Information Theory of Cognitive Radio Systems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 178
Special Issue Editors
Interests: massive multiple-input multiple-output (mMIMO) communication (i.e., including co-located mMIMO and cell-free/distributed mMIMO); full-duplex communication (FD); backscatter communication (BackCom); reconfigurable intelligent surfaces (RISs); integrated sensing and communication (ISAC); near-field ISAC; wireless power transfer; cognitive radios; emerging technologies for enabling fifth generation (5G) and beyond wireless networks
Special Issues, Collections and Topics in MDPI journals
Interests: cognitive radios; detection and estimation; diversity and fading countermeasures; multiple-input multiple-output (MIMO) systems; multiuser communications; orthogonal frequency division multiplexing (OFDM); relay-assisted/cooperative communications
Interests: span diverse areas; full-duplex communications; wireless power transfer; OTFS modulation; cell-free massive MIMO
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cognitive radio systems (CRSs) are a transformative technology in modern wireless communication, addressing spectrum scarcity and enabling dynamic resource allocation in increasingly crowded frequency bands. By optimizing spectrum utilization and improving communication efficiency, CRSs have become indispensable for next-generation networks. Information theory provides the fundamental mathematical framework for analyzing and optimizing critical aspects of CRSs, such as spectrum sensing, dynamic channel allocation, and interference management.
The application of information theory to CRSs has yielded significant advancements, including mutual information-based channel modeling, entropy-driven spectrum sensing, and rate-distortion techniques for adaptive coding. These approaches have enabled robust solutions for spectrum sharing, interference mitigation, and efficient data transmission. Despite these achievements, challenges remain, such as mitigating interference under high mobility, ensuring scalability in dense networks, and achieving real-time optimization in uncertain environments. Overcoming these challenges requires novel theoretical frameworks and computational methods that extend traditional information–theoretic principles to the unique complexities of CRSs.
This Special Issue aims to provide a comprehensive platform for exploring new theoretical and practical developments at the intersection of information theory and CRSs. Submissions are invited on topics including, but not limited to, the following:
- Advanced spectrum sensing using entropy and mutual information.
- Information–theoretic frameworks for interference modeling and coexistence.
- Metrics for spectrum efficiency and energy-aware communication.
- Adaptive coding and rate-distortion techniques for dynamic environments.
- Integration of information theory with machine learning for dynamic spectrum access.
- Computational algorithms for real-time optimization and decision-making in CRSs.
Dr. Diluka Galappaththige
Prof. Dr. Chintha Tellambura
Dr. MohammadAli Mohammadi
Guest Editors
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. Entropy is an international peer-reviewed open access monthly 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.
Keywords
- cognitive radio systems
- information theory
- entropy/entropy-based analysis
- spectrum sensing
- dynamic spectrum access
- interference management
- adaptive coding
- rate-distortion theory
- energy-efficient communication
- machine learning for CRSs
- optimization
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