Coca, A. Graur, "Path Loss Exponent Influence on Distance Estimation between Wireless Sensor Nodes", Advances in Electrical and Computer Engineering, 1, 2010, pp. 110- 115.G. Buta, E. Coca and A. Graur, "Path Loss Exponent Influence on Distance Estimation between Wireless Sensor Nodes", ...
Using a spatial version of the Erlang's loss formula and the Kaufman-Roberts algorithm we show how the blocking probability of a constant bit-rate traffic depends on the variance of the log-normal shadowing and on the path-loss exponent in regular, hexagonal networks. Both functions exhibit a...
Normally, algorithms based on RSS measurements need to know, or be able to estimate, channel parameters (such as path-loss exponent and transmission power). However, these parameters may be unknown and difficult to estimate for each anchor node. View chapterExplore book Routing and Data Diffusion...
wherePlis the average propagation path loss,dis the distance between the transmitter and receiver,nis the path loss exponent which varies between 2 for free space to 6 for obstructed in building propagation[7], andλis the free space wavelength defined as the ratio of the speed of light in m...
However tunnels can act as a form of waveguide and they can result in a path loss exponent values of less than 2.Free space path loss calculationIt is possible to calculate the path loss between a transmitter and a receiver. The path loss proportional to the square of the distance bet...
The pathloss exponent and the variance of the large-scale fading are two parameters that are of great importance when modeling or characterizing wireless propagation channels. The pathloss is typically modeled using a single-slope log-di... T Abbas,C Gustafson,F Tufvesson 被引量: 8发表: 2014...
Path loss exponent n values were calculated using regression fitting method based on data collected on site. Measurement comparisons between several established prediction models with the actual measurements are taken at an academic building to identify which model gives the best estimation result. The ...
无线通信 Lecture 5 Path Loss Lecture5:Large-ScalePathLoss Chapter4–MobileRadioPropagation:Large-ScalePathLoss Lasttwolectures:PropertiesofcellularradiosystemsFrequencyreusebyusingcellsClusteringandsystemcapacitySystemcomponents-Mobileswitchingcenters,basestations,mobiles,PSTNHandoffstrategiesHandoffmargin,guardchannels...
Actually, starting with the formula (2.7) we prove that the standard Seiberg bounds are not necessary: the threshold n i=1 αi = Q produces a trivial singularity in the Γ function but the expectation E[Z(α, z)−s] in (2.7) is well defined even for some positive exponent −s,...
(34)Intersected:∂q∂x(u)=1N∑i=1Nap(x−xi)(ri+rmin)p/2−1where ri denotes the distance between the parametric point x(u) and the ith, p is a predetermined positive exponent, rmin is a small positive constant that ensures the function does not diverge when r nears zero, ...