scholarly journals Adaptive Sub-Nyquist Spectrum Sensing for Ultra-Wideband Communication Systems

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 342
Author(s):  
Yong Lu ◽  
Shaohe Lv ◽  
Xiaodong Wang
Keyword(s):  
Spectrum Sensing ◽  
Frequency Band ◽  
Communication Systems ◽  
High Speed ◽  
Signal To Noise Ratio ◽  
Sampling Rate ◽  
Ultra Wideband ◽  
Wideband Spectrum Sensing ◽  
Adaptive Policy ◽  
Ultra Wideband Communication

With the ever-increasing demand for high-speed wireless data transmission, ultra-wideband spectrum sensing is critical to support the cognitive communication over an ultra-wide frequency band for ultra-wideband communication systems. However, it is challenging for the analog-to-digital converter design to fulfill the Nyquist rate for an ultra-wideband frequency band. Therefore, we explore the spectrum sensing mechanism based on the sub-Nyquist sampling and conduct extensive experiments to investigate the influence of sampling rate, bandwidth resolution and the signal-to-noise ratio on the accuracy of sub-Nyquist spectrum sensing. Afterward, an adaptive policy is proposed to determine the optimal sampling rate, and bandwidth resolution when the spectrum occupation or the strength of the existing signals is changed. The performance of the policy is verified by simulations.

scholarly journals Wideband Spectrum Sensing Based on Advanced Sub-Nyquist Sampling Structure

2021 ◽  
Author(s):  
Xue Wang ◽  
Qian Chen ◽  
Min Jia ◽  
Xuemai Gu
Keyword(s):  
Prior Knowledge ◽  
Spectrum Sensing ◽  
High Speed ◽  
Sampling Rate ◽  
Detection Algorithm ◽  
Channel Structure ◽  
System Structure ◽  
Sensing Matrix ◽  
Sampling System ◽  
Wideband Spectrum Sensing

Abstract As the bandwidth increases, the high-speed sampling rate becomes the bottleneck for the development of wideband spectrum sensing. Wideband spectrum sensing with sub-Nyquist sampling attracts more attention and modulated wideband converter (MWC) is an attractive sub-Nyquist sampling system. For the purpose of breaking the system structure limit, an advanced sub-Nyquist sampling framework is proposed to simplify the MWC system structure, adopting the single sampling channel structure with a frequency shifting module to acquire the sub-Nyquist sampling values. In order to recover the signal support information, the sensing matrix must be built according to the only one mixing function. Most existing support recovery methods rely on some prior knowledge about the spectrum sparsity, which is difficult to acquire in practical electromagnetic environment. To address this problem, we propose an adaptive residual energy detection algorithm (ARED), which bypasses the need for the above-mentioned prior knowledge. Simulation results show that, without requiring the aforementioned prior knowledge, the ARED algorithm, which is based on the advanced sub-Nyquist sampling framework, has the similar performance as MWC and even higher than MWC in some cases.

Performance Evaluation of Adaptive Indoor Matched Rake Receiver Using Multiple-Combining Techniques

2014 ◽  
Vol 699 ◽  
pp. 921-930
Author(s):  
Rashid Ali Fayadh ◽  
Mohd Fareq Abd Malek ◽  
Hilal Adnan Fadhil ◽  
Norshafinash Saudin
Keyword(s):  
Wireless Communication ◽  
Communication Systems ◽  
High Speed ◽  
Signal To Noise Ratio ◽  
Additive White Gaussian Noise ◽  
High Capacity ◽  
Rake Receiver ◽  
Ultra Wideband ◽  
Line Of Sight ◽  
Wireless Communication Systems

This paper discusses the enhancement of the wireless rake receiver for high speed and short distance indoor ultra wideband (UWB) propagation with line-of sight (LOS) and non line-of sight (NLOS) channel models. The proposed matched rake receiver uses three main combining techniques, maximum ratio combining (MRC), equal gain combining (EGC), and selective combining (SC) to capture most of the energy of the multi-path components (MPCs). When the wireless communication systems work with high capacity and high speed in transmission and reception scenarios, there will be a serious challenge defined as inter-symbol interference (ISI) during the reception process. The ISI causes increasing in the bit error rate (BER) when the wireless communication systems work with high bit rate propagation. The matched rake receiver scheme was designed to suppress ISI by maximizing the signal to noise ratio (SNR) before constructing the desired signal in decision circuit and effectively the system enhancement is improved. After adding additive white Gaussian noise (AWGN) to the received signal, the improvement is cleared comparing with the theoretical results that has no AWGN. During the comparison of the simulation results, MRC partial rake receiver of less complexity showed better performance than the EGC and SC rake receivers.

scholarly journals An Active and Passive Reputation Method for Secure Wideband Spectrum Sensing Based on Blockchain

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1346
Author(s):  
Xinyu Xie ◽  
Zhuhua Hu ◽  
Min Chen ◽  
Yaochi Zhao ◽  
Yong Bai
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Cooperative Spectrum Sensing ◽  
Sampling Rate ◽  
Radio Networks ◽  
Single Node ◽  
Decision Algorithm ◽  
Collusion Attacks ◽  
Wideband Spectrum Sensing

Spectrum is a kind of non-reproducible scarce strategic resource. A secure wideband spectrum sensing technology provides the possibility for the next generation of ultra-dense, ultra-large-capacity communications to realize the shared utilization of spectrum resources. However, for the open collaborative sensing in cognitive radio networks, the collusion attacks of malicious users greatly affect the accuracy of the sensing results and the security of the entire network. To address this problem, this paper proposes a weighted fusion decision algorithm by using the blockchain technology. The proposed algorithm divides the single-node reputation into active reputation and passive reputation. Through the proposed token threshold concept, the active reputation is set to increase the malicious cost of the node; the passive reputation of the node is determined according to the historical data and recent performance of the blockchain. The final node weight is obtained by considering both kinds of reputation. The proposed scheme can build a trust-free platform for the cognitive radio collaborative networks. Compared with the traditional equal-gain combination algorithm and the centralized sensing algorithm based on the beta reputation system, the simulation results show that the proposed algorithm can obtain reliable sensing results with a lower number of assistants and sampling rate, and can effectively resist malicious users’ collusion attacks. Therefore, the security and the accuracy of cooperative spectrum sensing can be significantly improved in cognitive radio networks.

Design and Performance Analysis of Fractal Regular Slotted-Patch Antennas for Ultra-Wideband Communication Systems

2019 ◽  
Vol 105 (3) ◽  
pp. 819-833 ◽  
Author(s):  
Majed O. Dwairi ◽  
Mohamed S. Soliman ◽  
Ahmad A. Alahmadi ◽  
Sami H. A. Almalki ◽  
Iman I. M. Abu Sulayman
Keyword(s):  
Performance Analysis ◽  
Communication Systems ◽  
Ultra Wideband ◽  
Patch Antennas ◽  
And Performance ◽  
Ultra Wideband Communication

Compressed Edge Spectrum Sensing: Extensions and practical considerations

2019 ◽  
Vol 67 (1) ◽  
pp. 51-59
Author(s):  
Edgar Beck ◽  
Carsten Bockelmann ◽  
Armin Dekorsy
Keyword(s):  
Wireless Communication ◽  
Spectrum Sensing ◽  
Industry 4.0 ◽  
Communication Systems ◽  
Sampling Rate ◽  
Wireless Communication Systems ◽  
Active Systems ◽  
Radio Systems ◽  
Edge Spectrum

Abstract Nowadays, spectrum in industrial radio systems is already overoccupied. Therefore, future Industry 4.0 applications require coexistence management of different wireless communication systems. For identification of active systems, we propose Compressed Edge Spectrum Sensing (CESS). Here, we focus on practical aspects and show that the sampling rate can still be highly reduced.

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