Resource-Efficient Parallelized Random Access for Reliable Connection Establishment in Cellular IoT Networks

Area of Science:

• Telecommunications Engineering
• Computer Networks
• Internet of Things (IoT)

Background:

• Cellular networks are evolving to support the growing demands of Industry 4.0 and massive Internet of Things (IoT) deployments.
• Connection establishment via random access procedures is critical for IoT device communication but is prone to contention issues as device numbers increase.

Purpose of the Study:

• To introduce a novel resource-efficient parallelized random access (RePRA) procedure for cellular-based massive IoT networks.
• To enhance the reliability and radio efficiency of connection establishment for a large number of IoT devices.

Main Methods:

• The proposed RePRA procedure involves IoT devices performing multiple random access procedures in parallel.
• The base station (BS) employs two new redundancy elimination mechanisms to manage excessive radio resource usage.

Main Results:

• Extensive simulations demonstrate improved connection establishment success probability.
• The RePRA procedure shows significant gains in radio resource efficiency for massive IoT scenarios.

Conclusions:

• The proposed RePRA technique is feasible for reliably and radio-efficiently supporting a large volume of IoT devices in cellular networks.
• This approach addresses the contention challenges inherent in traditional random access methods for massive IoT.