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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
Issue Date: 2018
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
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

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