Performance Analysis in Satellite Communication With Beam Hopping Using Discrete-Time Queueing Theory

被引:6
作者
Feng, Yizhe [1 ]
Sun, Yaohua [1 ]
Peng, Mugen [1 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
关键词
Beam hopping; discrete-time queueing theory; performance analysis; satellite communication; MASSIVE RANDOM-ACCESS; TO-MACHINE COMMUNICATIONS; RESOURCE-ALLOCATION; SLOTTED ALOHA; OPTIMIZATION; THROUGHPUT; INTERNET; TRANSMISSION; DESIGN; DELAY;
D O I
10.1109/JIOT.2023.3333332
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Satellite communication with beam hopping is a promising approach to meeting wide-area user traffic demands under on-board resource limitation. However, there is currently a lack of theoretical models that characterize the impact of beam hopping on user uplink transmission performance. In this article, two simplified beam hopping modes for satellite communication are proposed, namely, probabilistic beam hopping and deterministic beam hopping. Based on these two modes, two Markov chain models are established, which describe the states and state transitions of users. In the first model, the user state incorporates only user queue length, while the state in the second model considers both user queue length and time slot index. For both models, we first derive their steady-state probabilities and state transition probabilities, and then the steady-state probability of successful packet transmission is solved through a numerical method. Further, we theoretically derive the explicit expressions of various user performance metrics based on the steady-state probability of successful packet transmission, such as average throughput, buffer occupancy rate, packet loss rate, and transmission delay, and simulation results verify the correctness of all expressions. By simulation, it is shown that the minimum beam illumination probability or time length can be determined given specific performance requirements to guide system design, and there is an inflection point for the improvement in system performance with the increase of beam resource. Moreover, it is found that deterministic beam hopping achieves lower user delay compared to probabilistic beam hopping when the system is near to saturation.
引用
收藏
页码:11679 / 11692
页数:14
相关论文
共 44 条
[1]  
Angeletti P., 2006, PROC 24 AIAA INT COM, P53
[2]   Beam Hopping in Multi-Beam Broadband Satellite Systems: System Simulation and Performance Comparison with Non-Hopped Systems [J].
Anzalchi, J. ;
Couchman, A. ;
Gabellini, P. ;
Gallinaro, G. ;
D'Agristina, L. ;
Alagha, N. ;
Angeletti, P. .
2010 5TH ADVANCED SATELLITE MULTIMEDIA SYSTEMS CONFERENCE AND THE 11TH SIGNAL PROCESSING FOR SPACE COMMUNICATIONS WORKSHOP (ASMS/SPSC 2010), 2010, :248-255
[3]  
Berger M.A., 1993, An Introduction to Probability and Stochastic Processes, V1st
[4]   Performance analysis,of the IEEE 802.11 distributed coordination function [J].
Bianchi, G .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2000, 18 (03) :535-547
[5]  
Bolch G., 2006, QUEUEING NETWORKS MA
[6]   The Next Generation of Beam Hopping Satellite Systems: Dynamic Beam Illumination With Selective Precoding [J].
Chen, Lin ;
Ha, Vu Nguyen ;
Lagunas, Eva ;
Wu, Linlong ;
Chatzinotas, Symeon ;
Ottersten, Bjorn .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 22 (04) :2666-2682
[7]   5G Embraces Satellites for 6G Ubiquitous IoT: Basic Models for Integrated Satellite Terrestrial Networks [J].
Fang, Xinran ;
Feng, Wei ;
Wei, Te ;
Chen, Yunfei ;
Ge, Ning ;
Wang, Cheng-Xiang .
IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (18) :14399-14417
[8]  
Harchol-Balter Mor, 2013, Performance modeling and design of computer systems: Queueing theory in action
[9]   Dynamic Beam Hopping Method Based on Multi-Objective Deep Reinforcement Learning for Next Generation Satellite Broadband Systems [J].
Hu, Xin ;
Zhang, Yuchen ;
Liao, Xianglai ;
Liu, Zhijun ;
Wang, Weidong ;
Ghannouchi, Fadhel M. .
IEEE TRANSACTIONS ON BROADCASTING, 2020, 66 (03) :630-646
[10]   Superimposed Pilot Code-Domain NOMA Scheme for Satellite-Based Internet of Things [J].
Jiao, Jian ;
Zhou, Junliang ;
Wu, Shaohua ;
Zhang, Qinyu .
IEEE SYSTEMS JOURNAL, 2021, 15 (02) :2732-2743