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Fundamentals of Wireless Communication

Fundamentals of Wireless Communication. David Tse Wireless Foundations U.C. Berkeley USCD June 9-10, 2006. 1. Introduction. Course Objective. Past decade has seen a surge of research activities in the field of wireless communication.

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Fundamentals of Wireless Communication

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  1. Fundamentals of Wireless Communication David Tse Wireless Foundations U.C. Berkeley USCD June 9-10, 2006

  2. 1. Introduction

  3. Course Objective • Past decade has seen a surge of research activities in the field of wireless communication. • Emerging from this research thrust are new points of view on how to communicate effectively over wireless channels. • The goal of this course is to study in a unified way the fundamentals as well as the new research developments. • The concepts are illustrated using examples from several modern wireless systems (GSM, IS-95, CDMA 2000 1x EV-DO, Flash OFDM.)

  4. System Implementation Capacity limits and communication techniques Channel modelling

  5. Course Outline Part I: Basics 2. The Wireless Channel • Diversity 4. Multiple Access and Interference Management 5. Capacity of Wireless Channels

  6. Course Outline (2) Part II: Modern Wireless Communication 6. Opportunistic Communication and Multiuser Diversity 7. MIMO : Spatial Multiplexing and Channel Modeling

  7. Assumed background: • Basic signals and systems, linear algebra and proabability. • Basic digital communications.

  8. 2. The Wireless Channel

  9. Wireless Mulipath Channel Channel varies at two spatial scales: large scale fading small scale fading

  10. 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.

  11. 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 about 0.3 m for 900 Mhz cellular. • For vehicular speeds, this translates to channel variation of the order of 100 Hz. • Primary driver behind wireless communication system design.

  12. Game plan • We wish to understand how physical parameters such as • carrier frequency • mobile speed • bandwidth • delay spread • angular 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.

  13. 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:

  14. Passband to Baseband Conversion • Communication takes place at • Processing takes place at baseband

  15. Complex Baseband Equivalent Channel • The frequency response of the system is shifted from the passband to the baseband. • Each path is associated with a delay and a complex gain.

  16. Modulation and Sampling

  17. Multipath Resolution Sampled baseband-equivalent channel model: where hl is the l th complex channel tap. and the sum is over all paths that fall in the delay bin System resolves the multipaths up to delays of 1/W .

  18. Sampling Interpretation • hl is the l th sample of the low-pass version of the channel response hb(¢). • Contribution of the i th path is sinc(W(-i)) sampled at =l/W. • Contribution is significant only when i is close to l/W.

  19. Multipath Resolution Sampled baseband-equivalent channel model: where hl is the l th complex channel tap. and the sum is over all paths that fall in the delay bin System resolves the multipaths up to delays of 1/W .

  20. Flat and Frequency-Selective Fading • Fading occurs when there is destructive interference of the multipaths that contribute to a tap. Delay spread Coherence bandwidth single tap, flat fading multiple taps, frequency selective

  21. Effective channel depends on both physical environment and bandwidth!

  22. Time Variations: Two-path Example v= 60 km/hr, fc = 900 MHz: direct path has Doppler shift of -50 Hz reflected path has shift of +50 Hz Doppler spread = 100 Hz

  23. Time Variations: General Doppler shift of the i th path Doppler spread Coherence time

  24. Doppler Spread Doppler spread is proportional to: • the carrier frequency fc; • the angular spread of arriving paths. where i is the angle the direction of motion makes with the i th path.

  25. Types of Channels

  26. Typical Channels are Underspread • Coherence time Tc depends on carrier frequency and vehicular speed, of the order of milliseconds or more. • Delay spread Td depends on distance to scatterers, of the order of nanoseconds (indoor) to microseconds (outdoor). • Channel can be considered as time-invariant over a long time scale.

  27. Statistical Models • Design and performance analysis based on statistical ensemble of channels rather than specific physical channel. • Rayleigh flat fading model: many small scattered paths Complex circular symmetric Gaussian . Squared magnitude is exponentially distributed. • Rician model: 1 line-of-sight plus scattered paths

  28. Correlation over Time • Specified by autocorrelation function and power spectral density of fading process. • Example: Clarke’s (or Jake’s) model.

  29. Additive Gaussian Noise • Complete baseband-equivalent channel model: • Special case: flat fading: • Will use this throughout the course.

  30. Summary • We have understood how time and frequency selectivity of wireless channels depend on key physical parameters. • We have come up with statistical channel models that are useful for analysis and design.

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