Cognitive Radio Testbeds: State of the Art and an Implementation

Gökçeli, Selahattin; Kurt, Güneş Karabulut; Anarım, Emin

doi:10.1007/978-981-10-2254-8_7

Cited by 6 publications

(3 citation statements)

References 24 publications

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“…The GNU radio companion software environment employing gives more trustworthiness to the simulation results. The GRC can be used, respectively, with or without low‐cost external RF hardware as a real‐life environment or a simulation‐like environment 28 . GNU radio produces a flexible signal processing platform named SDR.…”

Section: Results and Evaluationsmentioning

confidence: 99%

“…The GRC can be used, respectively, with or without low-cost external RF hardware as a real-life environment or a simulation-like environment. 28 GNU radio produces a flexible signal processing platform named SDR. This flexible platform offers the possibility of creating and developing new wireless communications systems.…”

Section: Implementation Of the Proposed Approach Using Gnu Radiomentioning

confidence: 99%

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Effective autocorrelation‐based spectrum sensing technique for cognitive radio network applications

Lyes

Teguig

Lassami

2023

Int J Communication

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Summary Spectrum sensing based on detection techniques enables cognitive radio networks to detect vacant frequency bands. The spectrum sensing gives the opportunity to increase the radio spectrum channels re‐utilization. However, the main challenge in spectrum sensing is the simplicity of the considered detection approach and the amount of prior information needed to make an accurate decision. This paper proposes a novel sensing technique based on the autocorrelation function. This novel approach is based on the speed of convergence to zero of all autocorrelation coefficients. This technique shows the highest probability of detection for the same probability of false alarm target at low signal‐to‐noise ratio (SNR) compared with many standard detection techniques. The proposed method has been implemented using GNU Radio software and SDR (software‐defined radio) platforms. The experimental results show the effectiveness of the proposed method under real scenarios.

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Section: Results and Evaluationsmentioning

confidence: 99%

Section: Implementation Of the Proposed Approach Using Gnu Radiomentioning

confidence: 99%

Effective autocorrelation‐based spectrum sensing technique for cognitive radio network applications

Lyes

Teguig

Lassami

2023

Int J Communication

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“…Commonplace among those skeptical researchers and practitioner engineers is the fact that most of the works in this area are analyzed from theoretical and simulation viewpoints solely, thus relying on several assumptions and simplifications which, eventually, lead to conclusions that do not necessarily meet the requirements imposed by real propagation environments. Exceptions to this rule include [ 25 , 26 ] and references therein, which consider some practical issues of conventional ED, and [ 27 , 28 , 29 ], which consider practical opportunistic spectrum access from a cross-layer perspective, analyzing medium access control (MAC) and other layers of the protocol stack.…”

Section: Introductionmentioning

confidence: 99%

Implementation Issues of Adaptive Energy Detection in Heterogeneous Wireless Networks

Sobrón

Eizmendi

Martins

et al. 2017

Sensors

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Spectrum sensing (SS) enables the coexistence of non-coordinated heterogeneous wireless systems operating in the same band. Due to its computational simplicity, energy detection (ED) technique has been widespread employed in SS applications; nonetheless, the conventional ED may be unreliable under environmental impairments, justifying the use of ED-based variants. Assessing ED algorithms from theoretical and simulation viewpoints relies on several assumptions and simplifications which, eventually, lead to conclusions that do not necessarily meet the requirements imposed by real propagation environments. This work addresses those problems by dealing with practical implementation issues of adaptive least mean square (LMS)-based ED algorithms. The paper proposes a new adaptive ED algorithm that uses a variable step-size guaranteeing the LMS convergence in time-varying environments. Several implementation guidelines are provided and, additionally, an empirical assessment and validation with a software defined radio-based hardware is carried out. Experimental results show good performance in terms of probabilities of detection (Pd>0.9) and false alarm (Pf∼0.05) in a range of low signal-to-noise ratios around [-4,4pt1] dB, in both single-node and cooperative modes. The proposed sensing methodology enables a seamless monitoring of the radio electromagnetic spectrum in order to provide band occupancy information for an efficient usage among several wireless communications systems.

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City Scale Drainage System IoT Testbeds

Salam

2023

Internet of Things in Smart Sewer and Drainage Systems

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Cognitive Radio Testbeds: State of the Art and an Implementation

Cited by 6 publications

References 24 publications

Effective autocorrelation‐based spectrum sensing technique for cognitive radio network applications

Effective autocorrelation‐based spectrum sensing technique for cognitive radio network applications

Implementation Issues of Adaptive Energy Detection in Heterogeneous Wireless Networks

City Scale Drainage System IoT Testbeds

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