593 citations · 1.3k across the 69 of their papers we have counts for
6 papers · 1 filter
Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks
Yasar Sinan Nasir, Dongning Guo
A wireless network operator typically divides the radio spectrum it possesses into a number of subbands. In a cellular network those subbands are then reused in many cells. To miti…
Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks
Yasar Sinan Nasir, Dongning Guo
Deep reinforcement learning offers a model-free alternative to supervised deep learning and classical optimization for solving the transmit power control problem in wireless networ…
Beam Acquisition and Training in Millimeter Wave Networks with Narrowband Pilots
Hao Zhou, Dongning Guo, Michael L. Honig
This paper studies initial beam acquisition in a millimeter wave network consisting of multiple access points (APs) and mobile devices. A training protocol for joint estimation of…
Asynchronous Neighbor Discovery Using Coupled Compressive Sensing
Vamsi K. Amalladinne, Krishna R. Narayanan, Jean-Francois Chamberland +1
The neighbor discovery paradigm finds wide application in Internet of Things networks, where the number of active devices is orders of magnitude smaller than the total device popul…
Joint Routing and Resource Allocation for Millimeter Wave Picocellular Backhaul
Maryam Eslami Rasekh, Dongning Guo, Upamanyu Madhow
Picocellular architectures are essential for providing the spatial reuse required to satisfy the ever-increasing demand for mobile data. A key deployment challenge is to provide ba…
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks
Yasar Sinan Nasir, Dongning Guo
This work demonstrates the potential of deep reinforcement learning techniques for transmit power control in wireless networks. Existing techniques typically find near-optimal powe…