Achieving the Optimal Delay-Power Tradeoff in Wireless Transmission with Arbitrarily Random Packet Arrival: A Cross-Layer Approach
Achieving the Optimal Delay-Power Tradeoff in Wireless Transmission with Arbitrarily Random Packet Arrival: A Cross-Layer Approach
复制标题
DOI：
10.1109/glocom.2014.7417380
复制
发表时间：
2014-12
期刊：
影响因子：
--
通讯作者：
M. Wang;Wei Chen-
中科院分区：
文献类型：
--
作者：
M. Wang;Wei Chen-
通过无线便携式设备进行的通信通常具有低能量效率并且遭受信道衰落。由于这些限制，在给定的能量约束下，保证服务质量（QoS），如低的平均传输延迟和分组丢失率正成为一个重要的问题。一种有效的解决方案被认为是跨层调度，其目的是通过组合各个层来提高整体性能。在网络层感知随机分组到达，在业务层感知信道状态的基础上，提出了一种概率调度策略。更具体地说，我们专注于任意随机分组到达分布时，建立系统模型。基于马尔可夫链模型，建立了一个线性规划（LP）问题，以最小化给定功率约束下的平均传输延迟。基于LP问题的解，可以导出基于阈值的最优调度策略。
Communication by wireless portable devices usually has a low energy efficiency and suffers from channel fading. Because of these limitations, assuring Quality of Service(QoS) such as low average transmission delay and packet loss rate under a given energy constraint is becoming an important problem. One efficient solution is considered as cross-layer scheduling which aims to improve the overall performance by combining various layers. With the awareness of random packet arrival in the network layer and channel state in the physic layer, a probabilistic scheduling strategy is proposed in this paper. More specifically, we focus on the arbitrarily random packet arrival distribution when building the system model. Based on the Markov chain model, a linear programming (LP) problem is formulated to minimize the average transmission delay under a given power constraint. Based on the solution of the LP problem, a threshold-based optimal schedule policy can be derived.