Use este identificador para citar ou linkar para este item:
http://repositorio.ufc.br/handle/riufc/4099
Tipo: | Artigo de Evento |
Título: | Multiuser CoMP transmit processing with statistical channel state information at the transmitter |
Autor(es): | Sousa, Lígia Maria Carvalho Maciel, Tarcísio Ferreira Cavalcante, Charles Casimiro |
Palavras-chave: | Teleinformática;Comunicação sem fio |
Data do documento: | 2010 |
Instituição/Editor/Publicador: | International Symposium on Wireless Communication Systems |
Citação: | SOUSA, L. M. C. ; MACIEL, T. F. ; CAVALCANTE, C. C. Multiuser CoMP transmit processing with statistical channel state information at the transmitter. In: INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS, 7., 2010, New York. Anais... New York: ISWCS, 2010, p. 194-198 |
Abstract: | Coordinated Multi-Point (CoMP) transmission/ reception is a candidate technique for increasing cell-average and cell-edge throughputs in next-generation wireless systems. Joint Processing (JP) can enhance CoMP systems’ performance, mainly employing precoding algorithms based on channel state information at the transmitter (CSIT). Currently, many research efforts focus on reducing feedback and optimizing precoding with partial CSIT. This paper proposes a model to approximate the downlink multiuser CoMP channel based on the channel statistics and taking into account the channel temporal variation. The proposed model is relatively simple, highly reduces feedback overheads, and might be employed to perform precoding. Compared to using linear precoding with instantaneous CSIT, results show that throughput losses are negligible for low SNR values and moderate for high SNR values when using the proposed model. Analyses considering users all over the cell and in the cell-edge are also presented. |
URI: | http://www.repositorio.ufc.br/handle/riufc/4099 |
Aparece nas coleções: | DETE - Trabalhos apresentados em eventos |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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2010_eve_cccavalcante multiuser.pdf | 271,78 kB | Adobe PDF | Visualizar/Abrir |
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