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

• Wei Yang,
• Xiaojun Jing,
• Hai Huang,
• Chunsheng Zhu,
• Qiaojie Jiang,
• Dongliang Xie,

Vol. 15, No. 11, November 30, 2021
10.3837/tiis.2021.11.018, Download Paper (Free):

• Internet of Things
• Channel Model
• HAPS
• cell capacity
• quasi-stationary state

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.

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