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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 …
Potential games for energy-efficient power control and subcarrier allocation in uplink multicell OFDMA systems
The problem of noncooperative resource allocation in multicell uplink orthogonal frequency
division multiple access (OFDMA) systems is considered in this paper. Noncooperative …
division multiple access (OFDMA) systems is considered in this paper. Noncooperative …
Learning equilibria with partial information in decentralized wireless networks
In this article, a survey of several important equilibrium concepts for decentralized networks
is presented. The term decentralized is used here to refer to scenarios where decisions (eg …
is presented. The term decentralized is used here to refer to scenarios where decisions (eg …
Game theoretic dynamic channel allocation for frequency-selective interference channels
We consider the problem of distributed channel allocation in large networks under the
frequency-selective interference channel. Performance is measured by the weighted sum of …
frequency-selective interference channel. Performance is measured by the weighted sum of …
Energy-Efficient Power Control for Multiple-Relay Cooperative Networks Using -Learning
In this paper, we investigate the power control problem in a cooperative network with
multiple wireless transmitters, multiple amplify-and-forward relays, and one destination. The …
multiple wireless transmitters, multiple amplify-and-forward relays, and one destination. The …
Game-theoretic hierarchical resource allocation for heterogeneous relay networks
Relay nodes (RNs), as important components of heterogeneous networks introduced in
Long-Term Evolution-Advanced systems, are employed to improve network capacity and …
Long-Term Evolution-Advanced systems, are employed to improve network capacity and …
Self-organization in decentralized networks: A trial and error learning approach
In this paper, the problem of channel selection and power control is jointly analyzed in the
context of multiple-channel clustered ad-hoc networks, ie, decentralized networks in which …
context of multiple-channel clustered ad-hoc networks, ie, decentralized networks in which …
Perfect output feedback in the two-user decentralized interference channel
In this paper, the η-Nash equilibrium (η-NE) region of the two-user Gaussian interference
channel (IC) with perfect output feedback is approximated to within 1 bit/s/Hz and η …
channel (IC) with perfect output feedback is approximated to within 1 bit/s/Hz and η …
Distributed power allocation with SINR constraints using trial and error learning
In this paper, we address the problem of global transmit power minimization in a self-
configuring network where radio devices are subject to operate at a minimum signal to …
configuring network where radio devices are subject to operate at a minimum signal to …
The Gaussian Multiple Access Wiretap Channel with Selfish Transmitters: A Coalitional Game Theory Perspective
This paper considers the Gaussian multiple access wiretap channel (GMAC-WT) with selfish
transmitters, ie, who are each solely interested in maximizing their individual secrecy rate …
transmitters, ie, who are each solely interested in maximizing their individual secrecy rate …