Deep Reinforcement Learning-Based Sum-Rate Maximization for Uplink Multi-user SIMO-RSMA Systems

Thanh Phung Truong; Tri‐Hai Nguyen; Anh-Tien Tran; Si Van-Tien Tran; Van Dat Tuong; Luong Vuong Nguyen; Woongsoo Na; Laihyuk Park; Sungrae Cho

doi:10.1007/978-3-031-46573-4_4

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Deep Reinforcement Learning-Based Sum-Rate Maximization for Uplink Multi-user SIMO-RSMA Systems

Thanh Phung Truong Tri‐Hai Nguyen Anh-Tien Tran Si Van-Tien Tran Van Dat Tuong Luong Vuong Nguyen Woongsoo Na Laihyuk Park Sungrae Cho

Year: 2023 Lecture notes on data engineering and communications technologies Pages: 36-45 Publisher: Springer International Publishing

DOI: 10.1007/978-3-031-46573-4_4

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Keywords:

Telecommunications link Reinforcement learning Maximization Benchmark (surveying) Computer science Beamforming Base station Decoding methods Antenna (radio) Mathematical optimization Computer network Algorithm Artificial intelligence Telecommunications Mathematics

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Advanced MIMO Systems Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Advanced Wireless Communication Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

Cooperative Communication and Network Coding

Physical Sciences → Computer Science → Computer Networks and Communications

Deep Reinforcement Learning-Based Sum-Rate Maximization for Uplink Multi-user SIMO-RSMA Systems

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