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http://dx.doi.org/10.3837/tiis.2021.11.018

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

Yang, Wei (State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications)
Jing, Xiaojun (School of Information and Communication Engineering, Beijing University of Posts and Telecommunications)
Huang, Hai (School of Information and Communication Engineering, Beijing University of Posts and Telecommunications)
Zhu, Chunsheng (Institute of Future Networks, Southern University of Science and Technology)
Jiang, Qiaojie (Guangdong Southern Planning & Designing Institute of Telecom Consultation Co., Ltd.)
Xie, Dongliang (State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.15, no.11, 2021 , pp. 4203-4223 More about this Journal
Abstract
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.
Keywords
Internet of Things; channel model; HAPS; cell capacity; quasi-stationary state;
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