Research Article
Multi-cell Joint Detection and Macrodiversity for TD-SCDMA Trunking System
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@INPROCEEDINGS{10.1007/978-3-642-30493-4_23, author={Xiaoxiang Shen and Hui Zhi and Shixiang Shao and Meiling Ding}, title={Multi-cell Joint Detection and Macrodiversity for TD-SCDMA Trunking System}, proceedings={Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers}, proceedings_a={WICON}, year={2012}, month={10}, keywords={TD-SCDMA trunking system multi-cell channel estimation multicell joint detection macro-diversity}, doi={10.1007/978-3-642-30493-4_23} }- Xiaoxiang Shen
Hui Zhi
Shixiang Shao
Meiling Ding
Year: 2012
Multi-cell Joint Detection and Macrodiversity for TD-SCDMA Trunking System
WICON
Springer
DOI: 10.1007/978-3-642-30493-4_23
Abstract
Broadcast transmission is used in the downlink for TD-SCDMA trunking systems in the same frequency and same time slot, so the MAI of multi-cell is very serious. In this paper, we discuss the classical joint detection algorithms used for interference suppression. Considering the characteristics of trunking system, we can consider multi-cell model as macro-diversity model, when users of target group are distributed in different cells. We simulate under three different channel models (described in section 2), and it is shown that joint detection and macro-diversity can significantly improve system performance. The impairing effect of error propagation on macro-diversity depends on the distribution of the target group.
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