An Intelligent Priority Resource Allocation Scheme for LTE-A Downlink Systems

被引：13

作者：

Chung, Wen-Ching ^{[1
]}

Chang, Chung-Ju ^{[1
]}

Wang, Li-Chun ^{[1
]}

机构：

[1] Natl Chiao Tung Univ, Dept Elect & Comp Engn, Hsinchu 300, Taiwan

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2012年 / 1卷 / 03期

关键词：

Resource allocation; fuzzy inference; LTE-A; OFDMA; MIMO; QoS; fairness;

D O I：

10.1109/WCL.2012.033012.120146

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose an intelligent priority resource allocation (iPRA) scheme for long term evolution-advanced (LTE-A) downlink systems with multimedia traffic. The iPRA scheme intelligently computes priorities for users by using fuzzy inference system so as to enhance system throughput and attain high Jain fairness index while guarantee QoS requirements. Simulation results show that the iPRA scheme can achieve higher system throughput and better QoS requirement guarantee than conventional radio resource allocation schemes in high traffic load, while attains a rather large Jain fairness index.

引用

页码：241 / 244

页数：4

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