Performance Analysis of NOMA-Based Land Mobile Satellite Networks

IEEE Access

Anthony Theodore Chronopoulos¹  Xiaojuan Yan²  Hailin Xiao²  Kang An³  Cheng-Xiang Wang⁴  Gan Zheng⁵ 

[1] Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, USA;Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin University of Electronic Technology, Guilin, China;National University of Defense Technology, Nanjing, China;School of Engineering and Physical Sciences, Institute of Sensors, Signals, and Systems, Heriot-Watt University, Edinburgh, U.K.;Wolfson School of Mechanical, Electrical, and Manufacturing Engineering, Loughborough University, Loughborough, U.K.;

关键词: Land mobile satellite network;    non-orthogonal multiple access;    ergodic capacity;    energy efficiency;    outage probability;    average symbol error rate;   

DOI  :  10.1109/ACCESS.2018.2844783

来源: DOAJ

【 摘 要 】

Non-orthogonal multiple access (NOMA) scheme, which has the ability to superpose information in the power domain and serve multiple users on the same time/frequency resource, is regarded as an effective solution to increase transmit rate and fairness. In this paper, we introduce the NOMA scheme in a downlink land mobile satellite (LMS) network and present a comprehensive performance analysis for the considered system. Specifically, we first obtain the power allocation coefficients by maximizing the sum rate while meeting the predefined target rates of each NOMA user. Then, we derive the theoretical expressions for the ergodic capacity and the energy efficiency of the considered system. Moreover, the outage probability (OP) and average symbol error rate performances of NOMA users are derived analytically. To gain further insights, we derive the asymptotic OP at the high signal-to-noise ratio regime to characterize the diversity orders and coding gains of NOMA users. Finally, simulation results are provided to validate the theoretical analysis as well as the superiority of employing the NOMA scheme in the LMS system, and show the impact of key parameters, such as fading configurations and user selection strategy on the performance of NOMA users.

【 授权许可】

Unknown