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Advances in Cognitive Radio Networks
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Advances in Cognitive Radio Networks

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".

Deadline for manuscript submissions: closed (10 December 2021) | Viewed by 12040

Special Issue Editor

Dr. Donatella Darsena

E-Mail Website
Guest Editor
Department of Engineering, University of Naples Parthenope, 80133 Naples, Italy
Interests: signal processing; OFDM; cooperative wireless networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The need for efficient utilization of radio spectrum resources is a key requirement in modern wireless networks, as existing and new wireless applications and services require ever-higher transmission capacity and performance.

In this context, cognitive radio (CR) networks, which can adapt wireless transmission schemes through dynamic spectrum access (DSA), represent a valid and well-studied solution. A CR device is a smart radio capable of sensing and acquiring information about the surrounding environment, in order to modify its modulation, coding, and power parameters to achieve more efficient use of channel resources.

The CR network infrastructure plays a fundamental role in managing information about radio devices and their operating environments, evaluating the effects of interference, and enabling cooperation among devices.

A great bulk of research has been carried out to propose efficient solutions in the design, analysis, optimization, development, and deployment of CR networks.

Recently, energy efficiency (EE) is emerging as a major paradigm for next-generation wireless systems. Combining energy harvesting (EH) with CR can improve spectral as well as energy efficiency. In these systems, referred to as radio frequency (RF)-powered CR networks, a CR transmitter harvests RF energy when the legitimate user is present, and uses such energy for its own data transmission when the spectrum is vacant.

In summary, this Special Issue will bring together innovative developments and synergies in the field of cognitive radio networks. Topics of interest include, but are not limited to the following:

  • Spectrum sensing;
  • Measurements and statistical modeling of radio spectrum usage;
  • Waveform, modulation, and RF front-end design at the physical layer (PHY);
  • Multiple access, resource allocation, and transmission power control for CRs;
  • Distributed learning, adaptation, self-configuration, cooperation, and coexistence methods for CRs;
  • Routing in multihop CR networks and cross-layer optimization;
  • Robustness and security in CR networks;
  • Network control and management protocols;
  • Testbeds and real-world deployment of CR networks;
  • RF-powered CR networks.
  • Additive and convolutive superposition coding

Dr. Donatella Darsena
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (5 papers)

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Research

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25 pages, 3115 KiB  
Article
Intelligent Dynamic Real-Time Spectrum Resource Management for Industrial IoT in Edge Computing
by Deok-Won Yun and Won-Cheol Lee
Sensors 2021, 21(23), 7902; https://0-doi-org.brum.beds.ac.uk/10.3390/s21237902 - 26 Nov 2021
Cited by 4 | Viewed by 1918
Abstract
Intelligent dynamic spectrum resource management, which is based on vast amounts of sensing data from industrial IoT in the space–time and frequency domains, uses optimization algorithm-based decisions to minimize levels of interference, such as energy consumption, power control, idle channel allocation, time slot [...] Read more.
Intelligent dynamic spectrum resource management, which is based on vast amounts of sensing data from industrial IoT in the space–time and frequency domains, uses optimization algorithm-based decisions to minimize levels of interference, such as energy consumption, power control, idle channel allocation, time slot allocation, and spectrum handoff. However, these techniques make it difficult to allocate resources quickly and waste valuable solution information that is optimized according to the evolution of spectrum states in the space–time and frequency domains. Therefore, in this paper, we propose the implementation of intelligent dynamic real-time spectrum resource management through the application of data mining and case-based reasoning, which reduces the complexity of existing intelligent dynamic spectrum resource management and enables efficient real-time resource allocation. In this case, data mining and case-based reasoning analyze the activity patterns of incumbent users using vast amounts of sensing data from industrial IoT and enable rapid resource allocation, making use of case DB classified by case. In this study, we confirmed a number of optimization engine operations and spectrum resource management capabilities (spectrum handoff, handoff latency, energy consumption, and link maintenance) to prove the effectiveness of the proposed intelligent dynamic real-time spectrum resource management. These indicators prove that it is possible to minimize the complexity of existing intelligent dynamic spectrum resource management and maintain efficient real-time resource allocation and reliable communication; also, the above findings confirm that our method can achieve a superior performance to that of existing spectrum resource management techniques. Full article
(This article belongs to the Special Issue Advances in Cognitive Radio Networks)
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29 pages, 1491 KiB  
Article
Modeling and Performance Analysis of Opportunistic Link Selection for UAV Communication
by Zhengjia Xu, Ivan Petrunin and Antonios Tsourdos
Sensors 2021, 21(2), 534; https://0-doi-org.brum.beds.ac.uk/10.3390/s21020534 - 13 Jan 2021
Cited by 5 | Viewed by 2295
Abstract
In anticipation of wide implementation of 5G technologies, the scarcity of spectrum resources for the unmanned aerial vehicles (UAVs) communication remains one of the major challenges in arranging safe drone operations. Dynamic spectrum management among multiple UAVs as a tool that is able [...] Read more.
In anticipation of wide implementation of 5G technologies, the scarcity of spectrum resources for the unmanned aerial vehicles (UAVs) communication remains one of the major challenges in arranging safe drone operations. Dynamic spectrum management among multiple UAVs as a tool that is able to address this issue, requires integrated solutions with considerations of heterogeneous link types and support of the multi-UAV operations. This paper proposes a synthesized resource allocation and opportunistic link selection (RA-OLS) scheme for the air-to-ground (A2G) UAV communication with dynamic link selections. The link opportunities using link hopping sequences (LHSs) are allocated in the GCSs for alleviating the internal collisions within the UAV network, offloading the on-board computations in the spectrum processing function, and avoiding the contention in the air. In this context, exclusive technical solutions are proposed to form the prototype system. A sub-optimal allocation method based on the greedy algorithm is presented for addressing the resource allocation problem. A mathematical model of the RA-OLS throughput with above propositions is formulated for the spectrum dense and scarce environments. An interference factor is introduced to measure the protection effects on the primary users. The proposed throughput model approximates the simulated communication under requirements of small errors in the spectrum dense environment and the spectrum scarce environment, where the sensitivity analysis is implemented. The proposed RA-OLS outperforms the static communication scheme in terms of the utilization rate by over 50% in case when multiple links are available. It also enables the collaborative communication when the spectral resources are in scarcity. The impacts from diverse parameters on the RA-OLS communication performance are analyzed. Full article
(This article belongs to the Special Issue Advances in Cognitive Radio Networks)
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23 pages, 686 KiB  
Article
An Energy-Efficient Unselfish Spectrum Leasing Scheme for Cognitive Radio Networks
by Denis Bilibashi, Enrico M. Vitucci, Vittorio Degli-Esposti and Andrea Giorgetti
Sensors 2020, 20(21), 6161; https://0-doi-org.brum.beds.ac.uk/10.3390/s20216161 - 29 Oct 2020
Cited by 6 | Viewed by 2246
Abstract
Cooperative Communications in Cognitive Radio (CR) have been introduced as an essential and efficient technique to improve the transmission performance of primary users and offer transmission opportunities for secondary users. In a typical multiuser Cooperative Communication in CR, each primary user can choose [...] Read more.
Cooperative Communications in Cognitive Radio (CR) have been introduced as an essential and efficient technique to improve the transmission performance of primary users and offer transmission opportunities for secondary users. In a typical multiuser Cooperative Communication in CR, each primary user can choose one secondary user as a relay node. To encourage the cooperative behavior of the secondary users, primary users lease a fraction of their allocated spectrum to the relay secondary users to transmit their data packets. In this work, a novel unselfish spectrum leasing scheme in CR networks is proposed that offers an energy-efficient solution minimizing the environmental impact of our network. A network management architecture is introduced, and resource allocation is proposed as a constrained sum energy efficiency maximization problem. The optimization problem is formulated and solved using non-linear programming methods and based on a modified Kuhn-Munkres bipartite matching algorithm. System simulations demonstrate an increment in the energy efficiency of the primary users’ network compared with previously proposed algorithms. Full article
(This article belongs to the Special Issue Advances in Cognitive Radio Networks)
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Other

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11 pages, 659 KiB  
Letter
Interference Spreading through Random Subcarrier Allocation Technique and Its Error Rate Performance in Cognitive Radio Networks
by Amit Kachroo, Adithya Popuri, Mostafa Ibrahim, Ali Imran and Sabit Ekin
Sensors 2020, 20(19), 5700; https://0-doi-org.brum.beds.ac.uk/10.3390/s20195700 - 07 Oct 2020
Cited by 3 | Viewed by 2087
Abstract
In this letter, we investigate the idea of interference spreading and its effect on bit error rate (BER) performance in a cognitive radio network (CRN). The interference spreading phenomenon is caused because of the random allocation of subcarriers in an orthogonal frequency division [...] Read more.
In this letter, we investigate the idea of interference spreading and its effect on bit error rate (BER) performance in a cognitive radio network (CRN). The interference spreading phenomenon is caused because of the random allocation of subcarriers in an orthogonal frequency division multiplexing (OFDM)-based CRN without any spectrum-sensing mechanism. The CRN assumed in this work is of underlay configuration, where the frequency bands are accessed concurrently by both primary users (PUs) and secondary users (SUs). With random allocation, subcarrier collisions occur among the carriers of primary users (PUs) and secondary users (SUs), leading to interference among subcarriers. This interference caused by subcarrier collisions spreads out across multiple subcarriers of PUs rather than on an individual PU, therefore avoiding high BER for an individual PU. Theoretical and simulated signal to interference and noise ratio (SINR) for collision and no-collision cases are validated for M-quadrature amplitude modulation (M-QAM) techniques. Similarly, theoretical BER performance expressions are found and compared for M-QAM modulation orders under Rayleigh fading channel conditions. The BER for different modulation orders of M-QAM are compared and the relationship of average BER with interference temperature is also explored further. Full article
(This article belongs to the Special Issue Advances in Cognitive Radio Networks)
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13 pages, 682 KiB  
Letter
Opportunistic Interference Alignment for Spectrum Sharing between Radar and Communication Systems
by Dong-Hwan Kim, Janghyuk Youn and Bang Chul Jung
Sensors 2020, 20(17), 4868; https://0-doi-org.brum.beds.ac.uk/10.3390/s20174868 - 28 Aug 2020
Cited by 4 | Viewed by 2261
Abstract
In this paper, we propose a novel opportunistic interference alignment technique for spectrum-shared radar and uplink cellular communication systems where both systems are equipped with multiple antennas. In the proposed OIA technique, the radar system sends its signal so that the radar signal [...] Read more.
In this paper, we propose a novel opportunistic interference alignment technique for spectrum-shared radar and uplink cellular communication systems where both systems are equipped with multiple antennas. In the proposed OIA technique, the radar system sends its signal so that the radar signal is received into interference space at base stations (BSs) of the cellular system, while each uplink user (UE) generates its transmit beamforming vector so that communication signals are received within interference space at the radar receiver. Moreover, to achieve better sum-rate performance of the cellular communication system, the BS selects the UEs which results in sufficiently small interference to other cells for the uplink communication. With the proposed OIA technique, detection performance of the radar system is protected, while the communication system achieves satisfactory sum-rate performance. Through extensive computer simulations, we show that the performances of both radar and communication systems with the proposed technique significantly outperform a conventional null-space projection based spectrum sharing scheme. Full article
(This article belongs to the Special Issue Advances in Cognitive Radio Networks)
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