机构地区:[1]School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China [2]Key Laboratory of Universal Wkeless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China [3]Automation School, Beijing University of Posts and Telecommunications, Beijing 100876, China
出 处:《The Journal of China Universities of Posts and Telecommunications》2011年第3期69-74,共6页中国邮电高校学报(英文版)
基 金:supported by the National Natural Science Foundation of China (60572120,60602058);the National Basic Research Program of China (2009CB320400);the Joint Funds of NSFC-Guangdong (U1035001);the Chinese Major Science and Technology Projects (2009ZX03007-004)
摘 要:Although multiple-input-multiple-output (MIMO) detection has received much research attention in the past years, to the author's knowledge, few detection methods demonstrate optimal/near-optimal performance with low complexity. This paper proposes to incorporate automatic retransmission request (ARQ) with sub-optimal MIMO detectors so as to achieve both favorable performance and low complexity. In the study, retransmission delay induced by ARQ is exploited as a source of improving the detection performance of low complexity algorithms. In particular, the detection performance of sub-optimal algorithms improved by introducing ARQ is analyzed theoretically. A sufficient condition for such scheme to achieve full-diversity performance is also derived which relates detection performance with number of transmission times. Moreover, throughput cost by retransmission is deduced as well as its lower bound. The zero-forcing (ZF) equalizer cooperating with ARQ, as a case study, is shown to have evident performance improvement through theoretical analysis. And numerical results are presented to verify the effectiveness of the proposed scheme which boosts the performance of sub-optimal detector and possesses lower implementation complexity for practical reality simultaneously.Although multiple-input-multiple-output (MIMO) detection has received much research attention in the past years, to the author's knowledge, few detection methods demonstrate optimal/near-optimal performance with low complexity. This paper proposes to incorporate automatic retransmission request (ARQ) with sub-optimal MIMO detectors so as to achieve both favorable performance and low complexity. In the study, retransmission delay induced by ARQ is exploited as a source of improving the detection performance of low complexity algorithms. In particular, the detection performance of sub-optimal algorithms improved by introducing ARQ is analyzed theoretically. A sufficient condition for such scheme to achieve full-diversity performance is also derived which relates detection performance with number of transmission times. Moreover, throughput cost by retransmission is deduced as well as its lower bound. The zero-forcing (ZF) equalizer cooperating with ARQ, as a case study, is shown to have evident performance improvement through theoretical analysis. And numerical results are presented to verify the effectiveness of the proposed scheme which boosts the performance of sub-optimal detector and possesses lower implementation complexity for practical reality simultaneously.
关 键 词:MIMO ARQ COMPLEXITY PERFORMANCE
分 类 号:TN957.51[电子电信—信号与信息处理] TN929.5[电子电信—信息与通信工程]
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