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The Wireless Channel. Lecture 3. Area 1. Area 2. Short- term fading. Log-normal shadowing. Transmitter. Large and Small Scale Propagation Models. Wireless Mulipath Channel. Channel varies at two spatial scales: large scale fading small scale fading. Large-scale fading.
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The Wireless Channel Lecture 3
Area 1 Area 2 Short-term fading Log-normal shadowing Transmitter Large and Small Scale Propagation Models
Wireless Mulipath Channel Channel varies at two spatial scales: large scale fading small scale fading
Large-scale fading • In free space, received power attenuates like 1/r2. • With reflections and obstructions, can attenuate even more rapidly with distance. Detailed modelling complicated. • Time constants associated with variations are very long as the mobile moves, many seconds or minutes. • More important for cell site planning, less for communication system design.
Small-scale multipath fading • Wireless communication typically happens at very high carrier frequency. (eg. fc = 900 MHz or 1.9 GHz for cellular) • Multipath fading due to constructive and destructive interference of the transmitted waves. • Channel varies when mobile moves a distance of the order of the carrier wavelength. This is 0.3 m for Ghz cellular. • For vehicular speeds, this translates to channel variation of the order of 100 Hz.
Plan • We wish to understand how physical parameters such as carrier frequency, mobile speed, bandwidth, delay spread impact how a wireless channel behaves from the communication system point of view. • We start with deterministic physical model and progress towards statistical models, which are more useful for design and performance evaluation.
Physical Models • Wireless channels can be modeled as linear time-varying systems: where ai(t) and i(t) are the gain and delay of path i. • The time-varying impulse response is: • Consider first the special case when the channel is time-invariant:
Time variations property t2 t(t2) t1 t(t1) Time spreading property t0 t(t0) Impulse Rresponse Ccharacterization • Impulse response: Time-spreading : multipath • and time-variations: time-varying environment
Passband to Baseband Conversion • Communication takes place at [fc-W/2, fc+ W/2]. • Processing takes place at baseband [-W/2,W/2].
Baseband Equivalent Channel • The frequency response of the system • Each path is associated with a delay and a complex gain.
Multipath propagation Signal can take many different paths between sender and receiver due to reflection, scattering, diffraction • Time dispersion: signal is dispersed over time • interference with “neighbor” symbols Inter Symbol Interference (ISI) • The signal reaches a receiver directly and phase shifted • distorted signal depending on the phases of the different parts
The Effects of Multipath Propagation • Due to the different paths taken by the multipath components, they may arrive at different times • If the symbol period TS is smaller than the delay spread, i.e. TS< Tm, Inter-Symbol Interference (ISI) will occur • The receiver cannot determine which symbol each multipath component belongs to:
Delay Spread The Delay Spread Tm is defined as the difference between times-of arrival of the first and last multipath components Typical values are as follows:
Coherence Bandwidth • The Coherence Bandwidth Bcis a statistical measure of the range of frequencies over which the attenuation of the channel is approximately constant • Two frequency components f1 and f2 will experience similar attenuation if (f1 – f2) << Bc • Coherence Bandwidth is approximately related to the Delay Spread by: • Bc(Hz) = 1/Tm • e.g. in a particular factory environment, • Tm= 120ns, Bc= 1/(120 x 10-9) = 8.33 MHz
Coherence Bandwidth (2) • If the transmitted signal has a bandwidth (Bu) much smaller than the Coherence Bandwidth(Bc), i.e. Bu<< Bc, all frequency components will be attenuated similarly. • This is called Flat Fading • Else, it will undergo Frequency-selective fading, with different components attenuated differently. This causes distortion of the signal
Channel Classification Based on Time-Spreading • Flat Fading • BS < BCTm < Ts • Rayleigh, Ricean distrib. • Spectral chara. of transmitted • signal preserved • Frequency Selective • BS > BC Tm > Ts • Intersymbol Interference • Spectral chara. of transmitted • signal not preserved • Multipath components resolved Channel Channel Signal Signal BC BS freq. freq. BS BC
Channel Classification Based on Time-Variations • Fast Fading • High Doppler Spread • 1/Bd@ TC < Ts • Slow Fading • Low Doppler Spread • 1/Bd@ TC> Ts Signal Signal Doppler Doppler BD BS freq. freq. BS BD
Statistical Models • Design and performance analysis based on statistical ensemble of channels rather than specific physical channel. • Recall that:
Additive Gaussian Noise • The discrete-time baseband-equivalent model
Rayleigh Model • Rayleigh flat fading model: many small scattered paths Complex circular symmetric Gaussian . • Rayleigh PDF:
Rician Model • Used when LOS or other dominant non fading path exist. • Characterized by Rician factor K that compare signal power of the non-fading path to variance of multipath.
Nakagami model • More practical model Rayleigh fading Rician fading No fading, Constant power
Inter-symbol Interference (ISI) • Time domain: dispersion (delay spread Tm) • Frequency domain: non-flat response in the band of interest • One-tap filter: flat frequency response • Multi-tap filter: frequency selective response • When symbol time T >> Tm, no ISI (narrowband or low rate) • For higher rate, T comparable to Tm , we need to deal with ISI • Equalization, OFDM, CDMA with RAKE