Performance of a turbo-coded downlink IDMA system using transmitter pre-processing. (July 2016)
- Record Type:
- Journal Article
- Title:
- Performance of a turbo-coded downlink IDMA system using transmitter pre-processing. (July 2016)
- Main Title:
- Performance of a turbo-coded downlink IDMA system using transmitter pre-processing
- Authors:
- Rajmohan, R.
Vishvaksenan, K.S.
Mira, M.
Subramanian, Sudharssun - Abstract:
- Highlights: We investigate the BER performance of turbo coded IDMA system using transmitter pre-processing for DL transmission. Performance is analyzed using ZF-MUTP when communicating over SUI and LTE channel models specifications. BER Performance is compared for ZF-MUTP assisted IDMA system considering both an equal power approach and a maximum-signal-to-noise ratio (MSNR) approach. Coded IDMA system with MUTP based on MSNR power allocation regime results in a superior BER performance with less SNR when compared to the equal power allocation policy. Abstract: In this study, we investigate the bit error rate (BER) performance of a multi-user transmitter pre-processing (MUTP) aided, turbo-coded interleave division multiple access (IDMA) scheme over correlated frequency-selective channels for downlink (DL) communication. We realize MUTP using a zero forcing (ZF) approach. Further, we build the pre-processing matrix using the channel state information of all of the active users. To be specific, we evaluate the BER performance of a coded ZF-MUTP assisted IDMA system for a realistic channel model based on Stanford University Interim channel and Long term Evolution channel specifications; the MUTP is based on both an equal power approach and a maximum-signal-to-noise ratio (MSNR) approach. From our simulation results, we observe that our considered system with a MSNR power allocation regime provides better performance in terms of the achievable BER than the equal power approach,Highlights: We investigate the BER performance of turbo coded IDMA system using transmitter pre-processing for DL transmission. Performance is analyzed using ZF-MUTP when communicating over SUI and LTE channel models specifications. BER Performance is compared for ZF-MUTP assisted IDMA system considering both an equal power approach and a maximum-signal-to-noise ratio (MSNR) approach. Coded IDMA system with MUTP based on MSNR power allocation regime results in a superior BER performance with less SNR when compared to the equal power allocation policy. Abstract: In this study, we investigate the bit error rate (BER) performance of a multi-user transmitter pre-processing (MUTP) aided, turbo-coded interleave division multiple access (IDMA) scheme over correlated frequency-selective channels for downlink (DL) communication. We realize MUTP using a zero forcing (ZF) approach. Further, we build the pre-processing matrix using the channel state information of all of the active users. To be specific, we evaluate the BER performance of a coded ZF-MUTP assisted IDMA system for a realistic channel model based on Stanford University Interim channel and Long term Evolution channel specifications; the MUTP is based on both an equal power approach and a maximum-signal-to-noise ratio (MSNR) approach. From our simulation results, we observe that our considered system with a MSNR power allocation regime provides better performance in terms of the achievable BER than the equal power approach, while offering a low complexity receiver for DL transmission. Graphical abstract: … (more)
- Is Part Of:
- Computers & electrical engineering. Volume 53(2016)
- Journal:
- Computers & electrical engineering
- Issue:
- Volume 53(2016)
- Issue Display:
- Volume 53, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 53
- Issue:
- 2016
- Issue Sort Value:
- 2016-0053-2016-0000
- Page Start:
- 385
- Page End:
- 393
- Publication Date:
- 2016-07
- Subjects:
- Interleave division multiple access (IDMA) -- Multi-user interference (MUI) -- Multi- stream interference (MSI) -- Multi-user transmitter pre-processing (MUTP) -- Stanford university interim (SUI) channel model -- Singular value decomposition (SVD)
Computer engineering -- Periodicals
Electrical engineering -- Periodicals
Electrical engineering -- Data processing -- Periodicals
Ordinateurs -- Conception et construction -- Périodiques
Électrotechnique -- Périodiques
Électrotechnique -- Informatique -- Périodiques
Computer engineering
Electrical engineering
Electrical engineering -- Data processing
Periodicals
Electronic journals
621.302854 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00457906/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compeleceng.2015.11.029 ↗
- Languages:
- English
- ISSNs:
- 0045-7906
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.680000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7909.xml