DocumentCode :
3073753
Title :
Optimal Asymmetric Resource Allocation for Multi-Relay Based LTE-Advanced Systems
Author :
Dong, Linhao ; Zhu, Xu ; Huang, Yi
Author_Institution :
Dept. of Electr. Eng. & Electron., Univ. of Liverpool, Liverpool, UK
fYear :
2011
fDate :
5-9 Dec. 2011
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we propose a novel asymmetric resource allocation (RA) scheme for the decode-and-forward (DF) multi-relay based Long Term Evolution Advanced (LTE-Advanced) system, with the orthogonal frequency division multiplexing (OFDM) modulation. Given a fixed total transmit time duration, the time slot durations for the two hops via each of the K relays are designed to be asymmetric, which increases the degree of freedom for transmission significantly. We propose an optimal algorithm to maximise the system capacity, with joint asymmetric time allocation, power allocation, and subcarrier selection/allocation. Simulation results show that the proposed asymmetric RA scheme provides an enhanced performance over algorithms with symmetric time slot allocation, and it is also robust against the variation of relay nodes´ locations.
Keywords :
Long Term Evolution; OFDM modulation; decode and forward communication; resource allocation; decode and forward multirelay based long term evolution advanced system; joint asymmetric time allocation; multirelay based LTE-advanced systems; optimal algorithm; optimal asymmetric resource allocation; orthogonal frequency division multiplexing modulation; power allocation; subcarrier selection/allocation; symmetric time slot allocation; system capacity; time slot duration; Bandwidth; Equations; OFDM; Peer to peer computing; Relays; Resource management; Strontium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
ISSN :
1930-529X
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2011.6133812
Filename :
6133812
Link To Document :
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