ECE 5221 Personal Communication Systems Prepared by: Dr. Ivica Kostanic Lecture 3: Planning for Coverage in Cellular Systems (Chapter 2.3 ) Spring 2011 Florida Institute of technologies Outline Mobile propagation environment Free space path loss model (review) Two ray propagation model (review) Log distance path loss model (review) Examples Important note: Slides present summary of the results. Detailed derivations are given in notes. Florida Institute of technologies Page 2 Free space path loss model Assumes free space between TX and RX Definition of quantities: Realistic in microwave links to cellular towers PT = power delivered to antenna terminals Not realistic in terrestrial propagation GT = gain of transmit antenna ERP = effective radiated power FSPL = free space path loss GR = gain of the receive antenna PR = received power delivered to receiver If the quantities are expressed in log-units: PR PT GT FSPL GR Free space propagation scenario Florida Institute of technologies Page 3 Free Space Path Loss (FSPL) Free space path loss - log 140 Equation for FSPL (linear) 135 FSPL 4d / 2 130 125 = wavelength of the RF wave 120 Equation for FSPL (logarithmic) – Frii’s equations FSPL [dB] d = distance between TX and RX FSPL 36.5 20 log d miles 20 log f MHz FSPL 32.44 20 log d km 20 log f MHz 115 110 f = 1GHz f = 2GHz f = 3GHz 105 100 95 90 0 10 Notes: 1 2 10 distance [km] 10 FSPL curves 1-3GHz range FSPL grow 20dB/dec as a function of distance FSPL grows 20dB/dec as a function of frequency FSPL curves are straight lines in log-log coordinate system Detailed derivation of Frii’s equations given in notes Florida Institute of technologies Page 4 FSPL example: Consider microwave communication link. Assume: power delivered to the antenna is 2W, transmit antenna gain is 20dB, the receive antenna gain is 5dB and minimum required signal level is -80dB. Estimate the maximum TX-RX separation for three frequencies: 1900MHz, 2.5GHz and 6GHz. Answers: 1. For 1900MHz, distance 61.8 miles 2. For 2.5GHz, distance 48.95 miles 3. For 6.6GHz, distance 1.58 miles Notes: - Answers do not have any margin - RSL is received power expressed in dBm - Note decrease of distance with increase of frequency Florida Institute of technologies Page 5 Propagation in terrestrial environment Three components of path loss Flat Terrain Median Signal Slow Fading (Lognormal Shadowing) Fast Fading o Log normal shadowing o Small scale fading Separation between TX and RX o Exponential decay of signal level o Decay is expressed in X dB/dec o X is between 20 and 60 Log normal shadowing -20 -30 o Additional path loss due to mobile being in a shadow of terrestrial objects o Modeled as a random variable normally distributed in log domain Small scale fading o Large variations of signal level over distances comparable to wavelength 0 -10 Received Signal Level (RSL) o Separation between TX and RX 10 40 Wavelengths Range from Transmitter Antenna Notes: - First two components of the path loss predicted through macroscopic propagation models - Third component is virtually unpredictable Florida Institute of technologies Page 6 Losses due to TX-RX separation Simplified example: two-ray path loss model Model derived for: o Flat Earth o Perfectly reflecting Earth o Assuming two ray addition at the RX point Model predicts: o 40 dB/dec loss as a function of distance o 20 dB/dec dependence of losses on TX and RX heights In practical situations: o Separation loss 20-60dB/dec (typical is still around 40dB/dec) o Dependence on antenna height still holds but is somewhat smaller (10-15 dB/dec) PLdB 40 logR 20 loght 20 loghr Notes: Detailed derivations are presented in notes Florida Institute of technologies Page 7 Example Brevard County, FL has an area of 1,557 sq mi. Assume that the county is to be covered with a cellular system. The parameters of the cell sites are: Height of the tower: 50m, height of the mobile: 1.5m, maximum path loss 120dB. Use two-ray path loss model to determine: 1. Size of a cell 2. The number of circular cells required (neglect the overlap between the calls) 3. Cell count assuming that there is about 20% overlap between cells Answers: 1. Radius of a cell is about 5.4 miles 2. The number of required cells is about 17 3. Taking the overlap into account, the number of required cells is 22 Area of circle R 2 Overlap 1.2092 Area of hexagon 3 3 2 R 2 Florida Institute of technologies Page 8 Log normal fading Typical RSL measurements Log normal shadowing introduces random variations of path loss Random variations are modeled as a normal variable in log domain Due to these variations the shape of cell is not regular Practical problem: o Cover the area with irregularly shaped cells o Prevent excessive overlap between cells Practical approach: Assume log distance path loss model -60 RSL distance plot -65 The form of the log distance model -70 y = -41.937x - 75.895 d RSL RSL 0 m log X d0 RSL [dBm] -75 -80 -85 -90 Notes: -95 The model is straight line approximation -100 -105 -0.2 Variability captured by random variable -0.1 0 0.1 0.2 0.3 log(distance) [miles] 0.4 0.5 0.6 Florida Institute of technologies Page 9 Log distance path loss model - details Equation of the model d PL PL0 m log X d0 d0 – reference distance PL – path loss in dB PL0 – path in dB loss to reference distance d – distance m – slope X – log normal fading in dB Environment Slope (dB/dec) Free space 20 Terrestrial 20-50 Forested areas Up to 60 In building 16-20 Microcell 16-25 Slope recorded in different us cities (after W.C.Y. Lee) Florida Institute of technologies Page 10 Properties of fading Probability density function Standard deviation fading as a function of environment x2 1 X ~ 0, exp 2 2 2 Environment Standard deviation (dB) Rural 5-7 Suburban 6-8 Urban 8-10 Dense urban 10-12 Note: for nominal calculations standard deviation of 8dB is commonly assumed Florida Institute of technologies Page 11 Log distance path los model: example Consider a cell site with ERP = 50dBm. Assume that the path loss follows log-distance path loss model. The following data are known: reference distance is 1 mile, reference path loss is 109dB, slope 38.4dB/dec. Calculate: 1. Median RSL at the distance of 3 miles 2. Probability that the signal is above level given in 1. The RSL predicted by log-distance path loss model is -80dBm. Assume log normal shadowing with standard deviation of 7dB. Calculate probabilities: 1. RSL > -80dBm 2. RSL < -80dBm 3. RSL > -85dBm 4. RSL < -75dBm Homework 1 - assigned Florida Institute of technologies Page 12 Appendix – Normal distribution table Q z z Florida Institute of technologies x2 1 exp dx 2 2 Page 13