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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 77628 | - |
dc.citation.startPage | 77618 | - |
dc.citation.title | IEEE ACCESS | - |
dc.citation.volume | 7 | - |
dc.contributor.author | Hong, Sung-Tae | - |
dc.contributor.author | Lee, Harim | - |
dc.contributor.author | Kim, Hyoil | - |
dc.contributor.author | Yang, Hyun Jong | - |
dc.date.accessioned | 2023-12-21T19:07:55Z | - |
dc.date.available | 2023-12-21T19:07:55Z | - |
dc.date.created | 2019-05-28 | - |
dc.date.issued | 2019-06 | - |
dc.description.abstract | Licensed assisted access LTE (LAA-LTE) aggregates 5 GHz unlicensed bands with LTE's licensed bands via carrier aggregation, and adopts energy detection (ED)-based clear channel assessment (CCA) for protection of coexisting Wi-Fi devices. Since LAA-LTE requires the ED threshold should be set conservatively in the potential presence of Wi-Fi, the spatial spectrum reuse of the LAA-LTE will be much impaired. Such non-flexible thresholding has been introduced mainly due to ED's incapability of differentiating Wi-Fi frames from LTE frames. As a remedy, this paper proposes a lightweight but effective Wi-Fi frame detection method with which the LAA-LTE devices can capture a Wi-Fi preamble by only using the LAA-LTE's own time domain samples while incurring very small latency. Built upon the proposed method, we also propose the Wi-Fi energy tracking algorithm to identify the duration of a Wi-Fi frame, and a dynamic ED threshold selection algorithm. The proposed schemes were evaluated via the MATLAB simulations and USRP-based experiments, through which their efficacy has been confirmed, e.g., Wi-Fi frame detection probability up to 98.7%. Moreover, via extensive NS-3 based simulations with a multi-cell coexistence topology, we further revealed that the proposed mechanism not only enhances the spatial efficiency of the LAA-LTE achieving up to 23.68% more throughput than the legacy LAA-LTE but also protects coexisting Wi-Fi better. | - |
dc.identifier.bibliographicCitation | IEEE ACCESS, v.7, pp.77618 - 77628 | - |
dc.identifier.doi | 10.1109/ACCESS.2019.2921724 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.scopusid | 2-s2.0-85068322814 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/26720 | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/8732932 | - |
dc.identifier.wosid | 000473767400001 | - |
dc.language | 영어 | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Lightweight Wi-Fi Frame Detection for Licensed Assisted Access LTE | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications | - |
dc.relation.journalResearchArea | Computer Science; Engineering; Telecommunications | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Algorithm design and analysis | - |
dc.subject.keywordAuthor | Cellular networks | - |
dc.subject.keywordAuthor | Computer simulation | - |
dc.subject.keywordAuthor | Wireless LAN | - |
dc.subject.keywordAuthor | LAA-LTE | - |
dc.subject.keywordAuthor | Schmidl-Cox detection | - |
dc.subject.keywordPlus | THROUGHPUT | - |
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