Stability comparison in single-server-multiple-queue systems
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Relative stability analysis of multiple queues
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Performance of random medium access control, an asymptotic approach
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Stability, fairness, and performance: a flow-level study on nonconvex and time-varying rate regions
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Distributed adaptive algorithms for optimal opportunistic medium access
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Transmission control with imperfect CSI in channel-aware slotted ALOHA networks
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Exploiting cooperative advantages in slotted ALOHA random access networks
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A game-theoretic look at throughput and stability in random access
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Stability analysis of hybrid ALOHA
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Performance analysis of wireless multihop data networks
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Distributed Adaptive Algorithms for Optimal Opportunistic Medium Access
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Partial interference and its performance impact on wireless multiple access networks
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Joint MAC and rate control for stability and delay in wireless multi-access channels
Performance Evaluation
Understanding and tackling the root causes of instability in wireless mesh networks
IEEE/ACM Transactions on Networking (TON)
Cognitive MIMO Radio: Performance Analysis and Precoding Strategy
International Journal of Cognitive Informatics and Natural Intelligence
Hi-index | 754.96 |
We revisit the stability problem of systems consisting of N buffered terminals accessing a common receiver over the collision channel by means of the standard ALOHA protocol. We find that in the slotted ALOHA system queues have “instability rank” based on their individual average arrival rates and transmission probabilities. If a queue is stable, then the queue with lower instability rank is stable as well. The instability rank is used to intelligently set up the dominant systems. And the stability inner and outer bounds can be found by bounding the idle probability of some queues in the dominant system. Through analyzing those dominant systems one by one, we are able to obtain inner and outer bounds for stability. These bounds are tighter than the known ones although they still fail to identify the exact stability region for cases of N>2. The methodology used is new and holds promise for successfully addressing other similar stability problems