Modeling of RF in W-CDMA with SystemView

Slides:



Advertisements
Similar presentations
Development of Communication and Control (C 2 ) Subsystems AIF Research Forum, Fredericton, New Brunswick, May, 19, 2006 Julian Meng and Shane Barnes.
Advertisements

1 PIANO+ OTONES WP3 SIGNAL PROCESSING ALGORITHMS.
Florida Institute of technologies ECE 5221 Personal Communication Systems Prepared by: Dr. Ivica Kostanic Lecture 23 – Basics of 3G - UMTS Spring 2011.
Network Coding Testbed Using Software-Defined Radio Abstract In current generation networks, network nodes operate by replicating and forwarding the packets.
Electronics’2004, Sozopol, September 23 Design of Mixed Signal Circuits and Systems for Wireless Applications V. LANTSOV, Vladimir State University
Development of Parallel Simulator for Wireless WCDMA Network Hong Zhang Communication lab of HUT.
Real-Time DSP Multiprocessor Implementation for Future Wireless Base-Station Receivers Bryan Jones, Sridhar Rajagopal, and Dr. Joseph Cavallaro.
Overview.  UMTS (Universal Mobile Telecommunication System) the third generation mobile communication systems.
Which telecommunication service is better for you?
Cellular System Capacity Maximum number of users a cellular system can support in any cell. Can be defined for any system. Typically assumes symmetric.
 Defining the RF jamming system and showing the importance and need of using it in many places.  Giving a complete RF jamming system design based on.
- 1 - A Powerful Dual-mode IP core for a/b Wireless LANs.
Implementation Issues for Channel Estimation and Detection Algorithms for W-CDMA Sridhar Rajagopal and Joseph Cavallaro ECE Dept.
DSPs in Wireless Communication Systems Vishwas Sundaramurthy Electrical and Computer Engineering Department, Rice University, Houston,TX.
EELE 5490, Fall, 2009 Wireless Communications Ali S. Afana Department of Electrical Engineering Class 5 Dec. 4 th, 2009.
A bit-streaming, pipelined multiuser detector for wireless communications Sridhar Rajagopal and Joseph R. Cavallaro Rice University
Efficient VLSI architectures for baseband signal processing in wireless base-station receivers Sridhar Rajagopal, Srikrishna Bhashyam, Joseph R. Cavallaro,
ASIP Architecture for Future Wireless Systems: Flexibility and Customization Joseph Cavallaro and Predrag Radosavljevic Rice University Center for Multimedia.
DSP Techniques for Software Radio Introduction Dr. Jamil Ahmad.
RICE UNIVERSITY DSPs for 4G wireless systems Sridhar Rajagopal, Scott Rixner, Joseph R. Cavallaro and Behnaam Aazhang This work has been supported by Nokia,
TI DSPS FEST 1999 Implementation of Channel Estimation and Multiuser Detection Algorithms for W-CDMA on Digital Signal Processors Sridhar Rajagopal Gang.
Efficient VLSI architectures for baseband signal processing in wireless base-station receivers Sridhar Rajagopal Srikrishna Bhashyam, Joseph R. Cavallaro,
MASNET GroupXiuzhen ChengFeb 8, 2006 Terms and Concepts Behind Wireless Communications.
RICE UNIVERSITY “Joint” architecture & algorithm designs for baseband signal processing Sridhar Rajagopal and Joseph R. Cavallaro Rice Center for Multimedia.
RICE UNIVERSITY DSPs for future wireless systems Sridhar Rajagopal.
DSP Architectural Considerations for Optimal Baseband Processing Sridhar Rajagopal Scott Rixner Joseph R. Cavallaro Behnaam Aazhang Rice University, Houston,
Implementing algorithms for advanced communication systems -- My bag of tricks Sridhar Rajagopal Electrical and Computer Engineering This work is supported.
RICE UNIVERSITY On the architecture design of a 3G W-CDMA/W-LAN receiver Sridhar Rajagopal and Joseph R. Cavallaro Rice University Center for Multimedia.
OFDM Based WLAN System Song Ziqi Zhang Zhuo.
Fundamentals of Digital Communication
Implementing Multiuser Channel Estimation and Detection for W-CDMA Sridhar Rajagopal, Srikrishna Bhashyam, Joseph R. Cavallaro and Behnaam Aazhang Rice.
Wireless Communications Outline Introduction History System Overview Signals and Propagation Noise and Fading Modulation Multiple Access Design of Cellular.
SR: 599 report Channel Estimation for W-CDMA on DSPs Sridhar Rajagopal ECE Dept., Rice University Elec 599.
Adaptive radio-frequency resource management for MIMO MC-CDMA on antenna selection Jingxu Han and Mqhele E Dlodlo Department of Electrical Engineering.
Efficient VLSI architectures for baseband signal processing in wireless base-station receivers Sridhar Rajagopal, Srikrishna Bhashyam, Joseph R. Cavallaro,
Optimal Sequence Allocation and Multi-rate CDMA Systems Krishna Kiran Mukkavilli, Sridhar Rajagopal, Tarik Muharemovic, Vikram Kanodia.
CS 414 Indian Institute of Technology, Bombay CS 414 RF Propagation Multiplexing and Modulation.
 First generation systems utilized frequency axis to separate users into different channels  Second generation systems added time axis to increase number.
5G Wireless Technology.
Sridhar Rajagopal Bryan A. Jones and Joseph R. Cavallaro
Baseband Platforms - Architecture
Multiple Access Techniques for Wireless Communication
244-6: Higher Generation Wireless Techniques and Networks
Digital transmission over a fading channel
4G-WIRELESS NETWORKS PREPARED BY: PARTH LATHIGARA(07BEC037)
Techniques to control noise and fading
Which telecommunication service is better for you?
A programmable communications processor for future wireless systems
Wireless Networks.
One Problem of Reliability In Collaborative Communication System
Seminar on…. 5G Wireless Technology By: Niki Upadhyay
Sridhar Rajagopal April 26, 2000
Optimal Sequence Allocation and Multi-rate CDMA Systems
How to ATTACK Problems Facing 3G Wireless Communication Systems
Course Agenda DSP Design Flow.
Sridhar Rajagopal and Joseph R. Cavallaro Rice University
Sridhar Rajagopal and Joseph R. Cavallaro Rice University
DSPs for Future Wireless Base-Stations
Tri-Band RF Jamming System
On-line arithmetic for detection in digital communication receivers
Radio Propagation Review
Denial-of-Service Jammer Detector Training Course Worldsensing
Modeling of RF in W-CDMA with SystemView
Sridhar Rajagopal, Srikrishna Bhashyam,
DSP Architectures for Future Wireless Base-Stations
On-line arithmetic for detection in digital communication receivers
Suman Das, Sridhar Rajagopal, Chaitali Sengupta and Joseph R.Cavallaro
Chapter 9 – Mobile systems and networks
DSPs for Future Wireless Base-Stations
Physical Layer (2).
Presentation transcript:

Modeling of RF in W-CDMA with SystemView RENE: Wireless Cellular Radio Srikrishna Bhashyam, Sridhar Rajagopal, Kanu Chadha, Dinesh Rajan, Bryan Jones, Yuanbin Guo, Ahmad Khoshnevis, Frank Livingston, Charles Camp, Behnaam Aazhang, Joseph Cavallaro RENE Receiver Next Generation Cellular System Multimedia capabilities Multirate services Guaranteed Quality of service Higher Data Rates: 2 Mbps, 384 Kbps, 128 Kbps. antenna Cellular phone Basestation (Cellular tower) - or a - and are… Come from a Channel estimator Web pages Videophone calls and  Web page Sent via RF (radio waves) over the air RF receiver / demodulator Detector Decoder Videophone call Algorithm Implementation Theory Practice Then, take these algorithms (theory)… …to implementation in a prototype basestation (practice) Channel Effects Multiple Users share spectrum Multiple Access Interference Multipath Fading Additive White Gaussian Noise Multiprocessor Basestation Implementation 2.4 GHz ISM hardware DSP + FPGA Performs channel estimation Performs detection Performs decoding Performs RF reception antenna The Wireless Channel Direct Reflections noise + interference User 1 User 2 Base-station The Sundance board contains 2 DSPs and 2 FPGAs. Multiprocessor Simulations The channel estimator and detector have been implemented on this platform. Measurements show a 2 DSP solution to be faster than a single DSP solution. Projects demonstrate using both DSPs and FPGAs provides even greater performance. Larger values are worse (slower) 5 10 15 20 25 30 35 -6 -5 -4 -3 -2 Execution time (in seconds) Users Single DSP implementation 2 DSP implementation Target data rate - 128 Kbps/user 2 DSPs + 2 FPGAs Modeling of RF in W-CDMA with SystemView -148 -140 -130 -120 -110 1.00e-2 1.00e-1 BER Path loss in dB BER vs Path loss in dB Baseband Simulation Scheme with RF -102 Output BW=InFs/N N: 2~64 --wideband 32~65536--narrow Decimation factor >40MSPS Future Work Welkin >40MSPS Complete system evaluation on multiple DSPs and RF hardware Carrier offset and synchronization - multiple users Mobile handset - low power, fixed point DSP implementation Integrating physical layer with higher layers Task partitioning and Parallel architectures for acceleration Welkin Complete System with DSP+RF Distortion True RF modeling (IP3,P1dB, NF…) Real world Component Specification Multi-domain Integration ( SystemView + Matlab) Software Radio design with DDC/DDS