Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/106447
Title: Joint pricing and power allocation for multibeam satellite systems with dynamic game model
Authors: Li, Feng
Lam, Kwok-Yan
Liu, Xin
Wang, Jian
Zhao, Kanglian
Wang, Li
Keywords: Multibeam Satellite System (MSS)
Satellite Communication
DRNTU::Engineering::Computer science and engineering
Issue Date: 2018
Source: Li, F., Lam, K.-Y., Liu, X., Wang, J., Zhao, K., & Wang, L. (2018). Joint Pricing and Power Allocation for Multibeam Satellite Systems With Dynamic Game Model. IEEE Transactions on Vehicular Technology, 67(3), 2398-2408. doi:10.1109/TVT.2017.2771770
Series/Report no.: IEEE Transactions on Vehicular Technology
Abstract: Multibeam satellite systems (MSS) enable transmission flexibility and spatial diversity while efficiently reusing the scarce spectrum resource. However, as spectrum reuses tend to introduce co-channel interference, MSS need to address power allocation and interference management carefully. In this paper, we tackle the joint interference pricing and power allocation problems of MSS by formulating the underlying resource allocation problem as a dynamic game model - the Stackelberg model. In our proposed scheme, a fresh satellite user will be charged according to its interference on the satellite system. MSS can dynamically adjust the interference price in order to make a tradeoff between intercell interference and operating profit. Meanwhile, for the satellite user, an equilibrium power allocation should be ascertained in response to the MSS's pricing. A novel market-based solution is proposed for interference management in MSS by introducing an elastic price mechanism. The Nash equilibrium for interference pricing and its iterative convergence for power allocation have further been proven. Numerical results are provided to evaluate the impact of different prices on the utility functions of both MSS and satellite users.
URI: https://hdl.handle.net/10356/106447
http://hdl.handle.net/10220/48359
ISSN: 0018-9545
DOI: 10.1109/TVT.2017.2771770
Rights: © 2017 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/TVT.2017.2771770.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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