DocumentCode
1965285
Title
Monitoring-based spectrum management for expanding opportunities of white space utilization
Author
Muraoka, Kazushi ; Sugahara, Hiroto ; Ariyoshi, Masayuki
Author_Institution
Syst. Platforms Res. Labs., NEC Corp., Sagamihara, Japan
fYear
2011
fDate
3-6 May 2011
Firstpage
277
Lastpage
284
Abstract
Spectrum management is one of the key functions needed for opportunistic spectrum access (OSA) to 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 include an estimation error of path loss in actual radio environments, resulting in estimation error of carrier to interference ratio (CIR) of the incumbent receivers. Consequently, an allowable transmit power of the opportunistic system has to be limited to keep the CIR at a required level. This could prevent white space from being efficiently utilized. To improve the accuracy of CIR estimation, we propose monitoring-based spectrum management. In the proposed technology, referred to as Interference Monitoring, 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 compensated based on minimum mean square error (MMSE) criterion. The proposed Interference Monitoring can be extended cooperatively to utilize spatial diversity. Analytical evaluations assuming a simple cellular system model show that the Interference Monitoring can more accurately estimate CIR, and thus it can significantly increase the allowable transmit power. For an urban macro cell, the Interference Monitoring with a single node achieved more than a 4 dB increase of the transmit power; the Cooperative Interference Monitoring with 4 nodes achieved more than a 7 dB increase. Thus, the Interference Monitoring can expand opportunities for white space utilization without increasing the interference to the incumbent system.
Keywords
cognitive radio; interference (signal); least mean squares methods; radiowave propagation; telecommunication network management; MMSE; OSA; carrier to interference ratio; cognitive radio systems; cooperative interference monitoring; geo-location database approaches; incumbent receivers; interference signals; minimum mean square error; monitoring-based spectrum management; opportunistic spectrum access; radio propagation estimation; spatial diversity; white space utilization; Estimation error; Interference; Monitoring; Radio propagation; Receivers; White spaces; Cognitive radio; Interference Monitoring; opportunistic spectrum access; spectrum management;
fLanguage
English
Publisher
ieee
Conference_Titel
New Frontiers in Dynamic Spectrum Access Networks (DySPAN), 2011 IEEE Symposium on
Conference_Location
Aachen
Print_ISBN
978-1-4577-0177-1
Electronic_ISBN
978-1-4577-0176-4
Type
conf
DOI
10.1109/DYSPAN.2011.5936216
Filename
5936216
Link To Document