Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/9546
Title: | Traffic aware cell selection algorithm for Tetra Trunk based professional mobile radio | Authors: | Özbek, Berna Karataş, Azad Bardak, Erinç Deniz Sönmez, İlker |
Keywords: | Tetra Trunk Professional Mobile Radio Cell selection algorithms Traffic aware |
Publisher: | Springer Verlag | Abstract: | Load balancing and traffic management are the critical needs in cell selection decision for a better and seamless communication demands in professional mobile radios. For the cases where cell selection algorithms do not consider the traffic load, there may be call drops due to the congestion in networks or longer call setup times for the users. These undesired consequences can cause dramatic quality degradation especially for the emergency cases or public safety services. In this paper, we propose two algorithms for Tetra Trunk based professional mobile radios by considering both traffic load and received signal strength indication (RSSI) in order to reduce the significant delays while establishing transmissions. The proposed full set cell selection algorithm is prioritized to reduce the call setup time for the mobile users and the proposed reduced set cell selection algorithm is focused on minimizing the number of RSSI measurements which causes significant delay in practical professional mobile radio. We illustrate the performance results in terms of delay for Tetra Trunk based professional mobile radio. | URI: | https://doi.org/10.1007/s11235-018-00540-w https://hdl.handle.net/11147/9546 |
ISSN: | 1018-4864 1572-9451 |
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 |
Files in This Item:
File | Size | Format | |
---|---|---|---|
Özbek2019_Article_Traffic.pdf | 976.91 kB | Adobe PDF | View/Open |
CORE Recommender
Page view(s)
206
checked on Nov 18, 2024
Download(s)
190
checked on Nov 18, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.