衰落信道中的在线最大加权吞吐量

Fei Li, Zhi Zhang
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引用次数: 3

摘要

考虑了在衰落信道上带时间约束的加权分组在线调度问题。数据包以在线的方式到达发送器。每个数据包都有一个值和发送的截止日期。信道的衰落状态决定了每单位时间获得的吞吐量,并且信道的质量可能随时间变化。在本文中,我们设计了在线算法来最大化加权吞吐量,加权吞吐量定义为在各自截止日期前发送的数据包的总价值。采用竞争比来衡量在线算法的性能。针对这一问题及其变体,我们提出了两种竞争比分别为2:618和2的在线算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online Maximizing Weighted Throughput in a Fading Channel
We consider online scheduling weighted packets with time constraints over a fading channel. Packets arrive at the transmitter in an online manner. Each packet has a value and a deadline by which it should be sent. The fade state of the channel determines the throughput obtained per unit of time and the channel's quality may change over time. In this paper, we design online algorithms to maximize weighted throughput, defined as the total value of the packets sent by their respective deadlines. Competitive ratio is employed to measure an online algorithm's performance. For this problem and one of its variants, we present two online algorithms with competitive ratios 2:618 and 2 respectively.
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