o(n) then the maximum queue length is 1 and the system occupancy reduces to O(n/d). Numerical comparison of the obtained asymptotic mean packet delays suggests that LCQ and LCQ(d) may have comparable delay performance for moderate values of n and d.

[1]  W. Marsden I and J , 2012 .

[2]  Eli Upfal,et al.  Balanced allocations (extended abstract) , 1994, STOC '94.

[3]  Thomas G. Kurtz,et al.  Averaging for martingale problems and stochastic approximation , 1992 .

[4]  A. Stolyar MaxWeight scheduling in a generalized switch: State space collapse and workload minimization in heavy traffic , 2004 .

[5]  Eytan Modiano,et al.  Optimal Transmission Scheduling in Symmetric Communication Models With Intermittent Connectivity , 2007, IEEE Transactions on Information Theory.

[6]  R. Srikant,et al.  A Large Deviations Analysis of Scheduling in Wireless Networks , 2006, IEEE Transactions on Information Theory.

[7]  R. L. Dobrushin,et al.  Queueing system with selection of the shortest of two queues: an assymptotic approach , 1996 .

[8]  S. Shakkottai,et al.  Pathwise optimality of the exponential scheduling rule for wireless channels , 2004, Advances in Applied Probability.

[9]  Leandros Tassiulas,et al.  Dynamic server allocation to parallel queues with randomly varying connectivity , 1993, IEEE Trans. Inf. Theory.

[10]  Michael Mitzenmacher,et al.  The Power of Two Choices in Randomized Load Balancing , 2001, IEEE Trans. Parallel Distributed Syst..

[11]  T. Kurtz,et al.  Large loss networks , 1994 .

[12]  M.J. Neely,et al.  Order Optimal Delay for Opportunistic Scheduling in Multi-User Wireless Uplinks and Downlinks , 2008, IEEE/ACM Transactions on Networking.

[13]  Murat Alanyali Asymptotically exact analysis of a loss network with channel continuity , 2003 .

[14]  Stan Zachary,et al.  A Refinement of the Hunt-Kurtz Theory of Large Loss Networks, with an Application to Virtual Partitioning , 2002 .

[15]  S. Ethier,et al.  Markov Processes: Characterization and Convergence , 2005 .

[16]  Sanjay Shakkottai,et al.  Effective Capacity and QoS for Wireless Scheduling , 2008, IEEE Transactions on Automatic Control.