Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142883
Title: Improving spectrum management for satellite communication systems with hunger marketing
Authors: Li, Feng
Lam, Kwok-Yan
Hua, Jingyu
Zhao, Kanglian
Zhao, Nan
Wang, Li
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: Li, F., Lam, K.-Y., Hua, J., Zhao, K., Zhao, N., & Wang, L. (2019). Improving spectrum management for satellite communication systems with hunger marketing. IEEE Wireless Communications Letters, 8(3), 797-800. doi:10.1109/LWC.2019.2893659
Journal: IEEE Wireless Communications Letters 
Abstract: Efficient spectrum management is an important issue in satellite communications due to the pervasive growth in wireless communications and the ever-increasing demand by bandwidth-hungry mobile applications. While various kinds of static and dynamic spectrum allocation schemes have been studied by satellite researchers, the issue of unpredictable user behavior, hence demand for bandwidth, remains one of the key challenges faced by the research community. In this letter, we introduce the hunger marketing strategy in satellite spectrum management in order to address the unpredictable user demands. When adopting hunger marketing, the system always maintain a certain level of spectrum supply shortage, thus stimulating the desire of users to plan and commit their bandwidth requirements in advance, hence making their behavior more predictable and benefiting satellite systems. Besides, in circumstances of multibeam satellite systems, when allocating bands to new satellite users, the issue of increase in inter-cell interference is also considered in this letter. Thus, a two-stage dynamic game model based on hunger marketing is proposed which aims to achieve an optimal balance between spectrum utilization and inter-cell interference. Numerical results are presented to show the effectiveness of the proposed method.
URI: https://hdl.handle.net/10356/142883
ISSN: 2162-2337
DOI: 10.1109/LWC.2019.2893659
Schools: School of Computer Science and Engineering 
Research Centres: Research Techno Plaza 
Rights: © 2019 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. The published version is available at: https://doi.org/10.1109/LWC.2019.2893659
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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