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Download A Study on Radio Access Technology Selection Algorithms by Leijia Wu, Kumbesan Sandrasegaran PDF

By Leijia Wu, Kumbesan Sandrasegaran

ISBN-10: 3642293980

ISBN-13: 9783642293986

ISBN-10: 3642293999

ISBN-13: 9783642293993

This publication discusses the fundamental proposal of universal Radio source administration (CRRM), in particular at the Radio entry applied sciences choice a part of CRRM. It introduces interplay services (information reporting functionality and RRM determination aid functionality) and 4 interplay levels (from low to very excessive) of CRRM. 4 attainable CRRM topologies (CRRM server, built-in CRRM, Hierarchical CRRM, and CRRM in person terminals) are defined. The publication offers varied Radio entry applied sciences choice algorithms, together with unmarried criterion and a number of standards established algorithms are offered and compares them. eventually, the e-book analyses the benefits and drawbacks of the several choice algorithms.

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A Study on Radio Access Technology Selection Algorithms

This booklet discusses the elemental proposal of universal Radio source administration (CRRM), specifically at the Radio entry applied sciences choice a part of CRRM. It introduces interplay features (information reporting functionality and RRM selection help functionality) and 4 interplay levels (from low to very excessive) of CRRM.

Extra resources for A Study on Radio Access Technology Selection Algorithms

Example text

However, this algorithm has its shortcomings too. First of all, the equation [(Eq. 10)] being used to calculate the overall fittingness factor is incorrect. For radio communications, a call is accepted only when it meets both uplink and downlink requirements. The fittingness factor should be 0 if either the uplink or the downlink requirements are not satisfied. 12) i, p,s, j (K j ) = ⎩ (1 − α p,s ) DL ,i, p,s, j (K j ), if not. The second problem of this algorithm is that it does not consider RAT load when calculating the fittingness factor.

Zhang, Handover decision using fuzzy MADM in heterogeneous networks, in IEEE Wireless Communications and Networking Conference (WCNC 2004) 25. M. Alkhawlani, A. Hussein, Intelligent radio network selection for next generation networks, in The 7th International Conference on Informatics and Systems (INFOS 2010), Cairo, March 2010, pp. 28–30 26. M. Alkhawlani, A. Hussein, Radio network selection for tight-coupled wireless networks, in The 7th International Conference on Informatics and Systems (INFOS) Cairo, March 2010, pp.

In these algorithms, a service request is only blocked when both of the two policies are violated so that the blocking probability can be significantly reduced. 1 compares the differences among the three two-complex algorithms in terms of RAT selection priority. Simulation results in [2] prove that VG*IN and VG*VU algorithms outperform the IN*VG algorithm when the number of data calls are much higher than the number of voice calls. This is because in the IN*VG algorithm, a higher number of indoor interactive calls are allocated to GERAN, which causes higher delay and lower throughput.

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A Study on Radio Access Technology Selection Algorithms by Leijia Wu, Kumbesan Sandrasegaran


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