Energy-Delay-Distortion问题

R. Vaze, Shreyas Chaudhari, Akshat Choube, Nitin Aggarwal
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引用次数: 1

摘要

考虑一个能量有限的源试图将多个数据包传输到可能大小不同的目的地。由于能量有限,源不可能传输所有数据包的所有位。此外,每个数据包都有一个相关的延迟成本。因此,源必须选择,为每个数据包传输多少位,以及传输这些位的顺序,以最小化所有数据包的失真成本(通过传输较低的位数引入)和排队加上传输延迟。假设失真损失和线性延迟代价为指数度量,我们证明了传输的最优顺序是数据包大小的递增顺序,并且优化问题是联合凸的。因此,该问题可以用凸解精确求解,但由于KKT条件导出的表达式复杂,即使采用最简单的代价函数选择,也无法找到封闭形式的解。为了促进更结构化的解决方案,还考虑了问题的离散版本,其中时间和能量以离散的数量划分。在任意时隙(固定长度)中,可以传输属于任意一个数据包的比特,而在任意一个数据包对应的任意时隙中可以使用任意离散数量的能量量子,从而满足总能量约束。离散化问题是多分区问题的一种特殊情况,其中每个数据包的效用是超模块化的,并且所提出的贪婪解决方案所产生的成本最多是最优成本的2倍。
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Energy-Delay-Distortion Problem
An energy-limited source trying to transmit multiple packets to a destination with possibly different sizes is considered. With limited energy, the source cannot potentially transmit all bits of all packets. In addition, there is a delay cost associated with each packet. Thus, the source has to choose, how many bits to transmit for each packet, and the order in which to transmit these bits, to minimize the cost of distortion (introduced by transmitting lower number of bits) and queueing plus transmission delay, across all packets. Assuming an exponential metric for distortion loss and linear delay cost, we show that the optimal order of transmission is the increasing order of packet sizes and optimization problem is jointly convex. Hence, the problem can be exactly solved using convex solvers, however, because of the complicated expression derived from the KKT conditions, no closed form solution can be found even with the simplest cost function choice made in the paper. To facilitate a more structured solution, a discretized version of the problem is also considered, where time and energy are divided in discrete amounts. In any time slot (fixed length), bits belonging to any one packet can be transmitted, while any discrete number of energy quanta can be used in any slot corresponding to any one packet, such that the total energy constraint is satisfied. The discretized problem is a special case of a multi-partitioning problem, where each packet's utility is super-modular and the proposed greedy solution is shown to incur cost that is at most 2-times of the optimal cost.
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