1.3k citations · 2.9k across the 37 of their papers we have counts for
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Deep-Reinforcement-Learning-Based Scheduling with Contiguous Resource Allocation for Next-Generation Cellular Systems
Shu Sun, Xiaofeng Li
Scheduling plays a pivotal role in multi-user wireless communications, since the quality of service of various users largely depends upon the allocated radio resources. In this pap…
Practical Scheduling Algorithms with Contiguous Resource Allocation for Next-Generation Wireless Systems
Shu Sun, Sungho Moon
This paper proposes three novel resource and user scheduling algorithms with contiguous frequency-domain resource allocation (FDRA) for wireless communications systems. The first p…
Channel Type Recognition in Wireless Communications: A Deep Learning Approach
Shu Sun, Xiaofeng Li, Sungho Moon
In this paper, we propose two novel and practical deep-learning-based algorithms to solve the wireless channel type (WCT) recognition problem. Specifically, the WCT recognition pro…
Channel Estimation for Reconfigurable Intelligent Surface-Assisted Wireless Communications Considering Doppler Effect
Shu Sun, Hangsong Yan
In wireless systems aided by reconfigurable intelligent surfaces (RISs), channel state information plays a pivotal role in achieving the performance gain of RISs. Mobility renders…
Practical Link Adaptation Algorithm with Power Density Offsets for 5G Uplink Channels
Shu Sun, Sungho Moon, Jong-Kae Fwu
This letter proposes a pragmatic link adaptation algorithm considering power density offsets (PDOs) for next-generation uplink wireless channels. The proposed algorithm consists of…