Essays about: "Uplink Scheduling"
Showing result 1 - 5 of 20 essays containing the words Uplink Scheduling.
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1. Predicting Buffer Status Report (BSR) for 6G Scheduling using Machine Learning Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In 6G communication, many state-of-the-art machine learning algorithms are going to be implemented to enhance the performances, including the latency property. In this thesis, we apply Buffer Status Report(BSR) prediction to the uplink scheduling process. The BSR does not include information for data arriving after the transmission of this BSR. READ MORE
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2. Mitigation of Inter-cell Interference in an Industrial Communication Network by Coordinated Scheduling
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : With Industry 4.0, the manufacturing industries are transitioning from wired to wireless communication between machines which put high demands on the network system. READ MORE
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3. Scheduling using Deep Reinforcement Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As radio networks have continued to evolve in recent decades, so have theircomplexity and the difficulty in efficiently utilizing the available resources. Ina cellular network, the scheduler controls the allocation of time, frequencyand spatial resources to users in both uplink and downlink directions. READ MORE
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4. User Equipment Characterization using Machine Learning
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : With the ever increasing demand for higher data rates and reliability, efficient management of cellular networks remains a challenge. Among other technologies, fifth generation systems are expected to tackle this challenge using large electronically controllable antenna arrays operating in the time division duplex mode. READ MORE
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5. Scheduler Algorithms for MU-MIMO
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In multi-user multiple input multiple output (MU-MIMO), the complexity of the base-station scheduler has increased further compared to single-user multiple input multiple output (SU-MIMO). The scheduler must understand if several users can be spatially multiplexed in the same time-frequency resource. READ MORE