Performance analysis of NOMA-based land mobile satellite networks
journal contributionposted on 14.08.2018, 10:14 by Xiaojuan Yan, Hailin Xiao, Cheng-Xiang Wang, Kang An, Anthony T. Chronopoulos, Gan Zheng
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.
This work was supported in part by the National Natural Science Foundation of China under Grants 61471392, 61472094, and 61261018, in part by the EPSRC TOUCAN Project under Grant EP/L020009/1, in part by the EU FP7 QUICK Project under Grant PIRSES-GA-2013-612652, in part by the EU H2020 RISE TESTBED Project under Grant 734325, in part by the U.K. EPSRC under Grant EP/N007840/1, in part by the Innovation Project of Guangxi Graduate Education, and in part by the Innovation Project of GUET Graduate Education under Grant 2016YJCXB05.
- Mechanical, Electrical and Manufacturing Engineering