Intelligent cell selection satisfying user requirements for inter-system handover in heterogeneous networks

Lee, Jongchan; Yoo, Seong-Moo

doi:10.1016/j.comcom.2012.06.014

Cited by 5 publications

(2 citation statements)

References 18 publications

(23 reference statements)

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“…[25][26][27][28]. Fuzzy logic is used when some of the criteria cannot be precisely obtained due to the complexity of the heterogeneous environment.…”

Section: Related Workmentioning

confidence: 99%

Performance evaluation of MADM-based methods for network selection in a multimedia wireless environment

2014

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As mobile devices have become more affordable, easy to use and powerful, the number of mobile users and their bandwidth demands have experienced a significant growth. Considering the rising popularity of power hungry applications (e.g., multimedia), battery power capacity is an important concern-as upgrades are not keeping up with the advances in other technologies (e.g., central processing unit and memory). Mobile users now demand better power and battery management techniques to prolong their mobile battery performance. This, together with the need for green information communications technology, provides motivation for researchers to develop energy efficient techniques to reduce the power consumption in next-generation wireless networks while meeting user's quality expectations. This paper conducts a realistic performance evaluation of a number of widely used multi attribute decision making (MADM)-based methods for network selection that aim at keeping the mobile users Always Best Connected anywhere and anytime. The main trade-off parameters considered include energy efficiency and user perceived quality levels for multimedia streaming. The energy consumption is modeled using real experimental results for an android mobile device. Similarly, the multimedia quality function was modeled using real user data, combined with a qualitative study to determine the resulting mean opinion scores. The performance analysis shows that the weighted multiplicative method (MEW) finds a better energy-quality trade-off for users in a heterogeneous wireless environment in comparison with three other MADM solutions.

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“…[25][26][27][28]. Fuzzy logic is used when some of the criteria cannot be precisely obtained due to the complexity of the heterogeneous environment.…”

Section: Related Workmentioning

confidence: 99%

Performance evaluation of MADM-based methods for network selection in a multimedia wireless environment

2014

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“…This model analyzes the possibility to exploit load balancing among BSs to improve backhaul capacity utilization. In [5], an intelligent cell selection has been handled to satisfy user's requirements as well as system requirements for inter system handover in heterogeneous networks. This procedure needs the aggregation functions based on fuzzy set theory.…”

Section: Introduction Rofessional Mobile Radio (Pmrmentioning

confidence: 99%

Load based cell selection algorithm for Tetra based professional mobile radio

Karatas

Özbek

Sonmez

et al. 2016

2016 24th Telecommunications Forum (TELFOR)

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This paper proposes a cell selection algorithm for Tetra based professional mobile radio systems where the users select the base station according to the proposed utility value. This utility value is determined by considering both cell load and received signal strength indicator. The main aim of the proposed method is to distribute the users in a balanced way among base stations. Based on performance evaluations, we illustrate that the proposed cell selection algorithm gives better results than Tetra based cell selection method in a manner of distribution of the users over all BSs while reducing waiting time for establishing connection.

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