Conference Paper

Network Selection Issue in Heterogeneous Wireless Environment.

DOI: 10.1109/WCNC.2010.5506497 Conference: 2010 IEEE Wireless Communications and Networking Conference, WCNC 2010, Proceedings, Sydney, Australia, 18-21 April 2010
Source: DBLP

ABSTRACT Network selection is one of the key issues in heterogeneous wireless networks. However, very few efforts have been made on both algorithm and management of network selection to satisfy the individual requirements of every single user, so as to attract customers in the future user centric business mode. This paper takes the following steps toward addressing this problem: 1) a novel user preference oriented network selection algorithm (UPNS) is proposed, by combining entropy theory and fuzzy analytic hierarchy process algorithm (FAHP); 2) a service level agreement (SLA) management model is designed for network selection control in heterogeneous wireless environment, mainly including the general function descriptions and a management model instance based on UPNS. Application scenario of the UPNS based instance is simulated. Results show its efficiency in satisfying users' individuality and maintaining user satisfaction.

0 Followers
 · 
63 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: The access network selection is important for the service delivery in a heterogeneous wireless environment. On the other hand, network coding can improve the transmission efficiency of wireless broadcasting. In this paper, we propose a network selection approach in the heterogeneous wireless broadcasting environment, whose key ideas are to combine the network selection with network coding and achieve a fast selection. Both theoretical analysis and simulation results show that the performance of our proposed approach is very close to the optimal approach based on network coding, but much faster. And our approach has a higher transmission rate compared with existing approaches.
    Communication Technology (ICCT), 2011 IEEE 13th International Conference on; 01/2011
  • [Show abstract] [Hide abstract]
    ABSTRACT: Heterogeneous network selection is a popular topic with the rapid development of telecommunication technologies. Literatures employed different ways for solving the issue with drawbacks more or less especially neglecting the user preference and using much subjective configurations. This paper proposes a user preference scheme including realtime or non-realtime pursuit, money and battery consumption concern and non-specific requirement. For front four modes, a technique for order preference by similarity to ideal solution based method with vote which reduces the subjectiveness is introduced. Then, a function-less and totally unsubjective method called directional distance function based data envelopment analysis method faces the non-specific requirement. Several examples test these two methods and the results support them.
    Wireless Personal Communications 06/2014; 76(4):813-828. DOI:10.1007/s11277-014-1627-0 · 0.98 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: In wireless communication, new radio access technologies are emerging, capable of supporting larger coverage area and faster data rates. In a wireless heterogeneous environment consisting of disparate radio access technologies, selection of the best network is an important research issue. In this paper, we propose a novel network selection algorithm for a heterogeneous environment consisting of WiMAX and LTE standard. The proposed algorithm is based on received signal strength, signal to noise ratio, available bit rate, achievable throughput and bit error rate. Relative weights of the decision making attributes are optimized by employing particle swarm optimization approach. The number of satisfied users calculated (as per their demand with wireless network selected) by proposed algorithm is optimized by modified PSO and confirmed by Monte Carlo method. From the simulation results it is inferred that the number satisfied users while running multimedia applications has been improved by 50 % as compared to the existing network selection algorithms.
    Wireless Personal Communications 01/2015; DOI:10.1007/s11277-015-2402-6 · 0.98 Impact Factor