COCO: Coherent Consensus Schema For Dynamic Spectrum Allocation For 5G
Numerous wireless technologies have been integrated to provide 5th generation (5G) communication networks capable of delivering mission-critical applications and services. Despite considerable developments in a variety of supporting technologies, next-generation cellular deployments may still face s...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/1388941 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849304291313975296 |
|---|---|
| author | C. Rajesh Babu Kadiyala Ramana R. Jeya Asadi Srinivasulu |
| author_facet | C. Rajesh Babu Kadiyala Ramana R. Jeya Asadi Srinivasulu |
| author_sort | C. Rajesh Babu |
| collection | DOAJ |
| description | Numerous wireless technologies have been integrated to provide 5th generation (5G) communication networks capable of delivering mission-critical applications and services. Despite considerable developments in a variety of supporting technologies, next-generation cellular deployments may still face severe bandwidth constraints as a result of inefficient radio spectrum use. To this end, a variety of appropriate frameworks have recently emerged that all aid mobile network operators (MNOs) in making effective use of the abundant frequency bands that other incumbents reserve for their own use. The proposed COCO model for Dynamic Spectrum Allocation (DSA) has 2 functionalities such as 1. Coherent PU-SU packet acceptance algorithm for Secondary User (SU) in DSA. 2. Consensus Algorithm for PU-SU Channel Reservation in DSA. To enable a 5G service with one-millisecond latency, interconnection ports between operators are expected to be required at every base station, which would have a significant influence on the topological structure of the core network. Additionally, just one radio network infrastructure would need to be created, which all operators would then be able to use. We allow change of PU SU characteristics to satisfy the needs of new services. These modifications are accomplished via the use of Coherent and Consensus Algorithms that regulate PU and SU through negotiation and allocation procedures. Our primary objective was to decrease interference, handoff latency, and the chance of blocking. In this paper, we describe our idea for employing COCO Model to address the issues of spectrum mobility, sharing, and handoff for Cognitive Radio Networks in 5G. |
| format | Article |
| id | doaj-art-19cca28a4aae493fa41b0e4b8a3573d4 |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-19cca28a4aae493fa41b0e4b8a3573d42025-08-20T03:55:45ZengWileyComplexity1099-05262022-01-01202210.1155/2022/1388941COCO: Coherent Consensus Schema For Dynamic Spectrum Allocation For 5GC. Rajesh Babu0Kadiyala Ramana1R. Jeya2Asadi Srinivasulu3Department of Network and CommunicationsDepartment of Information TechnologyDepartment of Computing TechnologiesData Science Research LabNumerous wireless technologies have been integrated to provide 5th generation (5G) communication networks capable of delivering mission-critical applications and services. Despite considerable developments in a variety of supporting technologies, next-generation cellular deployments may still face severe bandwidth constraints as a result of inefficient radio spectrum use. To this end, a variety of appropriate frameworks have recently emerged that all aid mobile network operators (MNOs) in making effective use of the abundant frequency bands that other incumbents reserve for their own use. The proposed COCO model for Dynamic Spectrum Allocation (DSA) has 2 functionalities such as 1. Coherent PU-SU packet acceptance algorithm for Secondary User (SU) in DSA. 2. Consensus Algorithm for PU-SU Channel Reservation in DSA. To enable a 5G service with one-millisecond latency, interconnection ports between operators are expected to be required at every base station, which would have a significant influence on the topological structure of the core network. Additionally, just one radio network infrastructure would need to be created, which all operators would then be able to use. We allow change of PU SU characteristics to satisfy the needs of new services. These modifications are accomplished via the use of Coherent and Consensus Algorithms that regulate PU and SU through negotiation and allocation procedures. Our primary objective was to decrease interference, handoff latency, and the chance of blocking. In this paper, we describe our idea for employing COCO Model to address the issues of spectrum mobility, sharing, and handoff for Cognitive Radio Networks in 5G.http://dx.doi.org/10.1155/2022/1388941 |
| spellingShingle | C. Rajesh Babu Kadiyala Ramana R. Jeya Asadi Srinivasulu COCO: Coherent Consensus Schema For Dynamic Spectrum Allocation For 5G Complexity |
| title | COCO: Coherent Consensus Schema For Dynamic Spectrum Allocation For 5G |
| title_full | COCO: Coherent Consensus Schema For Dynamic Spectrum Allocation For 5G |
| title_fullStr | COCO: Coherent Consensus Schema For Dynamic Spectrum Allocation For 5G |
| title_full_unstemmed | COCO: Coherent Consensus Schema For Dynamic Spectrum Allocation For 5G |
| title_short | COCO: Coherent Consensus Schema For Dynamic Spectrum Allocation For 5G |
| title_sort | coco coherent consensus schema for dynamic spectrum allocation for 5g |
| url | http://dx.doi.org/10.1155/2022/1388941 |
| work_keys_str_mv | AT crajeshbabu cococoherentconsensusschemafordynamicspectrumallocationfor5g AT kadiyalaramana cococoherentconsensusschemafordynamicspectrumallocationfor5g AT rjeya cococoherentconsensusschemafordynamicspectrumallocationfor5g AT asadisrinivasulu cococoherentconsensusschemafordynamicspectrumallocationfor5g |