Optimisation of virtual cooperative spectrum sensing for UAV‐based interweave cognitive radio system

Wu, Jun; Chen, Yang; Li, Pei; Zhang, Jia; Tang, Jifei; Xia, Lanhua; Lu, Conghui; Song, Tiecheng

doi:10.1049/cmu2.12103

Cited by 21 publications

(21 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, ∂ 2 η/∂χ 2 < 0, ∂η/∂χ is a decreasing function of χ. Based on ( 22), ( 23) and (24), if the right hand side of ( 23) is larger than or equal to 0, we can obtain that ∂η/∂χ ≥ 0 for χ ∈ ( χ, 0.5]. In this case, the optimal value of χ that maximizes η is 0.5.…”

Section: B Optimization Of χ For a Given Pair Of N And P Tmentioning

confidence: 96%

“…In [23], the energy-efficiency and throughput maximization problems were investigated by optimizing the UAV's parameters (trajectory, transmit power, speed) and the UAV-to-user scheduling. In [24], the optimization of virtual cooperative spectrum sensing for UAV-based interweave CR system is studied. In [25], the UAV is deployed as an aerial base station and provide wireless services to the ground users.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of Energy Efficiency in UAV-Enabled Cognitive IoT With Short Packet Communication

Huang

Cheng

et al. 2022

IEEE Sensors J.

View full text Add to dashboard Cite

The unmanned aerial vehicle (UAV) assisted communication can significantly improve the coverage and spectrum efficiency of the Internet of Things (IoT). One main feature of IoT is short packet communication (SPC), in which the data transmission uses finite block-length codewords. The transmission rate and the packet error rate will affect the effective throughput of the IoT. In this paper, we investigate the impact of SPC on the performance of UAVenabled spectrum sharing network. Specifically, the optimization of energy efficiency (EE) in the UAV communication system is considered since the battery of the UAV is usually limited. We design the packet error rate, the sensing duration, the normalized sensing threshold and the UAV's transmit power to maximize the EE under the constraint that the primary user is sufficiently protected. Since the system parameters are intertwined with each other, we employ a successive optimization algorithm to solve the optimization problem by dividing it into three subproblems. Then, an efficient iterative algorithm is proposed to obtain the optimal parameters. Simulation results reveal that the proposed algorithm can converge to global optimal value and has better EE performance than other benchmark schemes. And there is a fundamental tradeoff between the throughput and the EE.

show abstract

Section: B Optimization Of χ For a Given Pair Of N And P Tmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Optimization of Energy Efficiency in UAV-Enabled Cognitive IoT With Short Packet Communication

Huang

Cheng

et al. 2022

IEEE Sensors J.

View full text Add to dashboard Cite

show abstract

“…In the second scenario, the final decision is 0 but the PU is present, that is to say, the miss detection happens, though the UAV may cause harmful interference to the PU, the throughput can be expressed as 𝜏 d 𝒰 1 ∕𝜏. 23 Then the throughput of CUAVNs can be given by…”

Section: Throughputmentioning

confidence: 99%

“…where Q f and Q m are the global false alarm probability and the global miss detection probability, P (ℋ 0 ) and P (ℋ 1 ) are the probability of hypotheses ℋ 0 and ℋ 1 , respectively, SNR u and SNR p are SNR for the UAV and PU transmission, respectively. 23,40…”

Section: Throughputmentioning

confidence: 99%

Quick cooperative spectrum sensing in cognitive unmanned aerial vehicles networks

Zhang

2022

Trans Emerging Tel Tech

Self Cite

View full text Add to dashboard Cite

In cognitive unmanned aerial vehicles (UAVs) networks (CUAVNs), cooperative spectrum sensing (CSS) has been recognized as a key technology to enable UAVs to detect spectrum holes and opportunistically access primary licensed spectrum band without harmful interference. Considering that the location flexibility of flying UAV spectrum sensors makes the collaborative working mode of multiple UAVs difficult to achieve, this article establishes an easy-to-implement intraframe CSS mode by considering the cooperation within the microsensing time slots of a single UAV. On the basis of this, we adopt sequential probability ratio test (SPRT) as the fusion criterion of sensing decisions from microsensing slots to implement quick CSS for multiple channels under the sensing delay limit and make an investigation the achievable throughput of truncated-SPRT for CUAVNs. Due to the uncertainty of the sensing decision number required in SPRT, we further propose a soft truncation (ST) way to terminate SPRT process and further evaluate the global CSS performance. At last, numerical simulation results show that the CSS efficiency of the proposed intraframe CSS outperforms that of the traditional interframe CSS, and the performance of ST-SPRT is also better than hard truncation (HT)-SPRT, in terms of the detection performance and throughput, especially in the multichannel spectrum sensing scenario.

show abstract

“…Therefore, cognitive radio (CR) is proposed to enable secondary users (SUs) to communicate in the authorized frequency band, with the aim of not affecting the PU's normal operation [1]. In a interweave CR operation mode [2], CR allows secondary users (SUs) using spectrum sensing methods to detect whether the PU's signal is present or not [3], and then the SUs opportunistically access the channel (when the PU is absent, which presents that the channel is underutilized by the PU) but without causing excessive interference to the primary network. Therefore, CR is able to solve the dilemma between the spectrum underutilization and scarcity [4].…”

Section: Introductionmentioning

confidence: 99%

Throughput and Interference for Cooperative Spectrum Sensing: A Malicious Perspective

2021

KSII TIIS

View full text Add to dashboard Cite

Cognitive radio (CR) is a feasible intelligent technology and can be used as an effective solution to spectrum scarcity and underutilization. As the key function of CR, cooperative spectrum sensing (CSS) is able to effectively prevent the harmful interference with primary users (PUs) and identify the available spectrum resources by exploiting the spatial diversity of multiple secondary users (SUs). However, the open nature of the cognitive radio networks (CRNs) framework makes CSS face many security threats, such as, the malicious user (MU) launches Byzantine attack to undermine CRNs. For this aim, we make an in-depth analysis of the motive and purpose from the MU's perspective in the interweave CR system, aiming to provide the future guideline for defense strategies. First, we formulate a dynamic Byzantine attack model by analyzing Byzantine behaviors in the process of CSS. On the basis of this, we further make an investigation on the condition of making the fusion center (FC) blind when the fusion rule is unknown for the MU. Moreover, the throughput and interference to the primary network are taken into consideration to evaluate the impact of Byzantine attack on the interweave CR system, and then analyze the optimal strategy of Byzantine attack when the fusion rule is known. Finally, theoretical proofs and simulation results verify the correctness and effectiveness of analyses about the impact of Byzantine attack strategy on the throughput and interference.

show abstract

Optimisation of virtual cooperative spectrum sensing for UAV‐based interweave cognitive radio system

Cited by 21 publications

References 28 publications

Optimization of Energy Efficiency in UAV-Enabled Cognitive IoT With Short Packet Communication

Optimization of Energy Efficiency in UAV-Enabled Cognitive IoT With Short Packet Communication

Quick cooperative spectrum sensing in cognitive unmanned aerial vehicles networks

Throughput and Interference for Cooperative Spectrum Sensing: A Malicious Perspective

Contact Info

Product

Resources

About