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

Abstract

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.

Keywords

• maximum likelihood
• wireless network
• cooperative receiver
• cooperative sensing