Dynamic Resource Allocation in O-RAN

Job ID: 38038733

Budget: $250 – $750 USD

This project aims at developing a team learning-based solution to enable dynamic resource allocation in an open radio access network (O-RAN), ultimately benefiting mobile users. In this endeavor:

- The primary objective is the effective and dynamic allocation of resources, which is expected to improve network performance and resource efficiency.

- The goal is to achieve measurable results through simulations specifically. The system should enable resource allocation adaptively, learning and adjusting in real-time to the network conditions, user demand, and other relevant factors.

- Ideal candidates for this project would have extensive experience in network administration, O-RAN specifications, and dynamic resource allocation techniques. Proficiency in simulation-based performance evaluation methods is an essential requirement as well. Experience with machine learning techniques might be beneficial, given the team-based learning aspect of the project.

In sum, this is an excellent opportunity for freelancers who have a knack for working with telecom strategies and a strong background in O-RAN concepts to significantly contribute to the optimisation of network utilization.
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