Robust Spectrum Sensing Based on Correlation for Cognitive Radio Networks With Uncalibrated Multiple Antennas

Chen, An-Zhi; Shi, Zhiping; Liang, Gen

doi:10.1109/lcomm.2020.3044334

Cited by 6 publications

(2 citation statements)

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“…They exploit the fact that under the null hypothesis the signals received at the different antennas are spatially uncorrelated, whereas the presence of a PU induces some correlation and/or additional structure in the spatial covariance matrix. Among these methods, the eigenvalues of the covariance matrix, have been so far explored [44]- [46]. However, in more practical scenarios, the detection performance is degraded due to the uncalibrated antennas.…”

Section: Eigenvalue-based Techniquesmentioning

confidence: 99%

“…IQ imbalance [47] has been considered for the proposal of novel detectors in [46], [48], while the improperty of the received complex-value signals due to the IQ imbalance has also been addressed in [49], where a constant false alarm rate detection is reported. The multi-antenna signal detection has also been studied under PU-signal correlation due to oversampling [44], and novel detectors under interference are also conceived in [50].…”

Section: Eigenvalue-based Techniquesmentioning

confidence: 99%

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Spectrum Sensing Using Software Defined Radio for Cognitive Radio Networks: A Survey

Manco

Dayoub

Nafkha³

et al. 2022

IEEE Access

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Cognitive radio (CR) network has emerged as a potential solution to the under-utilization problem of the allocated radio spectrum, where spectrum sensing (SS) plays a key role to enable the coexistence between primary and secondary users. It has attracted research interests, and several works have been reported in the literature. Nevertheless, the assumptions and simplifications introduced during the modeling of the communication system often yield misleading conclusions each time relevant aspects of their implementation on a testbed are omitted. Hence, prototypes are built to study their behaviour under real-world conditions, therefore software defined radio (SDR) has emerged as an ideal vehicle to allow researchers to experiment with prototypes of these CR approaches. In this survey, we provide an overview of the latest works in CR networks related to the spectrum awareness approaches and taking into account their implementation on testbeds. These approaches are classified from a practical point of view, where a detailed review of the existing works for each category is provided. A review of the existing SDR platforms is also exposed highlighting the main components and features of current architectures employed for experimental evaluation of CR approaches. Next, the challenges to implement current spectrum awareness approaches on SDR platforms are detailed. Finally, at the light of these reviews, research challenges and open issues are identified for future research directions. INDEX TERMSCognitive radio, spectrum sensing, SDR platforms, hardware impairments.

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Section: Eigenvalue-based Techniquesmentioning

confidence: 99%