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EE-451 Mobile Communication Systems (3+0)
Lecture 2
Radio Wave Propagation: Fading and Multipath
Lec Moiz Ahmed Pirkani
EE-451 MILITARY COLLEGE OF SIGNALS- NUST
Lecture Outline• Understand the theory of multipath fading channel • Know how to calculate the parameters for fading
channel • Learn different types of multipath fading channel • Some common fading channel models • References
• Goldsmith Ch 3 • Rappaport Ch 5 • Haykin Ch 2.6-2.7 • Molish Ch 5 & 6
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Background• Large-scale propagation (Lecture 2)
• Predicts mean received signal strength at large Tx-Rx distance• Hundreds or thousands of meters
• Path loss, shadowing etc• Importance
• Proper site planning
• Small-scale propagation • Characterize the rapid fluctuations over short distance or time • Fading • Importance
• Proper receiver design to handle the rapid fluctuations
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Multipath Propagation• Signal arrives at Rx through different paths
• Reflection, Diffraction, Scattering
• Paths could arrive with different gains, phase, & delays • Constructive or destructive interference
• Small distance variation can have large amplitude variation
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Multipath Channel Impulse Response (I) • The multipath channel can be modelled as a filter
• A summation of all N multipath
• Each multipath contain its gain ai, phase θi and delay τi• Each path varies with time and distance
• If the mobile is moving, distance is also related to time d = vt • Two time-related variables
• t is the time variation due to motion • τ is the time variation due to multipath delay
• Excess delay - relative delay compared to the first arriving path
• τi(t) = i-th path excess delay at time t
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Multipath Channel Impulse Response (II)
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Multipath Channel Impulse Response (III)
• Discrete-time baseband impulse response • Channel impulse response is continuous time as with
filters• Digital communications is discrete time
• Divide multipath delay into discrete segments called excess delay bins
• i-th excess delay = • ∆τ= delay bin width • L = maximum resolvable delay path
• a(t,k∆τ) = amplitude of k-th bin at time t• θ(t,k∆τ) = phase shift of k-th bin at time t
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Multipath Channel Impulse Response (IV)
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Tap Delay Line Model • If the excess delay bin equals to the symbol period, the
channel can be modelled as a tap delay-line filter • Each tap delay is exactly 1 symbol period
• st = baseband signal, nt = noise, rt = received baseband signal
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Problems with Multipath Channel• Several paths arrive within one delay bin (∆τ)
• These paths cannot be resolved (N≠L) • Different gains and phase will be combined
• Constructive and destructive interference can occur • Fading
• The received signal power changes rapidly from bin to bin • When a symbol is in deep fade (the channel for that symbol period
has small value), it cannot be detected correctly • Diversity technique required
• If some paths arrive after one symbol period • The transmitted symbol will interfere with the following
symbol(s) • Inter-symbol interference (ISI) occurs • Equalization techniques required
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
WSSUS Channel • Assume channel is wide-sense stationary (WSS)
• The autocorrelation function is dependent on the time difference
• i.e. Autocorrelation function is the same at any time
• Assume all paths are uncorrelated • Uncorrelated Scattering (US)
• Rh=0 unless τ1=τ2
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Channel Autocorrelation Function • Let
• where is the autocorrelation function of the discretised channel bin
• Note that τ1=τ2, i.e. uncorrelated among different bins
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Power Delay Profile• Characterise the power distribution against the excess
delays • Integral of |h(t, τ)|2 over time t
• For discrete-time model, due to WSS-US • Note: ∆t=0, i.e., t1 = t2
• Pk = power at k-th delay bin
• Common delay profiles • Uniform: Pk being constant over k • Exponential: Pk = cexp(-k∆τ/c)
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Time Dispersion Parameters (I)• Determined from the power delay profile
• Treat the power delay profile as a probability mass function • Calculate the mean, second moment, and standard deviation for it
• Mean excess delay Second moment
• RMS delay spread
• Maximum excess delay (X dB) • τ0 = first arriving signal delay • τX = max excess delay within X dB of the strongest path
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Time Dispersion Parameters (II)
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Time Dispersion Parameters (III)
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Tutorial Question 1 • Consider the provided power delay profile
• Calculate the mean excess delay, rms delay spread, and the max excess delay (10dB) for the power delay profile provided
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Coherence Bandwidth• Coherence bandwidth Bc
• Frequencies separated by less than this bandwidth will have their fades highly correlated
• Flat frequency spectrum within Bc
• Signals will be affected differently with the frequency separation goes beyond Bc
• Frequency correlation higher than 0.9 and 0.5
• RMS delay spread ↑, Coherence bandwidth ↓• Frequency correlation ↑, Coherence bandwidth ↓
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)
Doppler Spread and Coherence Time
• Parameters to describe the time varying nature of a channel • Doppler spread BD
• Measure of spectral broadening due to time variation
• fd-max = max Doppler shift = v/λ
• Coherence Time Tc
• Time duration that the fading parameters remain fairly constant • Coherence time for correlation above 0.5:
• Mobile speed , Doppler spread ↑, Coherence time ↓
EE-451 MILITARY COLLEGE OF SIGNALS- NUSTMobile Communication Systems (3+0)