Performance Analysis of Maximum Likelihood Estimation for Transmit Power Based on Signal Strength Model

Performance Analysis of Maximum Likelihood Estimation for Transmit Power Based on Signal Strength Model

We study theoretical performance of Maximum Likelihood (ML) estimation for transmit power of a primary node in a wireless network with cooperative receiver nodes. The condition that the consistence of an ML estimation via cooperative sensing can be guaranteed is firstly defined. Theoretical analysis...

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Main Authors: Xiao-Li Hu, Pin-Han Ho, Limei Peng
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Journal of Sensor and Actuator Networks
Subjects:
maximum likelihood
wireless network
cooperative receiver
cooperative sensing
Online Access:http://www.mdpi.com/2224-2708/7/3/38
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spelling doaj-1d462c466e454dd5ad03c3150b6bb8902020-11-24T21:21:52ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082018-09-01733810.3390/jsan7030038jsan7030038Performance Analysis of Maximum Likelihood Estimation for Transmit Power Based on Signal Strength ModelXiao-Li Hu0Pin-Han Ho1Limei Peng2Nanfang College, Sun Yat-Sen Univeristy, Guangzhou 510900, ChinaDepartment of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L3G1, CanadaSchool of Computer Science and Engineering, Kyungpook National University, Daegu 41566, KoreaWe study theoretical performance of Maximum Likelihood (ML) estimation for transmit power of a primary node in a wireless network with cooperative receiver nodes. The condition that the consistence of an ML estimation via cooperative sensing can be guaranteed is firstly defined. Theoretical analysis is conducted on the feasibility of the consistence condition regarding an ML function generated by independent yet not identically distributed random variables. Numerical experiments justify our theoretical discoveries.http://www.mdpi.com/2224-2708/7/3/38maximum likelihoodwireless networkcooperative receivercooperative sensing
collection DOAJ
language English
format Article
sources DOAJ
author Xiao-Li Hu
Pin-Han Ho
Limei Peng
spellingShingle Xiao-Li Hu
Pin-Han Ho
Limei Peng
Performance Analysis of Maximum Likelihood Estimation for Transmit Power Based on Signal Strength Model
Journal of Sensor and Actuator Networks
maximum likelihood
wireless network
cooperative receiver
cooperative sensing
author_facet Xiao-Li Hu
Pin-Han Ho
Limei Peng
author_sort Xiao-Li Hu
title Performance Analysis of Maximum Likelihood Estimation for Transmit Power Based on Signal Strength Model
title_short Performance Analysis of Maximum Likelihood Estimation for Transmit Power Based on Signal Strength Model
title_full Performance Analysis of Maximum Likelihood Estimation for Transmit Power Based on Signal Strength Model
title_fullStr Performance Analysis of Maximum Likelihood Estimation for Transmit Power Based on Signal Strength Model
title_full_unstemmed Performance Analysis of Maximum Likelihood Estimation for Transmit Power Based on Signal Strength Model
title_sort performance analysis of maximum likelihood estimation for transmit power based on signal strength model
publisher MDPI AG
series Journal of Sensor and Actuator Networks
issn 2224-2708
publishDate 2018-09-01
description We study theoretical performance of Maximum Likelihood (ML) estimation for transmit power of a primary node in a wireless network with cooperative receiver nodes. The condition that the consistence of an ML estimation via cooperative sensing can be guaranteed is firstly defined. Theoretical analysis is conducted on the feasibility of the consistence condition regarding an ML function generated by independent yet not identically distributed random variables. Numerical experiments justify our theoretical discoveries.
topic maximum likelihood
wireless network
cooperative receiver
cooperative sensing
url http://www.mdpi.com/2224-2708/7/3/38
work_keys_str_mv AT xiaolihu performanceanalysisofmaximumlikelihoodestimationfortransmitpowerbasedonsignalstrengthmodel
AT pinhanho performanceanalysisofmaximumlikelihoodestimationfortransmitpowerbasedonsignalstrengthmodel
AT limeipeng performanceanalysisofmaximumlikelihoodestimationfortransmitpowerbasedonsignalstrengthmodel
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