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  2020, Vol. 1 Issue (3): 271-280    doi: 10.23919/ICN.2020.0022
    
Interference management in 6G space and terrestrial integrated networks: Challenges and approaches
Shi Yan(),Xueyan Cao(),Zile Liu(),Xiqing Liu*()
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
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Abstract  

The Space-Terrestrial Integrated Network (STIN) is considered to be a promising paradigm for realizing worldwide wireless connectivity in sixth-Generation (6G) wireless communication systems. Unfortunately, excessive interference in the STIN degrades the wireless links and leads to poor performance, which is a bottleneck that prevents its commercial deployment. In this article, the crucial features and challenges of STIN-based interference are comprehensively investigated, and some candidate solutions for Interference Management (IM) are summarized. As traditional IM techniques are designed for single-application scenarios or specific types of interference, they cannot meet the requirements of the STIN architecture. To address this issue, we propose a self-adaptation IM method that reaps the potential benefits of STIN and is applicable to both rural and urban areas. A number of open issues and potential challenges for IM are discussed, which provide insights regarding future research directions related to STIN.

Key words： Interference Management (IM)      power control      dynamic frequency sharing      Space-Terrestrial Integrated Networks (STIN)     
Received: 14 October 2020      Online: 19 August 2021
Fund:  National Key R&D Program of China(2020YFB1806703);National Natural Science Foundation of China(61901315);State Major Science and Technology Special Project(2018ZX03001023);Fundamental Research Funds for the Central Universities(2020RC03)
Corresponding Authors: Xiqing Liu     E-mail: yanshi01@bupt.edu.cn;caoxueyan98@126.com;lzl_bupt@bupt.edu.cn;liuxiqing@bupt.edu.cn
About author: Shi Yan received the PhD degree in communication and information engineering from Beijing University of Posts and Telecommunications (BUPT), China in 2017. He is currently an associate professor at the State Key Laboratory of Networking and Switching Technology, BUPT. In 2015, he was an academic visiting scholar in Arizona State University, Tempe, AZ, USA. His research interests include game theory, resource management, deep reinforcement learning, stochastic geometry, and fog radio access networks.|Xueyan Cao received the BEng degree in applied physics from BUPT, Beijing, China in 2017, where she is currently a PhD candidate at the State Key Laboratory of Networking and Switching Technology, BUPT. Her current research interests include game theory, resource allocation, networking in maritime network, and fog radio access networks.|Zile Liu received the BEng degree in telecommunications engineering from the BUPT, China in 2019. He is currently a master student at the State Key Laboratory of Networking and Switching Technology, BUPT. His main research interest is maritime communication.|Xiqing Liu received the MS and PhD degrees from the Harbin University of Science and Technology and Harbin Institute of Technology, Harbin, China in 2012 and 2017, respectively. Currently, he is an associate research fellow at the State Key Laboratory of Networking and Switching Technology, School of Information and Communication Engineering, BUPT. His current research interests include interference suppression in multicarrier systems, non-orthogonal multiple access, and MIMO technologies.
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Shi Yan
Xueyan Cao
Zile Liu
Xiqing Liu
Cite this article:

Shi Yan,Xueyan Cao,Zile Liu,Xiqing Liu. Interference management in 6G space and terrestrial integrated networks: Challenges and approaches. , 2020, 1: 271-280.

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http://icn.tsinghuajournals.com/10.23919/ICN.2020.0022     OR     http://icn.tsinghuajournals.com/Y2020/V1/I3/271

Fig. 1 STIN architectures in rural and urban areas.
Fig. 2 (a) Schematic of dynamic frequency sharing and (b) simulation results.
Fig. 3 Schematic of spatial interference cancellation for addressing interbeam interference.
Fig. 4 Outage probabilities of BS and satellite UEs with different schemes as a function of the SINR.
Fig. 5 (a) Schematic of coordinated power control and (b) simulation results.
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