延迟最优的多信道机会接入
Delay Optimal Multichannel Opportunistic Access
AI总结：
针对多连续时间马尔可夫信道的机会接入，提出基于短视感知与自适应传输（MS-AT）的策略，在风险敏感约束马尔可夫决策过程框架下，证明其同时实现吞吐量和延迟最优性。
摘要：
本文考虑最小化多连续时间马尔可夫信道机会接入的排队延迟问题。提出一种基于短视感知与自适应传输（MS-AT）的新接入策略。在以有效带宽作为排队延迟度量的风险敏感约束马尔可夫决策过程框架下，证明了MS-AT同时实现了吞吐量和延迟最优性。进一步证明，MS-AT的有效带宽和吞吐量都是碰撞约束（最大允许条件碰撞概率）的两段分段线性函数，且在紧碰撞约束下有效带宽与吞吐量重合。与短视感知和无记忆传输（MS-MT）策略（该策略在紧碰撞约束下吞吐量最优但延迟次优）进行了分析和仿真比较。
英文摘要：
The problem of minimizing queueing delay of opportunistic access of multiple continuous time Markov channels is considered. A new access policy based on myopic sensing and adaptive transmission (MS-AT) is proposed. Under the framework of risk sensitive constrained Markov decision process with effective bandwidth as a measure of queueing delay, it is shown that MS-AT achieves simultaneously throughput and delay optimality. It is shown further that both the effective bandwidth and the throughput of MS-AT are two-segment piece-wise linear functions of the collision constraint (maximum allowable conditional collision probability) with the effective bandwidth and throughput coinciding in the regime of tight collision constraints. Analytical and simulations comparisons with the myopic sensing and memoryless transmission (MS-MT) policy which is throughput optimal but delay suboptimal in the regime of tight collision constraints.
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