Reference : Power control in cognitive radio networks using cooperative modulation and coding cla...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/26315

Title :	Power control in cognitive radio networks using cooperative modulation and coding classification
Language :	-
Author, co-author :	Tsakmalis, Anestis [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Publication date :	2015
Journal title :	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Publisher :	Springer Verlag
Volume :	156
Pages :	358-369
Peer reviewed :	Yes
Audience :	International
ISSN :	18678211
Event name :	10th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2015
Event date :	21 April 2015 through 23 April 2015
Keywords :	[en] Adaptive coding and modulation ; Centralized power control ; Cognitive Radio ; Cooperative Modulation and Coding Classification ; Spectrum sensing ; Adaptive control systems ; Channel coding ; Classification (of information) ; Codes (symbols) ; Electric circuit breakers ; Frequency bands ; Mobile telecommunication systems ; Modulation ; Power control ; Radio systems ; Signal interference ; Wireless networks ; Cognitive base stations ; Cognitive radio network ; Interference channels ; Modulation and coding ; Modulation and coding schemes ; Cognitive radio
Abstract :	[en] In this paper, a centralized Power Control (PC) scheme aided by interference channel gain learning is proposed to allow a Cognitive Radio (CR) network to access the frequency band of a Primary User (PU) operating based on an Adaptive Coding and Modulation (ACM) protocol. The main idea is the CR network to constantly probe the band of the PU with intelligently designed aggregated interference and sense whether the Modulation and Coding scheme (MCS) of the PU changes in order to learn the interference channels. The coordinated probing is engineered by the Cognitive Base Station (CBS), which assigns appropriate CR power levels in a binary search way. Subsequently, each CR applies a Modulation and Coding Classification (MCC) technique and sends the sensing information through a control channel to the CBS, where all the MCC information is combined using a fusion rule to acquire an MCS estimate of higher accuracy and monitor the probing impact to the PU MCS. After learning the normalized interference channel gains towards the PU, the CBS selects the CR power levels to maximize total CR network throughput while preserving the PU MCS and thus its QoS. The effectiveness of the proposed technique is demonstrated through numerical simulations. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.
Permalink :	http://hdl.handle.net/10993/26315
DOI :	10.1007/978-3-319-24540-9_29
Commentary :	152139 9783319245393

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