DocumentCode
3360580
Title
Reducing feedback load for proportional fair scheduling in MIMO OFDM systems
Author
Wenxiu Zhao ; Tiankui Zhang ; Zhimin Zeng ; Weidong Ning ; Yu Ngok ; Ruyue Li
Author_Institution
Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2012
fDate
11-13 Jan. 2012
Firstpage
400
Lastpage
404
Abstract
A feedback reduction scheme is proposed in multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. The proposed scheme can reduce the feedback load of channel quality indicator (CQI) required for proportional fair scheduling at base station (BS). The probability distributions of instantaneous rate and average rate are studied. Then the distribution of proportional fair (PF) priority is obtained. Each user predicts the probability of being scheduled on the condition that its own PF priority is known. To reduce the amount of feedback load, a hard threshold of PF probability is designed for the CQI feedback reduction. This threshold is broadcast to all the users and only the users whose instantaneous PF priorities are higher than the threshold will feed back the CQI. The amount of feedback load saved by implementing the hard threshold is determined and the effect on the system throughput is analyzed. The simulation results show that the proposed scheme can reduce the feedback overhead while minimize the throughput loss.
Keywords
MIMO communication; OFDM modulation; feedback; probability; scheduling; wireless channels; BS; CQI; MIMO OFDM system; PF probability; PF scheduling; base station; channel quality indicator; feedback load reduction scheme; multiinput multioutput orthogonal frequency division multiplexing system; proportional fair scheduling; throughput loss minimization; Feeds; Interference; Load modeling; MIMO; Probability distribution; Signal to noise ratio; Throughput; limited feedback; proportional fair; reducing feedback;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communications and Applications Conference (ComComAp), 2012
Conference_Location
Hong Kong
Print_ISBN
978-1-4577-1717-8
Type
conf
DOI
10.1109/ComComAp.2012.6154881
Filename
6154881
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