Effective way of maximizing throughput and channel utilization in cognitive radio based on game theory
| bracu.type.group | Research Publications | |
| datacite.rights | Metadata Only | |
| dc.contributor.author | Azad, Tabassum Binte | |
| dc.contributor.author | Jasmin, Humyra | |
| dc.contributor.author | Mahmud, Sejan | |
| dc.contributor.author | Hassan, Mehedi | |
| dc.contributor.author | Chakrabarty, Amitabha | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| dc.date.accessioned | 2026-08-13T06:41:11Z | |
| dc.date.available | 2026-08-13T06:41:11Z | |
| dc.date.issued | 2018-02-09 | |
| dc.description.abstract | Significant amount of research are focused on the application of game theory in effective spectrum allocation problem in cognitive radio. In this paper Shapley value algorithm has been applied for dynamic network where both authorized and unauthorized users can utilize the radio frequency at the same time with maximum throughput without interfering the authorized users. The allocation process is allowed only when a spectrum has been requested and idle spectrum is present in the network. Fair policy in the spectrum for the unauthorized users has been ensured with a universal price function. Here, results of the proposed method has been compared with other game theory. | |
| dc.description.version | Published | |
| dc.format.extent | 71-74 | |
| dc.identifier.citation | T. B. Azad, H. Jasmin, S. Mahmud, M. Hassan and A. Chakrabarty, "Effective way of maximizing throughput and channel utilization in cognitive radio based on game theory," 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), Dhaka, Bangladesh, 2017, pp. 71-74, doi: 10.1109/R10-HTC.2017.8288909. | |
| dc.identifier.doi | 10.1109/R10-HTC.2017.8288909 | |
| dc.identifier.issn | 9781538621752 | |
| dc.identifier.other | 2-s2.0-85047438005 | |
| dc.identifier.uri | https://hdl.handle.net/10361/29038 | |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.hasversion | 10.1109/R10-HTC.2017.8288909 | |
| dc.relation.ispartof | 5th IEEE Region 10 Humanitarian Technology Conference 2017 R10 Htc 2017 | |
| dc.relation.ispartofseries | 5th IEEE Region 10 Humanitarian Technology Conference 2017 R10 Htc 2017 | |
| dc.relation.uri | https://ieeexplore.ieee.org/document/8288909 | |
| dc.rights | false | |
| dc.subject | Cognitive radio | |
| dc.subject | Primary user | |
| dc.subject | Secondary user | |
| dc.subject | Shapley value | |
| dc.subject | Spectrum allocation | |
| dc.subject.lcsh | Computer communication systems. | |
| dc.subject.lcsh | Cognitive radio networks. | |
| dc.title | Effective way of maximizing throughput and channel utilization in cognitive radio based on game theory | |
| dc.type | Conference Proceeding | |
| oaire.citation.volume | 2018-January | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.identifier.scopus-author-id | 57202207908 | |
| person.identifier.scopus-author-id | 57202199507 | |
| person.identifier.scopus-author-id | 58254552200 | |
| person.identifier.scopus-author-id | 59592394000 | |
| person.identifier.scopus-author-id | 35108854200 |