DocumentCode :
2379015
Title :
Self-organized resource allocation in LTE systems with weighted proportional fairness
Author :
I-Hong Hou ; Chung Shue Chen
Author_Institution :
Comput. Eng. & Syst. Group & Dept. of ECE, Texas A&M Univ., College Station, TX, USA
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
5348
Lastpage :
5353
Abstract :
We consider the problem of LTE network self organization and optimization of resource allocation. One particular challenge for LTE systems is that, by applying OFDMA, a transmission may use multiple resource blocks scheduled over the frequency and time. There are three key components involved in the resource allocation and network optimization: resource block scheduling, power control, and client association. We propose a distributed protocol that aims to achieve weighted proportional fairness (WPF) among clients by jointly consider them. The cross-layer design includes: (i) an optimal online policy for resource block scheduling, (ii) a heuristic for transmit power control, and (iii) a selfish strategy for client association. The proposed scheme only requires limited local information exchange and thus can be easily implemented for large networks. Simulation results have shown its effectiveness in both the system throughput and user fairness.
Keywords :
Long Term Evolution; OFDM modulation; frequency division multiple access; power control; protocols; LTE network self organization; LTE systems; OFDMA; client association; cross layer design; distributed protocol; multiple resource block; network optimization; optimal online policy; resource allocation optimization; resource block scheduling; self-organized resource allocation; selfish strategy; transmit power control; weighted proportional fairness; Base stations; Interference; Optimization; Power control; Resource management; Scheduling; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
ISSN :
1550-3607
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2012.6364444
Filename :
6364444
Link To Document :
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