Results 211 to 220 of about 22,442 (264)
Some of the next articles are maybe not open access.
Sensing order optimization in wideband spectrum sensing
2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), 2016In 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 +3 more
openaire +1 more source
Compressive autonomous sensing (CASe) for wideband spectrum sensing
2012 IEEE International Conference on Communications (ICC), 2012Compressive 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.
Sun, Hongjian +3 more
openaire +2 more sources
Fast technique for wideband spectrum sensing
2014 IEEE Antennas and Propagation Society International Symposium (APSURSI), 2014The wideband spectrum sensing method described in this paper considers selecting unoccupied frequencies within a frequency band of interest. Two energy detection criteria are required to select an unoccupied frequency: 1) the energy of an unoccupied frequency must be below a predetermined threshold; 2) the sum of energy surrounding an unoccupied ...
Anthony Martone, Kenneth Ranney
openaire +1 more source
LPWS Algorithm for Wideband Spectrum Sensing
Wireless Personal Communications, 2016Wideband 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
Secure enhanced compressed wideband spectrum sensing
2012 International Conference on Wireless Communications and Signal Processing (WCSP), 2012Spectrum Sensing Data Falsification (SSDF) attack is one of the most important threats to spectrum sensing for wireless cognitive radio networks. On the basis that the wireless signal in cognitive radio network is inherently sparse in frequency domain, this paper develops a distributed compressed wideband spectrum sensing approach which combines both ...
Yao Gang, Baoyu Zheng, Junqing Chen
openaire +1 more source
Time-adaptive cooperative wideband spectrum sensing
2012 16th IEEE Mediterranean Electrotechnical Conference, 2012Cognitive radio networks (CRN) require efficient spectrum sensing (SS) to achieve high-spectrum-utilization by secondary users. For cooperative-CRN, current optimization approaches to SS have focused on maximizing the aggregate throughput while considering only a single-parameter-variable pertinent to sensing, notably the sensing-threshold or the ...
Nedra Hamzaoui, Noureddine Hamdi
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), 2012Compressive 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
openaire +1 more source
Wideband spectrum sensing by compressed measurements
2012 IEEE Symposium on Computers and Communications (ISCC), 2012In 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 +2 more
openaire +1 more source
New algorithms for wideband spectrum sensing via compressive sensing
2013 IEEE International Conference on Communications (ICC), 2013We consider the problem of spectrum sensing in a Cognitive Radio (CR) system when the primaries can be occupying a few subbands in a wideband spectrum. Since the primary signal dimension is large, Nyquist rate can be very high. Compressive sensing (CS) can be useful in this setup.
Shwetank Mistry, Vinod Sharma
openaire +1 more source

