NDLI: Integrated Common Radio Resource Management with Spectrum Aggregation Over Non-Contiguous Frequency Bands

Content Provider	Springer Nature Link
Author	Cabral, O. Meucci, F. Mihovska, A. Velez, F. J. Prasad, N. R. Prasad, R.
Copyright Year	2011
Abstract	This paper proposes an Integrated Common Radio Resource Management (iCRRM). The iCRRM performs classic CRRM functionalities jointly with Spectrum Aggregation (SA), being able to switch users between non-contiguous frequency bands. The SA scheduling is obtained with an optimised General Multi-Band Scheduling algorithm with the aim of cell throughput maximisation. In particular, we investigate the dependence of the throughput on the cell coverage distance for the allocation of users over the 2 and 5 GHz bands for a single operator scenario under a constant average Signal to Interference-plus-Noise Ratio. For the performed evaluation, the same type of Radio Access Technology is considered for both frequency bands. The operator has the availability of a non-shared 2 GHz band and has access to part (or all) of a shared frequency band at 5 GHz. The performance gain, analysed in terms of data throughput, depends on the channel quality for each user in the considered bands which, in turn, is a function of the path loss, interference, noise, and the distance from the Base Station. An almost constant gain near 30% was obtained with the proposed optimal solution compared to a system where users are first allocated in one of the two bands and later not able to handover between the bands.
Starting Page	499
Ending Page	523
Page Count	25
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	59
Issue Number	3
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2011-02-22
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Wireless systems Radio resource management Spectrum aggregation SINR Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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