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Title: Optimal power control for real-time applications in cognitive satellite terrestrial networks
Authors: Shi, Shengchao
Li, Guangxi
An, Kang
Li, Zhiqiang
Zheng, Gan
Keywords: Power control
Satellite terrestrial networks
17 real-time applications
Delay-limited capacity
Outage capacity
Issue Date: 2017
Publisher: © IEEE
Citation: SHI, S. ... et al, 2017. Optimal power control for real-time applications in cognitive satellite terrestrial networks. IEEE Communications Letters, doi:10.1109/LCOMM.2017.2684798.
Abstract: Cognitive satellite terrestrial networks have received considerable attention as a promising candidate to address the spectrum scarcity problem in future wireless communications. When satellite networks act as cognitive users in the networks, power control is a significant research challenge in the uplink case, especially for real-time applications. In this context, we propose two optimal power control schemes with the objectives of maximizing the delay-limited capacity and outage capacity, respectively, which are useful performance indicators for real-time applications. From the long-term and short-term aspects, average and peak power constraints are adopted respectively at the satellite user to limit the harmful interference caused to the terrestrial base station (BS). Extensive numerical results are given to demonstrate the impact of interference constraints and channel condition parameters on the performance limits of satellite users.
Description: © 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.
Sponsor: This work is supported by National Natural Science Foundation of China (No. 61571464, 61601511, 91338201, 91438109 and 61401507).
Version: Accepted for publication
DOI: 10.1109/LCOMM.2017.2684798
URI: https://dspace.lboro.ac.uk/2134/25160
Publisher Link: http://dx.doi.org/10.1109/LCOMM.2017.2684798
ISSN: 1089-7798
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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