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Game theory for networks: A tutorial on game-theoretic tools for emerging signal processing applications
The aim of this tutorial is to provide an overview, although necessarily incomplete, of game
theory (GT) for signal processing (SP) in networks. One of the main features of this …
theory (GT) for signal processing (SP) in networks. One of the main features of this …
[KNIHA][B] Foundations of MIMO communication
RW Heath Jr, A Lozano - 2018 - books.google.com
Understand the fundamentals of wireless and MIMO communication with this accessible and
comprehensive text. Viewing the subject through an information theory lens, but also …
comprehensive text. Viewing the subject through an information theory lens, but also …
Learning to optimize: Training deep neural networks for wireless resource management
For decades, optimization has played a central role in addressing wireless resource
management problems such as power control and beamformer design. However, these …
management problems such as power control and beamformer design. However, these …
Energy-efficient power control: A look at 5G wireless technologies
This paper develops power control algorithms for energy efficiency (EE) maximization
(measured in bit/Joule) in wireless networks. Unlike previous related works, minimum-rate …
(measured in bit/Joule) in wireless networks. Unlike previous related works, minimum-rate …
Cloud-edge orchestration-based bi-level autonomous process control for mass individualization of rapid printed circuit boards prototy** services
Rapid printed circuit boards (PCB) prototy** refers to the pilot production of PCB before
mass production for verifying the circuit design. The rapid PCB prototy** service providers …
mass production for verifying the circuit design. The rapid PCB prototy** service providers …
Decomposition by partial linearization: Parallel optimization of multi-agent systems
We propose a novel decomposition framework for the distributed optimization of general
nonconvex sum-utility functions arising naturally in the system design of wireless multi-user …
nonconvex sum-utility functions arising naturally in the system design of wireless multi-user …
Convex optimization, game theory, and variational inequality theory
In this article, we have provided a unified view of some basic theoretical foundations and
main techniques in convex optimization, game theory, and VI theory. We put special …
main techniques in convex optimization, game theory, and VI theory. We put special …
Joint spectrum and power allocation for D2D communications underlaying cellular networks
This paper addresses the joint spectrum sharing and power allocation problem for device-to-
device (D2D) communications underlaying a cellular network (CN). In the context of …
device (D2D) communications underlaying a cellular network (CN). In the context of …
Real and complex monotone communication games
Noncooperative game-theoretic tools have been increasingly used to study many important
resource allocation problems in communications, networking, smart grids, and portfolio …
resource allocation problems in communications, networking, smart grids, and portfolio …
Optimal resource allocation for MIMO ad hoc cognitive radio networks
SJ Kim, GB Giannakis - IEEE Transactions on Information …, 2011 - ieeexplore.ieee.org
Maximization of the weighted sum-rate of secondary users (SUs) possibly equipped with
multiantenna transmitters and receivers is considered in the context of cognitive radio (CR) …
multiantenna transmitters and receivers is considered in the context of cognitive radio (CR) …