3 citations · 6 across the 8 of their papers we have counts for
12 papers
Power Control in Spectrum Sharing Systems with Almost-Zero Inter-System Signaling Overhead
Mohammad Ghadir Khoshkholgh, Halim Yanikomeroglu
Power allocation in spectrum sharing systems is challenging due to excessive interference that the secondary system could impose on the primary system. Therefore, an interference t…
RSS-Based UAV-BS 3-D Mobility Management via Policy Gradient Deep Reinforcement Learning
Mohammad Ghadir Khoshkholgh, Halim Yanikomeroglu
We address the mobility management of an autonomous UAV-mounted base station (UAV-BS) that provides communication services to a cluster of users on the ground while the geographica…
Learning Power Control from a Fixed Batch of Data
Mohammad G. Khoshkholgh, Halim Yanikomeroglu
We address how to exploit power control data, gathered from a monitored environment, for performing power control in an unexplored environment. We adopt offline deep reinforcement…
Faded-Experience Trust Region Policy Optimization for Model-Free Power Allocation in Interference Channel
Mohammad G. Khoshkholgh, Halim Yanikomeroglu
Policy gradient reinforcement learning techniques enable an agent to directly learn an optimal action policy through the interactions with the environment. Nevertheless, despite it…
A Vision and Framework for the High Altitude Platform Station (HAPS) Networks of the Future
Gunes Kurt, Mohammad G. Khoshkholgh, Safwan Alfattani +5
A High Altitude Platform Station (HAPS) is a network node that operates in the stratosphere at an of altitude around 20 km and is instrumental for providing communication services.…
Provisioning Energy-Efficiency and QoS for Multi-Carrier CoMP with Limited Feedback
Mohammad G. Khoshkholgh, Victor C. M. Leung, Kang G. Shin +1
We consider resource allocation (RA) in multi-carrier coordinated multi-point (CoMP) systems with limited feedback, in which a cluster of base stations (BSs), each equipped with mu…