Enhancing Cooperative Spectrum Sensing Efficiency in CBRS-based CRN for Unmanned Mobile Robot Applications
In the rapidly evolving landscape of wireless communications, optimizing spectrum utilization has become paramount. Cognitive radio (CR) technology offers a promising solution by enabling unlicensed secondary users (SUs) to intelligently access and exploit underutilized spectrum bands. The citizens...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2024-12-01
|
Series: | Measurement Science Review |
Subjects: | |
Online Access: | https://doi.org/10.2478/msr-2024-0035 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1846096710315540480 |
---|---|
author | Bharathi V Hallur Giri G Ramarajan S Kumar K Vinoth |
author_facet | Bharathi V Hallur Giri G Ramarajan S Kumar K Vinoth |
author_sort | Bharathi V |
collection | DOAJ |
description | In the rapidly evolving landscape of wireless communications, optimizing spectrum utilization has become paramount. Cognitive radio (CR) technology offers a promising solution by enabling unlicensed secondary users (SUs) to intelligently access and exploit underutilized spectrum bands. The citizens broadband radio service (CBRS) framework provides a structured approach to shared spectrum access, making it ideal for CR systems implementation. However, efficient spectrum sensing, especially within CBRS, is a major challenge due to environmental variations, interference, and the need for timely detection of primary users (PUs). This paper addresses the issue of suboptimal spectrum sensing efficiency in CBRS-based CR systems and proposes innovative approaches to improve cooperative spectrum sensing. We explore a spectrum sensing paradigm that encourages collaboration among secondary users and utilizes their collective intelligence to achieve better spectrum sensing performance. Our goal is to improve spectrum utilization within the CBRS ecosystem and enable more efficient and harmonious sharing of this valuable resource. |
format | Article |
id | doaj-art-94c33c5c21894c28bb74a3793103cd13 |
institution | Kabale University |
issn | 1335-8871 |
language | English |
publishDate | 2024-12-01 |
publisher | Sciendo |
record_format | Article |
series | Measurement Science Review |
spelling | doaj-art-94c33c5c21894c28bb74a3793103cd132025-01-02T06:05:31ZengSciendoMeasurement Science Review1335-88712024-12-0124626026410.2478/msr-2024-0035Enhancing Cooperative Spectrum Sensing Efficiency in CBRS-based CRN for Unmanned Mobile Robot ApplicationsBharathi V0Hallur Giri G1Ramarajan S2Kumar K Vinoth31Kongunadu College of Engineering and Technology, Thottiyam, India2Symbiosis Institute of Digital and Telecom Management, Symbiosis International (Deemed University), Lavale, Pune, India3Department of ECE, Kings College of Engineering, Punalkulam, Tamil Nadu, India4Department of AI&ML, SSM Institute of Engineering and Technology, Dindigul, Tamil Nadu, IndiaIn the rapidly evolving landscape of wireless communications, optimizing spectrum utilization has become paramount. Cognitive radio (CR) technology offers a promising solution by enabling unlicensed secondary users (SUs) to intelligently access and exploit underutilized spectrum bands. The citizens broadband radio service (CBRS) framework provides a structured approach to shared spectrum access, making it ideal for CR systems implementation. However, efficient spectrum sensing, especially within CBRS, is a major challenge due to environmental variations, interference, and the need for timely detection of primary users (PUs). This paper addresses the issue of suboptimal spectrum sensing efficiency in CBRS-based CR systems and proposes innovative approaches to improve cooperative spectrum sensing. We explore a spectrum sensing paradigm that encourages collaboration among secondary users and utilizes their collective intelligence to achieve better spectrum sensing performance. Our goal is to improve spectrum utilization within the CBRS ecosystem and enable more efficient and harmonious sharing of this valuable resource.https://doi.org/10.2478/msr-2024-0035cognitive radiospectrum sensingcitizens broadband radio servicecooperative spectrum sensingspectrum utilization |
spellingShingle | Bharathi V Hallur Giri G Ramarajan S Kumar K Vinoth Enhancing Cooperative Spectrum Sensing Efficiency in CBRS-based CRN for Unmanned Mobile Robot Applications Measurement Science Review cognitive radio spectrum sensing citizens broadband radio service cooperative spectrum sensing spectrum utilization |
title | Enhancing Cooperative Spectrum Sensing Efficiency in CBRS-based CRN for Unmanned Mobile Robot Applications |
title_full | Enhancing Cooperative Spectrum Sensing Efficiency in CBRS-based CRN for Unmanned Mobile Robot Applications |
title_fullStr | Enhancing Cooperative Spectrum Sensing Efficiency in CBRS-based CRN for Unmanned Mobile Robot Applications |
title_full_unstemmed | Enhancing Cooperative Spectrum Sensing Efficiency in CBRS-based CRN for Unmanned Mobile Robot Applications |
title_short | Enhancing Cooperative Spectrum Sensing Efficiency in CBRS-based CRN for Unmanned Mobile Robot Applications |
title_sort | enhancing cooperative spectrum sensing efficiency in cbrs based crn for unmanned mobile robot applications |
topic | cognitive radio spectrum sensing citizens broadband radio service cooperative spectrum sensing spectrum utilization |
url | https://doi.org/10.2478/msr-2024-0035 |
work_keys_str_mv | AT bharathiv enhancingcooperativespectrumsensingefficiencyincbrsbasedcrnforunmannedmobilerobotapplications AT hallurgirig enhancingcooperativespectrumsensingefficiencyincbrsbasedcrnforunmannedmobilerobotapplications AT ramarajans enhancingcooperativespectrumsensingefficiencyincbrsbasedcrnforunmannedmobilerobotapplications AT kumarkvinoth enhancingcooperativespectrumsensingefficiencyincbrsbasedcrnforunmannedmobilerobotapplications |