DocumentCode
2750576
Title
QoS-Driven Power Allocation for Multi-Channel Communication under Delayed Channel Side Information
Author
Li, Xiaochen ; Cao, Fengming ; Wu, Dapeng
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL
fYear
2009
fDate
10-13 Jan. 2009
Firstpage
1
Lastpage
5
Abstract
In this paper, we study the power allocation scheme for a single user, multi-channel system, e.g. orthogonal frequency- division multiplexing (OFDM) systems, under time-variant wireless fading channels. We assume the receiver feeds back perfectly estimated channel state information (CSI) to the transmitter after a processing delay. The objective of the power allocation is to maximize physical (PHY) layer throughput under quality-of- service (QoS) constraint. The QoS measure of our consideration is a triplet of data rate, delay, and delay bound violation probability. A two-step suboptimal power allocation scheme is proposed which addresses the imperfect CSI issue. In the first step, the total transmission power that can be used by one block is determined according to the summation of the channel gains of all the channels. In the second step, the total transmission power is allocated to all the channels. Compared to the optimal power allocation scheme designed for the perfect CSI scenario, the proposed power allocation scheme reduces the computation complexity significantly while achieves comparable performance.
Keywords
OFDM modulation; channel estimation; fading channels; probability; quality of service; radiocommunication; QoS; channel estimation; channel state information; computation complexity; delayed channel side; multichannel communication; orthogonal frequency-division multiplexing systems; physical layer; power allocation; probability; quality-of-service; time-variant wireless fading channels; Channel state information; Delay estimation; Fading; Feeds; OFDM; Physical layer; Radio spectrum management; State estimation; Throughput; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Communications and Networking Conference, 2009. CCNC 2009. 6th IEEE
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4244-2308-8
Electronic_ISBN
978-1-4244-2309-5
Type
conf
DOI
10.1109/CCNC.2009.4784740
Filename
4784740
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