Integrated sensing and communication (ISAC) has emerged as a key enabling technology for future 6G networks. Existing implementations encounter fundamental trade-offs: single-band full-duplex systems require complex self-interference cancellation (SIC ...
Bixing Yan, Yang Miao
doaj +1 more source
An Improved Distributed Multi-User Cooperative Spectrum Sensing Method Based on DCS
Distributed compressed sensing theory extends the application of compressed sensing theory, which brings single signal compression sampling to signal group compression sampling.
Jianwu Zhang, Xiaoyan Chen, Xiaorong Xu
doaj +2 more sources
Wideband Spectrum Sensing technique based on Goodness-of-Fit testing
Recently, Goodness-of-Fit (GoF) based spectrum sensing has been proposed as a method for blind narrowband spectrum sensing. GoF based spectrum sensing has the nice feature that, compared to Energy Detection, it needs fewer samples to achieve the same ...
Scheers, Bart, Teguig, Djamel
core
Emerging Technologies and Access to Spectrum Resources: the Case of Short-Range Systems [PDF]
Traditional regulatory arrangements have constrained access to radio frequency spectrum. This has resulted in artificial scarcity of spectrum. The paper addresses the issue of whether technological developments in short-range systems (e.g.
Minervini, Fulvio
core
Spectrum monitor for cognitive radio
The concept of a cognitive radio assumes that the receiver is able to determine the activity level across a large range of spectrum in order to assign a channel for its use.
Liang, Siwen
core +1 more source
Non-compressive wideband spectrum sensing with sub-Nyquist sampling rates
In this paper, we propose a low complexity and reliable wideband spectrum sensing technique that operates at sub-Nyquist sampling rates. Unlike the majority of other sub-Nyquist spectrum sensing algorithms that rely on the Compressive Sensing (CS ...
Ahmad, BI, Tarczynski, A, ,, Al-Ani, M
core
Comparative Study of Wideband Speech Spectral Quantization Schemes
In this treatise a range of Line Spectrum Frequency (LSF) Vector Quantization (VQ) schemes were studied comparatively, which were designed for wideband speech codecs. Both predictive arrangements and memoryless schemes were investigated.
Guibé, G, How, H T, Hanzo, L
core
Compressed correlation-matching for spectrum sensing in sparse wideband regimes
In this paper, we consider a novel compressed correlation-matching (CCM) approach for spectrum sensing of wideband sparse signals. We derive a general closed-form estimate of the wideband sparse signal level from compressed observations, while providing ...
Vázquez Grau, Gregorio +2 more
core
Deep Reinforcement Learning for Anti-Jamming Dynamic Spectrum Access: A Bootstrap Ensemble Approach with Echo State Network and Idle-Ratio Change Detection. [PDF]
Jiang H, Bian X, Li M.
europepmc +1 more source
Adaptive frequency-domain CFAR for robust spectrum sensing under jamming and administrator-controlled counter-access. [PDF]
Shams MS +3 more
europepmc +1 more source

