Results 221 to 230 of about 22,621 (259)

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, 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
openaire   +1 more source

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

Secure enhanced compressed wideband spectrum sensing

2012 International Conference on Wireless Communications and Signal Processing (WCSP), 2012
Spectrum 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

Exploiting Space and Antenna Diversity for Wideband Spectrum Sensing

2021 International Conference on COMmunication Systems & NETworkS (COMSNETS), 2021
Cognitive radio (CR) is a technology that greatly exhibits signs of future success for spectrum utilization. One of the crucial tasks of CR is the spectrum sensing (SS), which identifies the spectrum opportunity for unlicensed users avoiding the interference to the licensed users.
Kamal M. Captain, Manjunath V. Joshi
openaire   +1 more source

Wideband spectrum sensing based on coprime sampling

2015 22nd International Conference on Telecommunications (ICT), 2015
In wideband compressive spectrum sensing, when the number of occupied subbands in the monitored wideband increases, the existing compressive sensing approaches have to raise the sampling rate to maintain a desired sensing performance. What is worse, that will add computational complexity of the following signal reconstruction.
Shiyu Ren, Zhimin Zeng, Caili Guo, Xuekang Sun   +3 more
openaire   +1 more source

New algorithms for wideband spectrum sensing via compressive sensing

2013 IEEE International Conference on Communications (ICC), 2013
We 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

Wideband spectrum sensing technique based on multitask compressive sensing

2016 IEEE Symposium on Computers and Communication (ISCC), 2016
Sensing the spectrum is the central operation to enable cognitive users to identify the spectrum occupancy. Wideband spectrum sensing enables detecting occupancy at different bands. In this paper, we propose a wavelet based multitask compressive sensing (WMCS) algorithm for constructing the spectrum edges directly from the compressive measurement.
Osama Elnahas, Maha Elsabrouty
openaire   +1 more source