Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Symbol error rate analysis of DMIMO antenna systems in linear cell

Authors
Rongrong Xu, Yueheng Li, Ping Huang, Meiyan Ju, Guoping Tan
Corresponding Author
Rongrong Xu
Available Online March 2016.
DOI
10.2991/icmmct-16.2016.243How to use a DOI?
Keywords
Linear cell, Distributed MIMO systems, Symbol error rate, Composite channel
Abstract

In this paper, the symbol error rate of distributed MIMO antenna systems in a linear cell is analyzed. Firstly, a composite channel model which includes the fast fading, shadow fading and path loss is established. Then, a closed form expression of symbol error rate for point-to-point downlink MIMO communication system under higher signal-to-noise ratio (SNR) is deduced. Next, by considering the nonuniform distribution of a mobile station, the closed form expression of average symbol error rate in the whole cell is further derived. Numerical results show that the theoretical expressions derived in this paper can match the actual system performance well.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
10.2991/icmmct-16.2016.243
ISSN
2352-5401
DOI
10.2991/icmmct-16.2016.243How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Rongrong Xu
AU  - Yueheng Li
AU  - Ping Huang
AU  - Meiyan Ju
AU  - Guoping Tan
PY  - 2016/03
DA  - 2016/03
TI  - Symbol error rate analysis of DMIMO antenna systems in linear cell
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1236
EP  - 1241
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.243
DO  - 10.2991/icmmct-16.2016.243
ID  - Xu2016/03
ER  -