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Spectrum detection and link quality assessment for heterogeneous shared access networks
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Li, Bin, Guo, Weisi, Zhang, Haijun, Zhao, Chenglin, Li, Shenghong and Nallanathan, Arumugam (2019) Spectrum detection and link quality assessment for heterogeneous shared access networks. IEEE Transactions on Vehicular Technology, 68 (2). pp. 1431-1445. doi:10.1109/tvt.2018.2886204 ISSN 0018-9545.
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WRAP-spectrum-detection-link-heterogeneous-networks-Guo-2018.pdf - Accepted Version - Requires a PDF viewer. Download (976Kb) | Preview |
Official URL: https://doi.org/10.1109/tvt.2018.2886204
Abstract
The persistent awareness of dynamic links quality is of critical importance to shared access systems, e.g. promoting sensing accuracy or even enabling seamless sharing, which remains yet as a challenging task. In this work, we consider the shared access in heterogeneous small-cells, which are likely to be the main infrastructure components by utilizing the carrier aggregation (CA) scheme, potentially combining both licensed and unlicensed bands. We suggest a promising sensing scheme, which permits the simultaneous assessment of multiple links quality when detecting vacant spectrum. We incorporate an additional objective of acquiring dynamic link state information (LSI) of multiple incumbent transmitters/receivers, and thereby structure spectrum sensing as a mixed classification and estimation (MCE) problem. The main challenge is that multiple channels may become similar with each other, and existing joint estimation schemes are unable to distinguish which incumbent is active and what its associated channel state is. To address this indistinguishable problem and alleviate the error propagation in recursive estimations, a novel alternating Bernoulli filtering (ABF) algorithm is proposed. By fully exploiting the group transitional behaviour of incumbents, a multiple-chains inference framework is developed. Numerical simulations validate our new scheme. Occupancy states of multiple incumbents can be identified accurately, by tracking their links quality and exploiting the underlying dynamics, which lays the foundation for more effective shared access.
Item Type: | Journal Article | ||||||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||||||
Library of Congress Subject Headings (LCSH): | Spread spectrum communications | ||||||||||||
Journal or Publication Title: | IEEE Transactions on Vehicular Technology | ||||||||||||
Publisher: | IEEE | ||||||||||||
ISSN: | 0018-9545 | ||||||||||||
Official Date: | 1 February 2019 | ||||||||||||
Dates: |
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Volume: | 68 | ||||||||||||
Number: | 2 | ||||||||||||
Page Range: | pp. 1431-1445 | ||||||||||||
DOI: | 10.1109/tvt.2018.2886204 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Re-use Statement: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||||
Date of first compliant deposit: | 17 December 2018 | ||||||||||||
Date of first compliant Open Access: | 17 December 2018 | ||||||||||||
RIOXX Funder/Project Grant: |
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