Multi-cell channel estimation and multi-cell joint detection in TD-SCDMA system

2010 IEEE International Conference on Wireless Communications, Networking and Information Security Pub Date : 2010-06-25 DOI:10.1109/WCINS.2010.5541750

Xiang Zhang, Wenbo Wang, Shuping Chen, Chunyi Wang

{"title":"Multi-cell channel estimation and multi-cell joint detection in TD-SCDMA system","authors":"Xiang Zhang, Wenbo Wang, Shuping Chen, Chunyi Wang","doi":"10.1109/WCINS.2010.5541750","DOIUrl":null,"url":null,"abstract":"In Time Division-Synchronous Code Division Multiple Access (TD-SCDMA) system, the Steiner algorithm is used to perform channel estimation for the serving cell based upon the midamble in each timeslot, and joint detection (JD) is employed to eliminate intra-cell interference for both uplink and downlink. However, since single-cell JD (SJD) only deals with intra-cell interference and is not able to cancel out inter-cell interference, the users on cell edge typically achieve much worse link performance than those near the base station. Therefore, multi-cell JD (MJD) is proposed to further mitigate inter-cell interference. In this paper, the performance of multi-cell channel estimation (MCE) and multi-cell joint detection (MJD) techniques for TD-SCDMA evolved downlink are investigated and analyzed. It is shown that minimum mean-square-error (MMSE) multi-cell channel estimator and MMSE multi-cell equalizer can reduce downlink block error ratio (BLER) for the users both on the cell center and on the cell edge.","PeriodicalId":156036,"journal":{"name":"2010 IEEE International Conference on Wireless Communications, Networking and Information Security","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Wireless Communications, Networking and Information Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCINS.2010.5541750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 8

Abstract

In Time Division-Synchronous Code Division Multiple Access (TD-SCDMA) system, the Steiner algorithm is used to perform channel estimation for the serving cell based upon the midamble in each timeslot, and joint detection (JD) is employed to eliminate intra-cell interference for both uplink and downlink. However, since single-cell JD (SJD) only deals with intra-cell interference and is not able to cancel out inter-cell interference, the users on cell edge typically achieve much worse link performance than those near the base station. Therefore, multi-cell JD (MJD) is proposed to further mitigate inter-cell interference. In this paper, the performance of multi-cell channel estimation (MCE) and multi-cell joint detection (MJD) techniques for TD-SCDMA evolved downlink are investigated and analyzed. It is shown that minimum mean-square-error (MMSE) multi-cell channel estimator and MMSE multi-cell equalizer can reduce downlink block error ratio (BLER) for the users both on the cell center and on the cell edge.

查看原文本刊更多论文

TD-SCDMA系统中多小区信道估计与多小区联合检测

在时分-同步码分多址(TD-SCDMA)系统中，基于每个时隙的中间信号，采用斯坦纳算法对服务小区进行信道估计，并采用联合检测(JD)消除上行和下行链路的小区内干扰。然而，由于单蜂窝JD (SJD)只能处理小区内的干扰，而不能消除小区间的干扰，因此小区边缘的用户通常比基站附近的用户获得更差的链路性能。因此，提出了多细胞JD (MJD)来进一步减轻细胞间干扰。本文对TD-SCDMA演进下行链路中多小区信道估计(MCE)和多小区联合检测(MJD)技术的性能进行了研究和分析。结果表明，最小均方误差(MMSE)多小区信道估计器和最小均方误差(MMSE)多小区均衡器可以降低用户在小区中心和小区边缘的下行分组误差率(BLER)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2010 IEEE International Conference on Wireless Communications, Networking and Information Security

自引率

0.00%

发文量