Achievable Rate Maximization for Cognitive Hybrid Satellite-Terrestrial Networks With AF-Relays
Due to overshadow and channel fading, many mobile users are unable to receive the signal transmitted from satellite directly. Hence, some relay stations should be set to help this type of users to receive signals reliably. In this paper, we present a novel cognitive hybrid satellite-terrestrial mode...
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Veröffentlicht in: | IEEE journal on selected areas in communications 2018-02, Vol.36 (2), p.304-313 |
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creator | Li, Zhetao Xiao, Fu Wang, Shiguo Pei, Tingrui Li, Jie |
description | Due to overshadow and channel fading, many mobile users are unable to receive the signal transmitted from satellite directly. Hence, some relay stations should be set to help this type of users to receive signals reliably. In this paper, we present a novel cognitive hybrid satellite-terrestrial model, where two cognitive relays forward their received signal for a mobile user successively. Furthermore, we address its achievable rate maximization. We first convert the co-channel interference threshold into transmit power constraints, and then formulate the maximization of the achievable rate as an optimization problem. Based on Karush-Kuhn-Tucker conditions, the optimization problem is decomposed into four cases, each of which is solved in closed form. Simulation study with different system settings is presented, and the efficiency of the proposed power allocation scheme is shown. |
doi_str_mv | 10.1109/JSAC.2018.2804018 |
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Hence, some relay stations should be set to help this type of users to receive signals reliably. In this paper, we present a novel cognitive hybrid satellite-terrestrial model, where two cognitive relays forward their received signal for a mobile user successively. Furthermore, we address its achievable rate maximization. We first convert the co-channel interference threshold into transmit power constraints, and then formulate the maximization of the achievable rate as an optimization problem. Based on Karush-Kuhn-Tucker conditions, the optimization problem is decomposed into four cases, each of which is solved in closed form. 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subjects | Cognitive radio cooperative networks energy consumption Interchannel interference Mobile communication Optimization Relays Resource management Satellite broadcasting Satellite-terrestrial communication |
title | Achievable Rate Maximization for Cognitive Hybrid Satellite-Terrestrial Networks With AF-Relays |
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