Low-Complexity Learning for Dynamic Spectrum Access in Multi-User Multi-Channel Networks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, Sunjung | - |
dc.contributor.author | Joo, Changhee | - |
dc.date.accessioned | 2022-02-14T22:40:44Z | - |
dc.date.available | 2022-02-14T22:40:44Z | - |
dc.date.created | 2022-02-08 | - |
dc.date.issued | 2021-11-01 | - |
dc.identifier.issn | 1536-1233 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/135792 | - |
dc.description.abstract | In cognitive radio networks (CRNs), dynamic spectrum access allows (unlicensed) users to identify and access unused channels opportunistically, thus improves spectrum utilization. In this paper, we address the user-channel allocation problem in multi-user multi-channel CRNs without a prior knowledge of channel statistics. The result of channel access is stochastic with unknown distribution, and statistically different for each user. In deciding the channel for access, a user needs to either explore a channel to learn its statistics, or exploit the channel with the highest expected reward based on the information collected so far. Further, a channel should be accessed exclusively by one user at a time to avoid collision. Using multi-armed bandit framework, we develop two rate-optimal algorithms with low computational complexities of O(N) and O(NK), respectively, where N denotes the number of users and K denotes the number of channels. Further, we extend the results and develop an algorithm that is amenable to implement in a distributed fashion. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE COMPUTER SOC | - |
dc.subject | MULTIARMED BANDIT | - |
dc.subject | ALLOCATION | - |
dc.subject | ASSIGNMENT | - |
dc.subject | ALGORITHMS | - |
dc.title | Low-Complexity Learning for Dynamic Spectrum Access in Multi-User Multi-Channel Networks | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Joo, Changhee | - |
dc.identifier.doi | 10.1109/TMC.2020.2999075 | - |
dc.identifier.scopusid | 2-s2.0-85116522188 | - |
dc.identifier.wosid | 000702553000012 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON MOBILE COMPUTING, v.20, no.11, pp.3267 - 3281 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON MOBILE COMPUTING | - |
dc.citation.title | IEEE TRANSACTIONS ON MOBILE COMPUTING | - |
dc.citation.volume | 20 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 3267 | - |
dc.citation.endPage | 3281 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | ALGORITHMS | - |
dc.subject.keywordPlus | ALLOCATION | - |
dc.subject.keywordPlus | ASSIGNMENT | - |
dc.subject.keywordPlus | MULTIARMED BANDIT | - |
dc.subject.keywordAuthor | Cognitive radio networks | - |
dc.subject.keywordAuthor | combinatorial multi-armed bandits | - |
dc.subject.keywordAuthor | dynamic spectrum access | - |
dc.subject.keywordAuthor | low complexity | - |
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