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

By Leijia Wu, Kumbesan Sandrasegaran

This e-book discusses the fundamental inspiration of universal Radio source administration (CRRM), in particular at the Radio entry applied sciences choice a part of CRRM. It introduces interplay capabilities (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 diversified Radio entry applied sciences choice algorithms, together with unmarried criterion and a number of standards established algorithms are awarded and compares them. eventually, the e-book analyses the benefits and drawbacks of the several choice algorithms.

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Network operators can select the most suitable solution according to system load estimation. For example, during busy hours, the IN*VG*Load algorithm can be used while the second algorithm can be used at other times. 4 kbps? 2 Variations of NCCB Algorithm Two variations of the NCCB algorithm were introduced in [7]. One is called NCCBvoice, where the NCCB policy is only applied for voice users while interactive users follow the VG policy. Another is called VG-NCCB, where the low path loss users follow the VG policy and high path loss users are always allocated to GERAN first.

Sallent, R. Agustí, A novel metric for context-aware RAT selection in wireless multi-access systems, in The IEEE International Conference on Communications, 2007(ICC’07), Glasgow, June 2007, pp. 5622–5627 References 33 9. O. Sallent, J. Pérez-Romero, R. Ljung, P. Karlsson, A. Barbaresi, Operator’s RAT selection policies based on the fittingness factor concept, in The 16th IST Mobile and Wireless Communications Summit, Budapest, July 2007, pp. 1–5 10. J. Pérez-Romero, O. Sallent, A. Umbert, A. Barbaresi, R.

It decides the serving RAT according to a list of parameters: service type, RAT load, mobility and location prediction information, and service cost. An assumption made by Hasib is that the user location information can be predicted. The initial RAT selection algorithm works as follows. If a user is predicted to remain in a hotspot area during a session time, WLAN is the preferred RAT. If a user is expected to exit the hotspot during a session time, service type and network load factors are then considered for RAT selection.

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