'Multiuser detection' diaporamas de présentation

Short Course: Wireless Communications : Lecture 3

Short Course: Wireless Communications : Lecture 3. Professor Andrea Goldsmith. UCSD March 22-23 La Jolla, CA. Lecture 2 Summary. Capacity of Flat Fading Channels. Four cases Nothing known Fading statistics known Fade value known at receiver Fade value known at receiver and transmitter

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Multiuser Detection for CDMA

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EE360: Multiuser Wireless Systems and Networks Lecture 1 Outline

EE360: Multiuser Wireless Systems and Networks Lecture 1 Outline. Course Details Course Syllabus Course Overview Future Wireless Networks Multiuser Channels (Broadcast/MAC Channels) Spectral Reuse and Interference Cellular Systems Ad-Hoc Networks Cognitive Radio Paradigms

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Space Division Multiple Access (SDMA) for Wireless Local Area Network (LAN)

S-88.4221 Postgraduate Seminar on Signal Processing 1 (6 cp) DSP SYSTEM DESIGN FOR WIDEBAND WIRELESS COMMUNICATIONS. Space Division Multiple Access (SDMA) for Wireless Local Area Network (LAN). Fernando Gregorio Signal Processing Laboratory HUT. This presentation is based on:

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Basic knowledge of CDMA

Basic knowledge of CDMA. Contents. This presentation provides a general introduction to CDMA -Evolution of CDMA -CDMA Concepts -Principle of spread-spectrum multiple access -Spreading spectrum Sequences(PN) -Features of CDMA. Evolution of CDMA. CDMA: Past, Present, and Future .

727 views • 39 slides

Pipelining and number theory for multiuser detection

Pipelining and number theory for multiuser detection. Sridhar Rajagopal and Joseph R. Cavallaro Rice University. This work is supported by Nokia, TI, TATP and NSF. Motivation. Several multiuser detection schemes Hardware implementation infeasible Optimize algorithm + hardware

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An Optimal Soft-Output Multiuser Detection Algorithm and its Applications

An Optimal Soft-Output Multiuser Detection Algorithm and its Applications. Matthew C. Valenti Assistant Professor Comp. Sci. & Elect. Eng. West Virginia University Morgantown, WV U.S.A. mvalenti@wvu.edu. Outline of Talk. Turbo multiuser detection. Related work. System model.

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Application of Addition Algorithms

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Turbo Multiuser Detection

Turbo Multiuser Detection. Group Members: -Bhushan G. Jagyasi -Himanshu Soni. Single user detection. Modula- -tion. Modula- -tion. b 1 (.). Decision. AWGN. g1. b^ 1 (.). g1. b 2 (.). Decision. g2. b^ 2 (.). r(t). g2. Noisy Channel. Decision.

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Turbo Multiuser Detection

Turbo Multiuser Detection. Group Members: -Bhushan G. Jagyasi -Himanshu Soni. Single user detection. Modula- -tion. Modula- -tion. b 1 (.). Decision. AWGN. g1. b^ 1 (.). g1. b 2 (.). Decision. g2. b^ 2 (.). r(t). g2. Noisy Channel. Decision.

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Spread Spectrum Communications

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EE360: Lecture 8 Outline Multiuser Detection

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Processor Issues For Wireless Communications

Processor Issues For Wireless Communications. Sridhar Rajagopal ECE Rice University. BaseStation - Mobile. Different Processor Issues Algorithms may be similar for base-station/ mobile Size Power User -Interface. Issues Independent of BS-M.

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1.Multiuser Channel Estimation

Block I. Block II. Block III. Antenna. Matrix Products. Data. Multiuser Detection. Decoder. Block IV. Correlation Matrices (Per Bit). Inverse. Detected Bits. A 0 H A 1 O(K 2 N). Delay. M U X. d. Decision Feedback. Multistage Detection (Per Window). Multiple Users. R br

163 views • 1 slides