Random Access Preamble Design for 6G Satellite-Terrestrial Integrated Communication Systems.

Area of Science:

• Wireless Communication
• Telecommunications Engineering
• Signal Processing

Background:

• Next-generation (6G) wireless networks aim for ubiquitous connectivity via satellite-terrestrial integrated communication systems (STICSs).
• Massive Internet of Things (IoT) deployments in diverse environments (remote, disaster-prone) require robust network entry mechanisms.
• Conventional terrestrial random access signals face significant challenges in STICSs due to satellite characteristics like delay and frequency offset.

Purpose of the Study:

• To analyze the limitations of current terrestrial preamble designs in 6G STICSs.
• To propose a novel preamble design resistant to carrier frequency offset (CFO) for STICSs.
• To develop a root set selection algorithm for expanding random access signal pools in STICSs.

Main Methods:

• Analysis of challenges in adapting terrestrial preamble designs (e.g., Zadoff-Chu sequences) for STICSs.
• Development and description of a CFO-resistant preamble design and its detection procedure.
• Presentation of a root set selection algorithm for generating diverse random access signals.

Main Results:

• Identified unsuitability of conventional Zadoff-Chu sequences for 6G STICS random access.
• Proposed a new preamble design specifically addressing CFO in STICS environments.
• Developed an algorithm to expand the pool of random access signals for massive IoT.

Conclusions:

• The proposed CFO-resistant preamble design is crucial for enabling reliable random access in 6G STICSs.
• The root set selection algorithm supports scalability for massive IoT device access.
• The analytical framework provides a basis for future performance evaluations in STICSs.