Performance of limited feedback MU-MIMO in distributed antenna systems with different schedulers
Distributed antenna system (DAS) acts as an effective solution to mitigating interference and path-loss by decreasing the access distance for users, and increases the cell coverage and system capacity as well. This study evaluates performance of scheduling methods on the DAS where practical system c...
Published in: | 2013 IEEE 11th Malaysia International Conference on Communications, MICC 2013 |
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2-s2.0-84901265759 Behjati M.; Ismail M.; Ibrahim M. Performance of limited feedback MU-MIMO in distributed antenna systems with different schedulers 2013 2013 IEEE 11th Malaysia International Conference on Communications, MICC 2013 10.1109/MICC.2013.6805878 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901265759&doi=10.1109%2fMICC.2013.6805878&partnerID=40&md5=c37912074b41a2ae519655e5415af8f5 Distributed antenna system (DAS) acts as an effective solution to mitigating interference and path-loss by decreasing the access distance for users, and increases the cell coverage and system capacity as well. This study evaluates performance of scheduling methods on the DAS where practical system constraints are considered, such as path-loss, out-of-cell interference and limited feedback. Zero-forcing multiuser MIMO precoding is utilized as downlink transmission strategy, when imperfect channel state information is available at the transmitter. System performance is evaluated by empirical cumulative density functions of the cell throughput, where a long-term evolution advanced (LTE-A) standard compliant simulator is utilized for simulation. It is demonstrated that by spreading the transmit antennas throughout the cell more cell throughput is achievable. Moreover, by utilizing an appropriate scheduling algorithm, more potential of DAS can be extracted and leads to substantial cell throughput. © 2013 IEEE. IEEE Computer Society English Conference paper |
author |
Behjati M.; Ismail M.; Ibrahim M. |
spellingShingle |
Behjati M.; Ismail M.; Ibrahim M. Performance of limited feedback MU-MIMO in distributed antenna systems with different schedulers |
author_facet |
Behjati M.; Ismail M.; Ibrahim M. |
author_sort |
Behjati M.; Ismail M.; Ibrahim M. |
title |
Performance of limited feedback MU-MIMO in distributed antenna systems with different schedulers |
title_short |
Performance of limited feedback MU-MIMO in distributed antenna systems with different schedulers |
title_full |
Performance of limited feedback MU-MIMO in distributed antenna systems with different schedulers |
title_fullStr |
Performance of limited feedback MU-MIMO in distributed antenna systems with different schedulers |
title_full_unstemmed |
Performance of limited feedback MU-MIMO in distributed antenna systems with different schedulers |
title_sort |
Performance of limited feedback MU-MIMO in distributed antenna systems with different schedulers |
publishDate |
2013 |
container_title |
2013 IEEE 11th Malaysia International Conference on Communications, MICC 2013 |
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doi_str_mv |
10.1109/MICC.2013.6805878 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901265759&doi=10.1109%2fMICC.2013.6805878&partnerID=40&md5=c37912074b41a2ae519655e5415af8f5 |
description |
Distributed antenna system (DAS) acts as an effective solution to mitigating interference and path-loss by decreasing the access distance for users, and increases the cell coverage and system capacity as well. This study evaluates performance of scheduling methods on the DAS where practical system constraints are considered, such as path-loss, out-of-cell interference and limited feedback. Zero-forcing multiuser MIMO precoding is utilized as downlink transmission strategy, when imperfect channel state information is available at the transmitter. System performance is evaluated by empirical cumulative density functions of the cell throughput, where a long-term evolution advanced (LTE-A) standard compliant simulator is utilized for simulation. It is demonstrated that by spreading the transmit antennas throughout the cell more cell throughput is achievable. Moreover, by utilizing an appropriate scheduling algorithm, more potential of DAS can be extracted and leads to substantial cell throughput. © 2013 IEEE. |
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IEEE Computer Society |
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English |
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Scopus |
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1809678488581439488 |