An Efficient Markov Chain Based Channel Model for 6G Enabled Massive Internet of Things

Yang, Wei1,2; Jing, Xiaojun3; Huang, Hai3; Zhu, Chunsheng4,5; Jiang, Qiaojie2; Xie, Dongliang1

2021-11-30

10.3837/tiis.2021.11.018

KSII Transactions on Internet and Information Systems   影响因子和分区

1976-7277

Accelerated by the Internet of Things (IoT), the need for further technical innovations and developments within wireless communications beyond the fifth generation (B5G) networks is up-and-coming in the past few years. High altitude platform station (HAPS) communication is expected to achieve such high levels that, with high data transfer rates and low latency, millions of devices and applications can work seamlessly. The HAPS has emerged as an indispensable component of next-generations of wireless networks, which will therefore play an important role in promoting massive IoT interconnectivity with 6G. The performance of communication and key technology mainly depend on the characteristic of channel, thus we propose an efficient Markov chain based channel model, then analyze the HAPS communication system's uplink capability and swing effect through experiments. According to the simulation results, the efficacy of the proposed scheme is proven to meet the requirements of ubiquitous connectivity in future IoT enabled by 6G.

Internet of Things channel model HAPS cell capacity quasi-stationary state

SCI ; EI

英语

其他

China Scholarship Council[20173109] ; National Natural Science Foundation of China[61901049]

Computer Science ; Telecommunications

Computer Science, Information Systems ; Telecommunications

WOS:000725289600018

KSII-KOR SOC INTERNET INFORMATION

20215211389054

Data transfer ; Data transfer rates ; Markov processes

Data Communication, Equipment and Techniques:722.3 ; Computer Software, Data Handling and Applications:723 ; Probability Theory:922.1

Web of Science

1.Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
2.Guangdong Southern Planning & Designing Inst Tele, Shenzhen 518038, Peoples R China
3.Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
4.Southern Univ Sci & Technol, Inst Future Networks, Shenzhen 518055, Peoples R China
5.Peng Cheng Lab, Res Ctr Networks & Commun, Shenzhen 518055, Peoples R China

Yang, Wei,Jing, Xiaojun,Huang, Hai,et al. An Efficient Markov Chain Based Channel Model for 6G Enabled Massive Internet of Things[J]. KSII Transactions on Internet and Information Systems,2021,15(11):4203-4223.

Yang, Wei,Jing, Xiaojun,Huang, Hai,Zhu, Chunsheng,Jiang, Qiaojie,&Xie, Dongliang.(2021).An Efficient Markov Chain Based Channel Model for 6G Enabled Massive Internet of Things.KSII Transactions on Internet and Information Systems,15(11),4203-4223.

Yang, Wei,et al."An Efficient Markov Chain Based Channel Model for 6G Enabled Massive Internet of Things".KSII Transactions on Internet and Information Systems 15.11(2021):4203-4223.