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Learning optimal resource allocations in wireless systems
This paper considers the design of optimal resource allocation policies in wireless
communication systems, which are generically modeled as a functional optimization …
communication systems, which are generically modeled as a functional optimization …
Optimal resource allocation in wireless communication and networking
Optimal design of wireless systems in the presence of fading involves the instantaneous
allocation of resources such as power and frequency with the ultimate goal of maximizing …
allocation of resources such as power and frequency with the ultimate goal of maximizing …
Model-free learning of optimal ergodic policies in wireless systems
Learning optimal resource allocation policies in wireless systems can be effectively
achieved by formulating finite dimensional constrained programs which depend on system …
achieved by formulating finite dimensional constrained programs which depend on system …
Large scale wireless power allocation with graph neural networks
We consider the optimal power allocation with a set of transmitter/receiver pairs in a large
scale wireless network. Obtaining an optimal policy requires the solving of a non-convex …
scale wireless network. Obtaining an optimal policy requires the solving of a non-convex …
Optimal wireless communications with imperfect channel state information
This paper studies optimal transmission over wireless channels with imperfect channel state
information available at the transmitter side in the context of point-to-point channels …
information available at the transmitter side in the context of point-to-point channels …
Primal dual PPO learning resource allocation in indoor IRS-aided networks
Terahertz communications is regarded as a promising technology due to its higher
bandwidth and narrower beamwidths, which can improve capacity and coverage for indoor …
bandwidth and narrower beamwidths, which can improve capacity and coverage for indoor …
Control and Placement of Finite-Resolution Intelligent Surfaces in IoT Systems with Imperfect CSI
In this paper, we study the advantages of using reconfigurable intelligent surfaces (RISs) for
interference suppression in single-input single-output (SISO) distributed Internet of Things …
interference suppression in single-input single-output (SISO) distributed Internet of Things …
Online deep learning in wireless communication systems
We consider the problem of optimal power allocation in wireless fading channels. Due to
interference, this problem is non-convex and challenging to solve exactly. The resemblance …
interference, this problem is non-convex and challenging to solve exactly. The resemblance …
[PDF][PDF] Strong duality in risk-constrained nonconvex functional programming
We show that risk-constrained functional optimization problems with general integrable
nonconvex instantaneous reward/constraint functions exhibit strong duality, regardless of …
nonconvex instantaneous reward/constraint functions exhibit strong duality, regardless of …
A dual stochastic dfp algorithm for optimal resource allocation in wireless systems
A stochastic implementation of the Davidon-Fletcher-Powell (DFP) quasi-Newton method to
minimize dual functions of optimal resource allocation problems in wireless systems is …
minimize dual functions of optimal resource allocation problems in wireless systems is …