NDLI: Optimal Delay-Power Tradeoff in Wireless Transmission with Fixed Modulation

Content Provider	IEEE Xplore Digital Library
Author	Wei Chen Zhigang Cao Letaief, K.B.
Copyright Year	2007
Description	Author affiliation: Dept. of Electron. Eng., Tsinghua Univ., Beijing (Wei Chen; Zhigang Cao)
Abstract	Cross-layer scheduling is an emerging and powerful solution that can significantly improve the quality of service (QoS) and power efficiency in wireless networks by jointly using channel and buffer states to adjust transmission power and rate. In conventional scheduling methods, adaptive modulation and coding (AMQ) is adopted to realize rate adaptation. However, this may greatly increase the transceiver and protocol complexity. To overcome this, scheduling methods based on fixed modulation are studied in this paper. In this case, the scheduler only needs to determine whether the transmitter is active at given channel and buffer state. When the transmitter is active, it will transmit in a fixed data rate, by using power adaptation to achieve a required SNR at the receiver. Our aim is to minimize the average packet delay given constraint on average power. To do that, we shall derive the analytical results of delay, packet-loss rate, and power consumption of cross-layer scheduling. It will then be shown that there exists a fundamental tradeoff between delay and power, which characterize the performance limit of cross-layer scheduling. In addition, a delay-optimal scheduling method will also be presented.
Starting Page	60
Ending Page	64
File Size	4267801
Page Count	5
File Format	PDF
ISBN	9781424412839
DOI	10.1109/IWCLD.2007.4379038
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption Cross layer design Protocols Quality of service Cross-layer design Transceivers Scheduling Delay Transmitters Processor scheduling Wireless networks Power efficiency Power engineering and energy
Content Type	Text
Resource Type	Article

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