Precoding design of low-orbit satellite communication based on energy efficiency

Yang Liu; Lu Feng

doi:10.1117/12.2635844

5 May 2022 Precoding design of low-orbit satellite communication based on energy efficiency

Yang Liu, Lu Feng

Proceedings Volume 12245, International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2022); 1224505 (2022) https://doi.org/10.1117/12.2635844
Event: International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2022), 2022, Sanya, China

Abstract

Aiming at the limited energy load of LEO satellites, this paper researches on the digital precoding design of LEO satellite communication system based on energy efficiency (EE) maximization, combining with massive multiple-input multiple-output (Multiple-Input Multiple-Output, MIMO) precoding technology. At the same time ,we consider the joint constraints of quality of service (QoS) and total transmission power. First, the system model and channel model are analyzed. Then, for the fractional programming problem of EE maximization modeling, the Dinkelbach algorithm and the zero forcing (ZF ) precoding algorithm are combined to complete the precoding design. The simulation results show that the algorithm design can show good performance while ensuring QoS.

Citation Download Citation

Yang Liu and Lu Feng "Precoding design of low-orbit satellite communication based on energy efficiency", Proc. SPIE 12245, International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2022), 1224505 (5 May 2022); https://doi.org/10.1117/12.2635844

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available