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

By Leijia Wu, Kumbesan Sandrasegaran

This publication discusses the fundamental proposal of universal Radio source administration (CRRM), particularly at the Radio entry applied sciences choice a part of CRRM. It introduces interplay features (information reporting functionality and RRM choice 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 consumer terminals) are defined. The e-book provides diverse Radio entry applied sciences choice algorithms, together with unmarried criterion and a number of standards dependent algorithms are provided and compares them. ultimately, the e-book analyses the benefits and downsides of different choice algorithms.

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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.

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. Simulation results in [7] prove that the NCCB algorithm performs better than NCCBvoice and VG-NCCB algorithms in terms of uplink BLER.

Giupponi, R. Agustí, J. Pérez-Romero, O. Sallent, A novel joint radio resource management approach with reinforcement learning mechanisms, in 24th IEEE International Performance, Computing, and Communications Conference (IPCCC), April 2005, pp. 621–626 20. C. Lin, C. Lee, Neural-Network-Based Fuzzy Logic Control and Decision System. IEEE Trans. Comput. 40(12), 1320–1336 (1991) 21. K. Lo, C. Shung, A Neural Fuzzy Resource Manager for Hierarchical Cellular Systems Supporting Multimedia Services. IEEE Trans.

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