Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/7222
Title: | Cell load based user association for professional mobile radio systems | Authors: | Yılmaz, Saadet Simay Özbek, Berna Taş, Murat Bengür, Sıdıka |
Keywords: | Mobile radio systems Cellular neural networks Digital radio Load information |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Source: | Yılmaz, Saadet S., Özbek, B., Taş, M., and Bengür, S. (2017). Cell load based user association for professional mobile radio systems. Paper presented at the 10th International Conference on Electrical and Electronics Engineering, ELECO 2017, Bursa, 29 November-2 December (pp.651-655). | Abstract: | When the public communication networks can not provide service during disaster and high traffic cases, Professional Mobile Radio systems (PMR) such as trunked Digital Mobile Radio (DMR) systems are needed to improve the service quality and to provide uninterrupted service to the public safety officers. While providing continuous voice and data service, it is very important to select the base station (BS) to be served by efficient cell selection algorithms. The aim of the user association algorithms is to reduce the waiting time while establishing reliable transmission link for PMR systems in emergencies. In this sense, we propose the full set user association algorithm that each user selects the BS according to the calculated utility value determined based on both received signal strength indicator (RSSI) value and cell load information. The performance of the proposed algorithm is evaluated by considering different performance metrics for trunked DMR systems in urban area. | Description: | 10th International Conference on Electrical and Electronics Engineering, ELECO 2017; Bursa; Turkey; 29 November 2017 through 2 December 2017 | URI: | https://hdl.handle.net/11147/7222 |
Appears in Collections: | Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
1
checked on Nov 29, 2024
WEB OF SCIENCETM
Citations
1
checked on Nov 9, 2024
Page view(s)
236
checked on Dec 2, 2024
Download(s)
82
checked on Dec 2, 2024
Google ScholarTM
Check
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.