Optimal Power Control for Cognitive LEO Constellation With Terrestrial Networks

Power control plays a significant role in cognitive networks, which promotes the spectrum sharing between heterogeneous systems. This letter presents the mathematical model for cognitive low earth orbit (LEO) satellite constellation with terrestrial networks, which takes the dynamic characteristics of the LEO satellite into consideration. Two optimal power control schemes are proposed from the long-term and short-term perspectives, which aims to maximize the delay-limited capacity and minimize the outage probability, respectively. Solutions to the optimization problems are analyzed, and numerical results evaluate the performance of the schemes.

[1]  Mario Marchese,et al.  Small satellites and CubeSats: Survey of structures, architectures, and protocols , 2018, Int. J. Satell. Commun. Netw..

[2]  C. H. Liu,et al.  An analytical model to predict the probability density function of elevation angles for LEO satellite systems , 2002, IEEE Communications Letters.

[3]  Ali Abdi,et al.  A new simple model for land mobile satellite channels: first- and second-order statistics , 2003, IEEE Trans. Wirel. Commun..

[4]  Gan Zheng,et al.  Optimal Power Control for Real-Time Applications in Cognitive Satellite Terrestrial Networks , 2017, IEEE Communications Letters.

[5]  Simone Morosi,et al.  From Connectivity to Advanced Internet Services: A Comprehensive Review of Small Satellites Communications and Networks , 2019, Wirel. Commun. Mob. Comput..

[6]  Symeon Chatzinotas,et al.  Satellite cognitive communications: Interference modeling and techniques selection , 2012, 2012 6th Advanced Satellite Multimedia Systems Conference (ASMS) and 12th Signal Processing for Space Communications Workshop (SPSC).

[7]  Milton Abramowitz,et al.  Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables , 1964 .

[8]  Buddy Walls,et al.  Constellations, clusters, and communication technology: Expanding small satellite access to space , 2016, 2016 IEEE Aerospace Conference.

[9]  K. J. Ray Liu,et al.  Advances in cognitive radio networks: A survey , 2011, IEEE Journal of Selected Topics in Signal Processing.

[10]  M. Abramowitz,et al.  Handbook of Mathematical Functions With Formulas, Graphs and Mathematical Tables (National Bureau of Standards Applied Mathematics Series No. 55) , 1965 .

[11]  Philip Constantinou,et al.  Power Allocation in Cognitive Satellite Terrestrial Networks with QoS Constraints , 2013, IEEE Communications Letters.

[12]  Athanasios D. Panagopoulos,et al.  Optimal iSINR‐based power control for cognitive satellite terrestrial networks , 2017, Trans. Emerg. Telecommun. Technol..