Cooperative Spectrum Sensing Optimization in Energy-Harvesting Cognitive Radio Networks

Liu, Xiaoying; Zheng, Kechen; Chi, Kaikai; Zhu, Yi-hua

doi:10.1109/twc.2020.3015260

Cited by 79 publications

(45 citation statements)

References 45 publications

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“…A new adaptive sensing time technique-based spectrum sensing that depends on the SNR has been given in [34] to increase the literal spectrum usage and the achievable throughput. Apart from using double threshold, some methods employ machine learning or optimization algorithms to achieve desirable sensing performance and prevent sensing failure [35][36]. Authors in [37] have proposed the use of artificial neural networks (ANN) to implement hybrid spectrum sensing.…”

Section: Related Workmentioning

confidence: 99%

A novel double threshold-based spectrum sensing technique at low SNR under noise uncertainty for Cognitive Radio Systems

Mahendru¹

2021

Preprint

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Cognitive Radio is a novel concept that has invoked a paradigm shift in wireless communication and promises to solve the problem of spectrum underutilization. Spectrum sensing plays a pivotal role in a cognitive radio system by detecting the vacant spectrum for establishing a communication link. For any spectrum sensing method, detection probability and error probability portray a significant part in quantifying the detection performance. At low SNR, it becomes cumbersome to differentiate noise and signal due to which sensing method loses robustness and reliability. In this paper, mathematical modeling and critical measurement of detection probabilities has been done for energy detection-based spectrum sensing at low SNR in uncertain noisy environment. A mathematical model has been proposed to compute double thresholds for reliable sensing when the observed energy is less than the uncertainty in the noise power. A novel parameter “Threshold Wall” has been formulated for optimum threshold selection to overcome sensing failure. Comparative simulation and analytical result measurements have been presented that reveals improved sensing performance.

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Section: Related Workmentioning

confidence: 99%

A novel double threshold-based spectrum sensing technique at low SNR under noise uncertainty for Cognitive Radio Systems

Mahendru¹

2021

Preprint

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“…The huge data traffic has led to scarcities of both spectrum and energy. However, as reported by Federal Communications Commission (FCC), more than

70\%

of the licensed spectrum in USA is under low utilisation at a certain time and spatial domain [3, 4]. Therefore, improving spectrum efficiency is an effective approach to alleviate spectrum scarcity.…”

Section: Introductionmentioning

confidence: 99%

Throughput maximisation for multi‐channel energy harvesting cognitive radio networks with hybrid overlay/underlay transmission

et al. 2022

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This paper focuses on the issue of joint time and power allocation in multi‐channel energy harvesting CR networks (EH‐CRNs), where the multi‐antenna secondary transmitter (ST) opportunistically accesses the licensed subchannels by a hybrid overlay/underlay transmission approach. To improve spectrum efficiency and energy efficiency of the EH‐CRNs, the ST scavenges energy from the radio‐frequency signal radiated by the primary transmitter, and exploits the harvested energy for data transmission through subchannels of different states in overlay/underlay mode simultaneously. Moreover, under the interference power constraint, energy constraint, and maximum power constraint, the secondary throughput is improved by optimising the allocation of subchannels, the time scheduling between energy harvesting and data transmission, and the power allocation of the ST among different subchannels. A subchannel allocation scheme with low time complexity is proposed, and the secondary throughput optimisation problem is formulated with respect to the time scheduling and power allocation of the ST. Then it is proved the problem is convex, and the problem is solved by a proposed joint time and power allocation algorithm. Numerical results show that the proposed scheme has an advantage of secondary throughput over the other schemes. Finally, the impacts of key relevant factors on the secondary throughput are explored.

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“…Cognitive radio (CR) technology has emerged as a solution to the dilemma of the scarcity of spectrum resources and the rising demand for wireless communications 1 . In a cognitive radio network (CRN) consisting of the primary user (PU), and the secondary user (SU), 2 two kinds of users have different priorities to spectrum access. By means of the spectrum sensing technology, 3 when the SU has detected that the targeted channel is underutilized by the PU and then use spectrum in an opportunistic manner 4‐8 .…”

Section: Introductionmentioning

confidence: 99%

Robust and efficient cooperative spectrum sensing against probabilistic hard Byzantine attack

Chen

Gan

et al. 2021

Trans Emerging Tel Tech

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Cognitive radio (CR) is regarded as a powerful technology to solve the problem of spectrum shortage and underutilization. As a key function of CR technology, cooperative spectrum sensing (CSS) allows secondary users (SUs) to detect the primary user (PU)'s signal so that they identify and opportunistically access the available spectrum. However, the openness of CSS paradigm makes cognitive radio networks (CRNs) suffer from Byzantine attack, thereby undermining the premise of CR framework. To this aim, we formulate a probabilistic hard Byzantine attack model, in which malicious users (MUs) can conduct various attack strategies, and make an in‐depth investigation on the blind scenario. On the one hand, in order to ensure the robustness of CSS, a method to evaluate the reliability of the secondary user (SU)'s sensing result based on the channel status detection is proposed and an innovative weight coefficient is considered to selectively utilize the sensing information from MUs. On the other hand, we design a sequential fusion method based on reputation value (RV) and differential mechanism, with the aim of improving the efficiency of CSS. According to above methods and mechanism, the weighted differential sequential symbol (WDS2) algorithm is designed, which integrates the weight evaluation into sequential method to make the global decision for CSS. Finally, compared to the existing various data fusion algorithms, simulation results show that the proposed WDS2 not only defends against various Byzantine attacks to secure the robustness of CSS, but also requires less samples in support of an accurate global decision to improve the efficiency of CSS.

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Cooperative Spectrum Sensing Optimization in Energy-Harvesting Cognitive Radio Networks

Cited by 79 publications

References 45 publications

A novel double threshold-based spectrum sensing technique at low SNR under noise uncertainty for Cognitive Radio Systems

A novel double threshold-based spectrum sensing technique at low SNR under noise uncertainty for Cognitive Radio Systems

Throughput maximisation for multi‐channel energy harvesting cognitive radio networks with hybrid overlay/underlay transmission

Robust and efficient cooperative spectrum sensing against probabilistic hard Byzantine attack

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