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

by Xiao-Li Hu 1,2, Pin-Han Ho 3 and Limei Peng 4,*
1
Nanfang College, Sun Yat-Sen Univeristy, Guangzhou 510900, China
2
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
3
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L3G1, Canada
4
School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Korea
*
Author to whom correspondence should be addressed.
J. Sens. Actuator Netw. 2018, 7(3), 38; https://doi.org/10.3390/jsan7030038
Received: 5 July 2018 / Revised: 17 August 2018 / Accepted: 17 August 2018 / Published: 4 September 2018
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. View Full-Text
Keywords: maximum likelihood; wireless network; cooperative receiver; cooperative sensing maximum likelihood; wireless network; cooperative receiver; cooperative sensing
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Hu, X.-L.; Ho, P.-H.; Peng, L. Performance Analysis of Maximum Likelihood Estimation for Transmit Power Based on Signal Strength Model. J. Sens. Actuator Netw. 2018, 7, 38.

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