Paper Info
Title
Achievable Rate Maximization for Cognitive Hybrid Satellite-Terrestrial Networks With AF-Relays.
Abstract
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.
Year
DOI
Venue
2018
10.1109/JSAC.2018.2804018
IEEE Journal on Selected Areas in Communications
Keywords
Field
DocType
Relays,Resource management,Satellite broadcasting,Interchannel interference,Cognitive radio,Mobile communication,Optimization
Mathematical optimization,Transmitter power output,Fading,Computer science,Communication channel,Real-time computing,Optimization problem,Maximization,Mobile telephony,Relay,Cognitive radio
Journal
Volume
Issue
ISSN
36
2
0733-8716
Citations 
PageRank 
References 
12
0.49
0
Authors
5
Name
Order
Citations
PageRank
Zhetao Li1313.49
Xiao Fu227325.50
Shiguo Wang3312.79
Tingrui Pei44614.75
Jie Li530062.08