A Fast-CSMA Algorithm for Deadline-Constrained Scheduling over Wireless Fading Channels
Bin Li, Atilla Eryilmaz

TL;DR
This paper introduces a Fast-CSMA algorithm designed for deadline-constrained scheduling over wireless fading channels, addressing delays and convergence issues in real-time traffic management.
Contribution
The paper proposes a novel Fast-CSMA policy that is proven to be optimal for serving real-time traffic with deadlines over fading channels in fully-connected networks.
Findings
Fast-CSMA supports all traffic within the maximal satisfiable set.
The proposed algorithm outperforms existing CSMA-based methods in simulations.
Theoretical analysis confirms the optimality of Fast-CSMA for deadline-constrained scheduling.
Abstract
Recently, low-complexity and distributed Carrier Sense Multiple Access (CSMA)-based scheduling algorithms have attracted extensive interest due to their throughput-optimal characteristics in general network topologies. However, these algorithms are not well-suited for serving real-time traffic under time-varying channel conditions for two reasons: (1) the mixing time of the underlying CSMA Markov Chain grows with the size of the network, which, for large networks, generates unacceptable delay for deadline-constrained traffic; (2) since the dynamic CSMA parameters are influenced by the arrival and channel state processes, the underlying CSMA Markov Chain may not converge to a steady-state under strict deadline constraints and fading channel conditions. In this paper, we attack the problem of distributed scheduling for serving real-time traffic over time-varying channels. Specifically,…
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Taxonomy
TopicsAdvanced Wireless Network Optimization · Advanced MIMO Systems Optimization · Wireless Communication Networks Research
