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Coverage and Capacity Optimization in STAR-RISs Assisted Networks: A Machine Learning Approach
Coverage and capacity are the important metrics for performance evaluation in wireless networks, while the coverage and capacity have several conflicting relationships, e. g. high transmit power contributes to large coverage but high inter-cell interference reduces the capacity performance.
Offline Contextual Bandits for Wireless Network Optimization
The explosion in mobile data traffic together with the ever-increasing expectations for higher quality of service call for the development of AI algorithms for wireless network optimization.
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