论文标题
延迟在马尔可夫频道上使用功率约束的最佳跨层调度
Delay Optimal Cross-Layer Scheduling Over Markov Channels with Power Constraint
论文作者
论文摘要
我们考虑了一个场景，其中幂限制的发射器将随机到达的数据包通过马尔可夫时变通道将数据包随机到达目的地，并将不同的传输功率调整到每个通道状态，以确保成功的传输。为了最大程度地减少每个数据包的预期平均传输延迟，我们将问题提出为约束的马尔可夫决策过程（CMDP）。我们揭示了最佳策略的队列长度阈值结构，即，当且仅当队列长度超过阈值并通过线性编程（LP）获得最佳跨层调度策略时，发射器才会发送数据包。数值结果验证了拟议策略的性能，并说明了这种情况下的延迟功率折衷。
We consider a scenario where a power constrained transmitter delivers randomly arriving packets to the destination over Markov time-varying channel and adapts different transmission power to each channel state in order to guarantee successful transmission. To minimize the expected average transmission delay of each packet, we formulate the problem into a constrained Markov decision process (CMDP). We reveal the queue-length threshold structure of the optimal policy, i.e., the transmitter sends packets if and only if the queue length surpasses a threshold and obtain the optimal cross-layer scheduling strategy through linear programming (LP). Numerical results validate the performance of the proposed strategy and illustrate a delay-power tradeoff in such scenario.
