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A 5G wireless network requires an efficient approach to effectively manage and segment the resource. A Centralized Radio Access Network (CRAN) is used to handle complex distributed networks. Specific to network infrastructure, multicast communication is considered in the performance of data storage and information-based network connectivity. This paper proposes a modified Resource Allocation (RA) scheme for effectively handling the RA problem using a learning-based Resource Segmentation (RS) technique. It uses a modified Random Forest Algorithm (RFA) with Signal Interference and Noise Ratio (S...

This research aims to design an optimal and strategyproof mechanism for online resource allocation problems. In such problems, consumers randomly arrive with their resource requests in an arbitrary manner. As a result, there is uncertainty in the future resource demands. In addition, the allocation and payment decisions depend on the providers’ past experiences. To address these challenges, we propose a novel reinforcement learning algorithm for optimising the resource allocation policy. The proposed algorithm adopts a novel monotonic reward shaping function that uses a dominant-resource mul...

Join us for O-RAN ALLIANCE Ecosystem Briefing, February 28, 2023 at MWC Barcelona This press release features multimedia. 

Join us for O-RAN ALLIANCE Ecosystem Briefing, February 28, 2023 at MWC Barcelona 2023 O-RAN ALLIANCE participation at the "Open RAN The Debate" session at MWC23 65 demonstrations of

Oxfam Malawi has challenged government to invest more resources in the nutrition sector in the country in order to address the problem of malnutrition...