Title
Interference Monitoring-Based Spectrum Management To Maximize White Space Utilization For Cognitive Radios
Abstract
For opportunistic spectrum access (USA), spectrum management is a key function to effectively utilize white space without causing harmful interference to incumbent receivers. Geo-location database approaches using radio propagation estimation have been regarded as practical spectrum management methods. However, propagation models inevitably fail to accurately estimate the path loss in actual radio environments, resulting in estimation error of carrier to interference ratio (CIR), of the incumbent receivers. This could prevent white space from being efficiently utilized, because the allowable transmit power of the opportunistic system has to be limited to keep the CIR. at the required level. To improve the accuracy of CIR estimation, we propose the new concept of Interference Monitoring which works in combination with spectrum management In this method, a monitoring node located near the incumbent receivers actually measures both the interference signals and the incumbent signals. Using the measurement results, the CIR estimates are corrected based on the minimum mean square error (MMSE) criterion. The proposed Interference Monitoring can be extended to establish cooperation among multiple monitoring nodes and thus spatial diversity. Analytical evaluations assuming a simple cellular system model show that Interference Monitoring can more accurately estimate CM, and thus it can significantly increase the allowable transmit power. For an urban macro cell, Interference Monitoring with a single node achieved about a 6.5 dB increase in the transmit power; Cooperative Interference Monitoring with 4 nodes achieved about a 13.5 dB increase. Thus, Interference Monitoring-based spectrum management can maximize opportunities for white space utilization without imposing additional interference to the incumbent system.
Year
DOI
Venue
2013
10.1587/transcom.E96.B.869
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
Field
DocType
cognitive radio, opportunistic spectrum access, spectrum management, Inteiference Monitoring
White spaces,Spectrum management,Computer science,Computer network,Interference (wave propagation),Cognitive radio
Journal
Volume
Issue
ISSN
E96B
3
0916-8516
Citations 
PageRank 
References 
1
0.36
3
Authors
3
Name
Order
Citations
PageRank
Kazushi Muraoka1358.16
Hiroto Sugahara2153.20
Masayuki Ariyoshi3277.55