TY - GEN
T1 - Adaptive resource allocation with rate proportionality tracking in OFDMA systems
AU - Han, Seungyoup
AU - Kim, Sungtae
AU - Oh, Eunsung
AU - Hong, Daesik
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2007
Y1 - 2007
N2 - A new adaptive resource allocation scheme is proposed in orthogonal frequency-division multiple access (OFDMA) systems with rate proportionality constraints. The problem of maximizing the overall system capacity with constraints on bit-error rate, total transmission power and rate-proportionality for user requiring different classes of service is formulated. Since the optimal solution to the constrained fairness problem is extremely complex to obtain, a low-complexity suboptimal algorithm that separates subchannel allocation and power allocation is proposed. Firstly, the number of subchannels to be assigned to each user is determined based on the users' average signal-to-noise ratio and rate-proportion. Subchannels are subsequently distributed according to the modified max-min criterion. Lastly, iterative rateproportionality tracking algorithm is proposed for maximizing the capacity together with maintaining the rate proportionality constraint. Simulation results demonstrate that the proposed method can distribute the capacity more efficiently and fairly among users than other existing method.
AB - A new adaptive resource allocation scheme is proposed in orthogonal frequency-division multiple access (OFDMA) systems with rate proportionality constraints. The problem of maximizing the overall system capacity with constraints on bit-error rate, total transmission power and rate-proportionality for user requiring different classes of service is formulated. Since the optimal solution to the constrained fairness problem is extremely complex to obtain, a low-complexity suboptimal algorithm that separates subchannel allocation and power allocation is proposed. Firstly, the number of subchannels to be assigned to each user is determined based on the users' average signal-to-noise ratio and rate-proportion. Subchannels are subsequently distributed according to the modified max-min criterion. Lastly, iterative rateproportionality tracking algorithm is proposed for maximizing the capacity together with maintaining the rate proportionality constraint. Simulation results demonstrate that the proposed method can distribute the capacity more efficiently and fairly among users than other existing method.
UR - http://www.scopus.com/inward/record.url?scp=34547332752&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34547332752&partnerID=8YFLogxK
U2 - 10.1109/VETECS.2007.621
DO - 10.1109/VETECS.2007.621
M3 - Conference contribution
AN - SCOPUS:34547332752
SN - 1424402662
SN - 9781424402663
T3 - IEEE Vehicular Technology Conference
SP - 3031
EP - 3035
BT - 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring
T2 - 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring
Y2 - 22 April 2007 through 25 April 2007
ER -