683 citations · 829 across the 9 of their papers we have counts for
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cs.NI2020
Mode Selection and Resource Allocation in Sliced Fog Radio Access Networks: A Reinforcement Learning Approach
Hongyu Xiang, Mugen Peng, Yaohua Sun +1
The mode selection and resource allocation in fog radio access networks (F-RANs) have been advocated as key techniques to improve spectral and energy efficiency. In this paper, we…
cs.NI2020
Deep Reinforcement Learning Based Mode Selection and Resource Allocation for Cellular V2X Communications
Xinran Zhang, Mugen Peng, Shi Yan +1
Cellular vehicle-to-everything (V2X) communication is crucial to support future diverse vehicular applications. However, for safety-critical applications, unstable vehicle-to-vehic…
eess.SP2020
Tradeoff between Ergodic Rate and Delivery Latency in Fog Radio Access Networks
Bonan Yin, Mugen Peng, Shi Yan +1
Wireless content caching has recently been considered as an efficient way in fog radio access networks (FRANs) to alleviate the heavy burden on capacity-limited fronthaul links and…