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cs.NI2024
Model-based Deep Learning for QoS-Aware Rate-Splitting Multiple Access Wireless Systems
Hanwen Zhang, Mingzhe Chen, Alireza Vahid +2
Next generation communications demand for better spectrum management, lower latency, and guaranteed quality-of-service (QoS). Recently, Artificial intelligence (AI) has been widely…
cs.IT2024
Model-based Deep Learning for Wireless Resource Allocation in RSMA Communications Systems
Hanwen Zhang, Mingzhe Chen, Alireza Vahid +2
Rate-splitting multiple access (RSMA) has been proven as an effective communication scheme for 5G and beyond. However, current approaches to RSMA resource management require compli…
eess.SP2024★ 1 cited
Joint User Scheduling and Computing Resource Allocation Optimization in Asynchronous Mobile Edge Computing Networks
Yihan Cang, Ming Chen, Yijin Pan +4
In this paper, the problem of joint user scheduling and computing resource allocation in asynchronous mobile edge computing (MEC) networks is studied. In such networks, edge device…