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Wideband spectrum sensing for cognitive radio networks: a survey [PDF]

IEEE Wireless Communications, 2013
17 pages, 4 figures, 2 tables.
, Arumugam Nallanathan
exaly   +4 more sources

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LPWS Algorithm for Wideband Spectrum Sensing

Wireless Personal Communications, 2016
Wideband or multi-band spectrum sensing is an essential functionality for cognitive radio (CR) networks. It enables a secondary user to identify spectral holes dynamically and transmit opportunistically so as not to interfere with cohabiting primary users over the same bands.
Fulai Liu, Ruiyan Du
openaire   +1 more source

A new approach for spectrum sensing in wideband

Eurocon 2013, 2013
A new algorithm of the spectrum sensing is proposed in this paper. The spectrum sensing methods presented in this paper are optimised to implement these in FPGA based embedded systems. The low power and highly parallelised architecture of FPGA requires low complexity in implementation of separate processing units - spectrum sensors (SpS).
Liudas Stasionis, Arturas Serackis
openaire   +1 more source

Wideband spectrum sensing by compressed measurements

2012 IEEE Symposium on Computers and Communications (ISCC), 2012
In this paper we introduce a new method for wideband spectrum sensing which uses the received signal compressed measurements to determine the occupancy status of each subchannel. In the cognitive radio systems, wideband spectrum sensing in high utilization regimes increases the speed of the access to the spectrum holes.
Davood Mardani Najafabadi, AliAkbar Tadaion, Masoud Reza Aghabozorgi Sahaf   +2 more
openaire   +1 more source

Compressive autonomous sensing (CASe) for wideband spectrum sensing

2012 IEEE International Conference on Communications (ICC), 2012
Compressive spectrum sensing techniques present many advantages over traditional spectrum sensing approaches, e.g., low sampling rate, and reduced energy consumption. However, when the spectral sparsity level is unknown, there are two significant challenges.
Hongjian Sun 0001, Arumugam Nallanathan, Jing Jiang 0004, H. Vincent Poor   +3 more
openaire   +2 more sources

Sensing order optimization in wideband spectrum sensing

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), 2016
In the cognitive radio networks (CRNs), efficient spectrum sensing is a key enabling techniques for the effective spectrum exploration. However, Majority of the existing works on spectrum sensing is conducted the spectrum sensing serially in cognitive radio networks, which may bring about the sensing delay problem.
null Jiang Han, null Yunfei Ma, null Yitao Xu, null Zhiwen Wang   +3 more
openaire   +1 more source

Cooperative compressive wideband power spectrum sensing

2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012
Compressive sampling is a popular approach to relax the rate requirement on the analog-to-digital converters and to perfectly reconstruct wideband sparse signals sampled below the Nyquist rate. However, there are some applications, such as spectrum sensing for cognitive radio, that demand only power spectrum recovery. For wide-sense stationary signals,
Dyonisius Dony Ariananda, Geert Leus
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Spectrum segmentation for wideband sensing of radio signals

2011 IEEE International Workshop on Measurements and Networking Proceedings (M&N), 2011
Spectrum sensing is a key factor for either the development of Cognitive Radio or the implementation of instruments able to automatically monitor the radio spectrum. Within the process of spectrum sensing, segmentation aims to detect the boundaries of the transmission channels in a wide frequency range.
Doris Bao, Luca De Vito, Sergio Rapuano
openaire   +1 more source

Low-power architecture for wideband spectrum sensing

2012 3rd International Workshop on Cognitive Information Processing (CIP), 2012
In this paper, a novel power efficient architecture for detecting the spectral holes over a very high bandwidth is proposed. Wideband spectrum sensing poses serious challenges for low-power spectrum sharing radios (for e.g., cognitive radio) which cannot afford to use high-rate Analog-to-Digital Converters (ADCs) to sample the signals at Nyquist rate ...
Sundeep Prabhakar Chepuri, Ruben de Francisco, Geert Leus   +2 more
openaire   +1 more source