Reinforcement Learning for Distributed Power Control and Channel Access in Cognitive Wireless Mesh Networks

Xianfu Chen; Zhifeng Zhao; Honggang Zhang

doi:10.1002/9781118360316.ch7

Reinforcement Learning for Distributed Power Control and Channel Access in Cognitive Wireless Mesh Networks

Xianfu Chen^*, Zhifeng Zhao, Honggang Zhang

^*Corresponding author for this work

Not published at VTT

Zhejiang University

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review

2 Citations (Scopus)

Original language	English
Title of host publication	Cognitive Communications
Subtitle of host publication	Distributed Artificial Intelligence (DAI), Regulatory Policy and Economics, Implementation
Publisher	Wiley
Chapter	7
Pages	163-193
Number of pages	31
ISBN (Print)	978-1-11995-150-6
DOIs	https://doi.org/10.1002/9781118360316.ch7
Publication status	Published - 24 Jul 2012
MoE publication type	A3 Part of a book or another research book

Keywords

CogMesh framework, two major technical issues
CogMesh, and problem of opportunistic spectrum access
CogMesh, self-organized/self-configured network architecture
Conjecture-based multi-agent Q-learning algorithm
Distributed learning algorithms and dynamic conjectures, OSA in CogMesh
E-greedy method, single-/multi-agent learning algorithms for balancing
Resource allocation in CogMesh, stochastic learning process
RL for distributed power control, in CogMesh
Stochastic power allocation, performance balancing competing objectives

Access to Document

10.1002/9781118360316.ch7

Cite this

@inbook{f71fe9ce9bee4991ac2b791d20dccfc5,

title = "Reinforcement Learning for Distributed Power Control and Channel Access in Cognitive Wireless Mesh Networks",

keywords = "CogMesh framework, two major technical issues, CogMesh, and problem of opportunistic spectrum access, CogMesh, self-organized/self-configured network architecture, Conjecture-based multi-agent Q-learning algorithm, Distributed learning algorithms and dynamic conjectures, OSA in CogMesh, E-greedy method, single-/multi-agent learning algorithms for balancing, Resource allocation in CogMesh, stochastic learning process, RL for distributed power control, in CogMesh, Stochastic power allocation, performance balancing competing objectives",

author = "Xianfu Chen and Zhifeng Zhao and Honggang Zhang",

year = "2012",

month = jul,

day = "24",

doi = "10.1002/9781118360316.ch7",

language = "English",

isbn = "978-1-11995-150-6",

pages = "163--193",

booktitle = "Cognitive Communications",

publisher = "Wiley",

address = "United States",

}

Reinforcement Learning for Distributed Power Control and Channel Access in Cognitive Wireless Mesh Networks. / Chen, Xianfu; Zhao, Zhifeng; Zhang, Honggang.
Cognitive Communications: Distributed Artificial Intelligence (DAI), Regulatory Policy and Economics, Implementation. Wiley, 2012. p. 163-193.

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review

TY - CHAP

T1 - Reinforcement Learning for Distributed Power Control and Channel Access in Cognitive Wireless Mesh Networks

AU - Chen, Xianfu

AU - Zhao, Zhifeng

AU - Zhang, Honggang

PY - 2012/7/24

Y1 - 2012/7/24

KW - CogMesh framework, two major technical issues

KW - CogMesh, and problem of opportunistic spectrum access

KW - CogMesh, self-organized/self-configured network architecture

KW - Conjecture-based multi-agent Q-learning algorithm

KW - Distributed learning algorithms and dynamic conjectures, OSA in CogMesh

KW - E-greedy method, single-/multi-agent learning algorithms for balancing

KW - Resource allocation in CogMesh, stochastic learning process

KW - RL for distributed power control, in CogMesh

KW - Stochastic power allocation, performance balancing competing objectives

UR - http://www.scopus.com/inward/record.url?scp=84886202859&partnerID=8YFLogxK

U2 - 10.1002/9781118360316.ch7

DO - 10.1002/9781118360316.ch7

M3 - Chapter or book article

AN - SCOPUS:84886202859

SN - 978-1-11995-150-6

SP - 163

EP - 193

BT - Cognitive Communications

PB - Wiley

ER -

Reinforcement Learning for Distributed Power Control and Channel Access in Cognitive Wireless Mesh Networks

Keywords

Access to Document

Other files and links

Cite this