Estimation of Received Signal Strength Distribution for Smart Meters With Biased Measurement Data Set

  title={Estimation of Received Signal Strength Distribution for Smart Meters With Biased Measurement Data Set},
  author={Mathias R{\o}nholt Kielgast and Anders Charly Rasmussen and Mathias Hjorth Laursen and Jimmy Jessen Nielsen and Petar Popovski and Rasmus Krigslund},
  journal={IEEE Wireless Communications Letters},
This letter presents an experimental study and a novel modeling approach of the wireless channel of smart utility meters placed in basements or sculleries. The experimental data consist of signal strength measurements of consumption report packets. Since such packets are only registered if they can be decoded by the receiver, the part of the signal strength distribution that falls below the receiver sensitivity threshold is not observable. We combine a Rician fading model with a bias function… 

Figures and Tables from this paper

Received Signal Strength Distribution Approximation for IEEE 802.15.4 Zigbee Smart Grid Networks

This research finding fairly implies that the effect of urbanization in the major big cities does not severely deteriorate the received signal strength of IEEE 802.15.4 Zigbee smart grid network compared with the open area in the rural zone.

Experimental Performance Analysis of Wi-SUN Channel Modelling Applied to Smart Grid Applications

The grid operation and communication network are essential for smart grids (SG). Wi-SUN channel modelling is used to evaluate the performance of Wi-SUN smart grid networks, especially in the

Characterization of LoRa Point-to-Point Path Loss: Measurement Campaigns and Modeling Considering Censored Data

The packet error ratio is determined based on the estimated PL parameters to evaluate the performance of P2P links, and despite the unfavorable radio propagation in the urban scenario and the densely forested terrain, a maximum range of 1 km is achieved.

LoRaWAN Adaptive Data Rate With Flexible Link Margin

This work proposes a modification to ADR that allows the selection of the link margin at runtime, increasing the network performance without the need of any prior knowledge and with no increase in the NS computational complexity.

Improving LoRaWAN Performance Through Adaptive Data Rate Parameter Selection

This paper shows that the offline optimization of one ADR parameter allows achieving a target performance without adding complexity to the algorithm.



Biased estimation of Rician K factor

  • N. ShroffK. Giridhar
  • Business
    2007 6th International Conference on Information, Communications & Signal Processing
  • 2007
The time varying envelope of the received signal, for the case when a line of sight (LoS) component exists between the transmitter and the receiver, is described by a Rician distribution with Rician

Moment-method estimation of the Ricean K-factor

A simple and rapid approach wherein the K-factor is an exact function of moments estimated from time-series data is described, which validate the method with empirical distributions for fixed wireless paths.

Maximum likelihood estimation of the K factor in Ricean fading channels

Simulation results show that new maximum likelihood estimators that use samples of both the fading envelope and the fading phase have good performances when operating in a Ricean fading channel, and in some cases outperform envelope-sample-based estimators.

Communication Systems Engineering

This book discusses Elements of an Electrical Communication System, a manual for the design of Communication Channels and their Characteristics, and Random Processes: Basic Concepts, which describes random processes in the Frequency Domain.

A Survey on Smart Grid Communication Infrastructures: Motivations, Requirements and Challenges

From the experience of several industrial trials on smart grid with communication infrastructures, it is expected that the traditional carbon fuel based power plants can cooperate with emerging distributed renewable energy such as wind, solar, etc, to reduce the carbon fuel consumption and consequent green house gas such as carbon dioxide emission.

The Levenberg-Marquardt Algorithm

The Levenberg-Marquardt algorithm is first shown to be a blend of vanilla gradient descent and Gauss-Newton iteration, and another perspective on the algorithm is provided by considering it as a trust-region method.

The Mobile Radio Propagation Channel

Fundamentals of VHF and UHF propagation propagation over irregular terrain propagation in built-up areas area coverage and planning tools characterisation of multipath phenomena wideband channel

Methods for Non-Linear Least Squares Problems (2nd ed.)