'Fading channel' diaporamas de présentation

Fine Granularity Video Compression and Optimal FEC Assignment for FG Video Streaming over Burst Error Channel

Fine Granularity Video Compression and Optimal FEC Assignment for FG Video Streaming over Burst Error Channel . Yih-Ching Su Department of Computer Science and Engineering, National Sun Yat-Sen University. Contents. Introduction Gilbert Channel with Loss Rate Feedback

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Resource Allocation in Downlink Multiuser Multicarrier Wireless Systems

Resource Allocation in Downlink Multiuser Multicarrier Wireless Systems. Prof. Brian L. Evans Dept. of Electrical and Computer Eng. The University of Texas at Austin November 6, 2007. Featuring work by my former PhD student Ian Wong. Embedded Signal Processing Laboratory. Founded 1996.

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Robust Transceivers to Combat Impulsive Noise in Powerline Communications

Robust Transceivers to Combat Impulsive Noise in Powerline Communications. Jing Lin Committee Members. Prof. Brian L. Evans (Supervisor) Prof. Todd E. Humphreys Prof . Alexis Kwasinski Prof. Ahmed H. Tewfik Prof. Haris Vikalo. Outline.

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Simulations and Tools for Telecommunications 521365S: OPNET - Network Simulator

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509 views • 33 slides

Multiuser Resource Allocation in Multichannel Wireless Communication Systems

Multiuser Resource Allocation in Multichannel Wireless Communication Systems. Zukang Shen Ph.D. Defense Committee Members: Prof. Jeffrey G. Andrews (co-advisor) Prof. Melba M. Crawford Prof. Gustavo de Veciana Prof. Brian L. Evans (co-advisor) Prof. Robert W. Heath, Jr.

861 views • 32 slides

Presented by: Ahmed Abdelhalim

Fair Resource Allocation with Guaranteed Statistical QoS for Multimedia Traffic in Wideband CDMA Cellular Network Liang Xu, Member, IEEE, Xuemin (Sherman) Shen, Senior Member, IEEE, and Jon W. Mark, Fellow, IEEE. Presented by: Ahmed Abdelhalim. Motivation.

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Multilevel Coding and Iterative Multistage Decoding ELEC 599 Project Presentation

Multilevel Coding and Iterative Multistage Decoding ELEC 599 Project Presentation. Mohammad Jaber Borran Rice University April 21, 2000. q 1 K 1. N x 1. M -way Partitioning of data. E 1 (rate R 1 ). Mapping (to 2 M -point constellation). data bits from the

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EE 6332, Spring, 2014 Wireless Communication

EE 6332, Spring, 2014 Wireless Communication. Zhu Han Department of Electrical and Computer Engineering Class 11 Feb. 19 th , 2014. Outline. Capacity in AWGN (Chapter 4.1) Entropy Source: independent Gaussian distribution Channel capacity: R<=C=Wlog(1+SNR)

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??????? ????? (626-40) ????? ?????? ???????. ??????? ?????? ????????. ?????? ???? 92-91 ????? ???? ???. So far we have only looked at uncoded schemes. Information theory provides a fundamental characterization of coded performance.

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Complex Beaco n Simulations in AWGN

Complex Beaco n Simulations in AWGN. Authors:. IEEE P802.22 Wireless RANs Date: 2007-01-15.

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Joint Source-Channel Coding for MPEG-4 Streams Transmission Over 3G Networks

Joint Source-Channel Coding for MPEG-4 Streams Transmission Over 3G Networks. Fang Zhijun, Xu Shenghua, Wan Changxuan Wu Shiqian, Wang Zhengyou, Zeng Weiming Wireless Communications, Networking and Mobile Computing, 2005. Lee, Ick-Soo. Contents. Introduction System Architecture

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Labeling diversity

Labeling diversity. Authors:. Date: 2013- 11-12. Outline. Diversity BI-STCM-ID Labelling diversity Analytical & simulation results Discussion. Diversity. To protect signal against fading effects

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An Application Of The Divided Difference Filter to Multipath Channel Estimation in CDMA Networks

An Application Of The Divided Difference Filter to Multipath Channel Estimation in CDMA Networks. Zahid Ali, Mohammad Deriche, M. Andan Landolsi King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. OUTLINE. Introduction Overview of DDF Algorithm Channel and Signal Model

317 views • 21 slides

Performance Analysis Over Fading Channels

Performance Analysis Over Fading Channels. Rafael C Lavrado. Agenda . Fading Channels Alternative Representation PAM Analysis QAM Analysis Conclusion. AWGN Channels. h(t). x(t). y(t). n(t). y(t)= x(t) + n(t). Fading Channels. h(t). x(t). y(t). n(t). y(t)= ? x(t) + n(t).

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Khurram Masood Abdul-Aziz .M Al-Yami

Case Study (ZigBee): Phase IV Transmitter & Receiver Simulation. Khurram Masood Abdul-Aziz .M Al-Yami. Physical Layer (PHY). The standard specifies the following four PHYs: An 868/915 MHz direct sequence spread spectrum (DSSS) PHY employing binary phase-shift keying (BPSK) modulation

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Layered Source-Channel Schemes: A Distortion-Diversity Perspective: S. Jing, L. Zheng and M. Medard

Layered Source-Channel Schemes: A Distortion-Diversity Perspective: S. Jing, L. Zheng and M. Medard. ACHIEVEMENT DESCRIPTION . STATUS QUO. IMPACT. NEXT-PHASE GOALS. NEW INSIGHTS. Three-layer scheme dominates previous double-layer schemes

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Multi-carrier CDMA

Multi-carrier CDMA . Outline. Introduction System Model Types Applications References . Introduction . Introduction . OFDM benefits: Robustness against multipath propagation channels Low-complex technique Bandwidth-efficient technique CDMA benefis Enables multiple access

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Power limited Cooperative Diversity in Rayleigh Fading for Wireless Ad-hoc Networks

Power limited Cooperative Diversity in Rayleigh Fading for Wireless Ad-hoc Networks. July 20, 2006. Nam-Soo Kim , Ye Hoon Lee Cheongju Univ., Seoul National Univ. of Technology. Mobile radio communication lab. I. Introduction. Background - Ad-hoc, sensor network Power limited system

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Fading

Fading. Yan Fei. Contents. Concepts Cause of Fading Slow and Fast Fading Fading Models Solution. Concept. What is Fading? It is about the phenomenon of loss of signal in telecommunications. A fading channel is a communication channel that experiences fading. Cause of Fading.

333 views • 4 slides