Online maximizing weighted throughput in a fading channel

  • Authors:
  • Fei Li;Zhi Zhang

  • Affiliations:
  • Department of Computer Science, George Mason University, Fairfax, Virginia;Department of Computer Science, George Mason University, Fairfax, Virginia

  • Venue:
  • ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
  • Year:
  • 2009

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Abstract

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.