Distributed Algorithm for Base Station Assignment in 4G/5G Machine-Type Communication Scenarios with Backhaul Limited...

Area of Science:

• Telecommunications Engineering
• Network Optimization
• Distributed Systems

Background:

• The evolution towards 4G and beyond necessitates distributed control for network edge operations.
• Base stations (BS) must independently manage resources for diverse devices (human-type communication - HTC, internet of things - IoT).
• The base station assignment problem is crucial for Quality of Service (QoS) in heterogeneous networks.

Purpose of the Study:

• To address the base station assignment problem for optimizing system throughput.
• To develop a distributed algorithm for efficient resource management at the network edge.
• To improve upon existing methods for mobile device to base station allocation.

Main Methods:

• Formulation of the base station assignment as an optimization problem maximizing system throughput under resource constraints.
• Reformulation of the problem using dual decomposition theory.
• Proposal of a distributed, price-based base station assignment algorithm with a novel pricing update scheme.

Main Results:

• The proposed distributed algorithm effectively assigns base stations to mobile devices.
• The price-based approach demonstrates superior system throughput compared to traditional methods.
• The algorithm ensures efficient resource utilization for both HTC and IoT devices.

Conclusions:

• The developed distributed price-based algorithm offers a viable solution for the base station assignment problem.
• This approach significantly enhances system throughput in distributed network architectures.
• The findings support the adoption of distributed decision-making for future communication standards.