Energy-Efficient User Association and Resource Allocation for Multistream Carrier Aggregation
Multistream carrier aggregation (MSCA) is a promising technique to boost data rates by enabling users to connect with multiple base stations (BSs) simultaneously. In this paper, the authors investigate joint user association and resource allocation for MSCA systems to achieve energy efficiency (EE) balance among different BSs. The authors aim at maximizing the weighted summation of EE values for different BSs, which is modeled as a nonconvex combinatorial sum-of-ratios optimization problem. To develop an upper bound algorithm, the authors first relax the combinatorial variables and then transform the problem into a series of convex optimization problems by the successive convex approximation (SCA) method. The authors also propose a low-complexity suboptimal algorithm, which divides the original optimization problem into two steps: user association and channel allocation, as well as power allocation. Numerical results show that the proposed algorithms can achieve flexible EE tradeoff among BSs, and the EE can be significantly improved with MSCA.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
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Supplemental Notes:
- Copyright © 2016, IEEE.
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Authors:
- Chen, Qimei
- Yu, Guanding
- Yin, Rui
- Li, Geoffrey Ye
- Publication Date: 2016-8
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 6366-6376
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Serial:
- IEEE Transactions on Vehicular Technology
- Volume: 65
- Issue Number: 8
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 0018-9545
- Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25
Subject/Index Terms
- TRT Terms: Algorithms; Energy conservation; Mathematical programming; Methodology; Resource allocation; Transmission techniques
- Subject Areas: Data and Information Technology; Energy; Highways;
Filing Info
- Accession Number: 01612372
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 29 2016 9:17AM