Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

Optimal Slot Allocation Method for ITE Systems

Authors
Bin Zeng, Rui Wang
Corresponding Author
Bin Zeng
Available Online December 2016.
DOI
10.2991/icwcsn-16.2017.41How to use a DOI?
Keywords
Long term evolution; Optimal algorithm; Slot allocation; Markov Chain Model
Abstract

To achieve better performance and bandwidth in the mobile communication, some vendors have already introduced LTE service. The following issues concerning LTE such as performance estimation, throughput analysis, quality of service, voice/data integration are of great interest for deep research. Therefore, a mathematical model for finding the best policy of slot allocation is proposed. Since channels (or slots) are shared by data and voice users and can be dynamically allocated to LTE users, there must be a lot of policies can be applied to do this. The system revenue under some assumption will be maximized in this scheduling method. The mathematical formulation and solution approach for this problem is also discussed. And some computational results are given finally.

Copyright
© 2017, 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 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
10.2991/icwcsn-16.2017.41How to use a DOI?
Copyright
© 2017, 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  - Bin Zeng
AU  - Rui Wang
PY  - 2016/12
DA  - 2016/12
TI  - Optimal Slot Allocation Method for ITE Systems
BT  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 189
EP  - 192
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.41
DO  - 10.2991/icwcsn-16.2017.41
ID  - Zeng2016/12
ER  -