Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/112363
DC Field | Value | |
---|---|---|
dc.title | Performance evaluation of an OFDM-based LMDS using measured channel models | |
dc.contributor.author | Ravi, K.V. | |
dc.contributor.author | Guo, D. | |
dc.contributor.author | Cheah, K.L. | |
dc.date.accessioned | 2014-11-28T05:00:23Z | |
dc.date.available | 2014-11-28T05:00:23Z | |
dc.date.issued | 2000 | |
dc.identifier.citation | Ravi, K.V.,Guo, D.,Cheah, K.L. (2000). Performance evaluation of an OFDM-based LMDS using measured channel models. 2000 IEEE Wireless Communications and Networking Conference : 1511-1515. ScholarBank@NUS Repository. | |
dc.identifier.isbn | 0780365968 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/112363 | |
dc.description.abstract | In this paper, the use of orthogonal frequency division multiplexing (OFDM) for LMDS is proposed and investigated. The studies here utilise statistical channel models derived from our earlier field measurements in Singapore and present more realistic assessment of the proposed system performance. The simulation model considers RS/CC coding, convolutional interleaving and multilevel QPSK/QAM signaling. Robust performance is demonstrated under realistic SNRs for a wide range of system conditions. Recommendations on the choice of a suitable set of OFDM parameters like FFT length and cyclic prefix are presented. The performance of the proposed scheme is also compared with that of an LMS equaliser-based system and shown to be superior under similar channel conditions. | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | CENTRE FOR WIRELESS COMMUNICATIONS | |
dc.description.sourcetitle | 2000 IEEE Wireless Communications and Networking Conference | |
dc.description.page | 1511-1515 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
Show simple item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.