ECE External Research Board Meeting Wireless Network and Communications Tan F. Wong Wireless Information and Networking Group

Slides:



Advertisements
Similar presentations
GSC: Standardization Advancing Global Communications Evolution of TD-SCDMA China Communications Standards Association (CCSA) Chicago, May 29th to 2nd June,
Advertisements

MIMO Systems for MANETs
Multi-carrier CDMA. Outline Introduction System Model Types Applications References.
CELLULAR COMMUNICATIONS. LTE Data Rate Requirements And Targets to LTE  reduced delays, in terms of both connection establishment and transmission.
VSMC MIMO: A Spectral Efficient Scheme for Cooperative Relay in Cognitive Radio Networks 1.
Network Coding Testbed Using Software-Defined Radio Abstract In current generation networks, network nodes operate by replicating and forwarding the packets.
U NIVERSITY OF M ASSACHUSETTS, A MHERST Department of Computer Science Leveraging Interleaved Signal Edges for Concurrent Backscatter by Pan Hu, Pengyu.
FHSS vs. DSSS Presented by Ali Alhajhouj. Presentation Outline Introduce the issues involved in the system behaviors for FHSS and DSSS systems used in.
Overview.  UMTS (Universal Mobile Telecommunication System) the third generation mobile communication systems.
APPLICATION OF SPACE-TIME CODING TECHNIQUES IN THIRD GENERATION SYSTEMS - A. G. BURR ADAPTIVE SPACE-TIME SIGNAL PROCESSING AND CODING – A. G. BURR.
#7 1 Victor S. Frost Dan F. Servey Distinguished Professor Electrical Engineering and Computer Science University of Kansas 2335 Irving Hill Dr. Lawrence,
1 SMART ANTENNA TECHNIQUES AND THEIR APPLICATION TO WIRELESS AD HOC NETWORKS JACK H. WINTERS /11/13 碩一 謝旻欣.
Dennis N. McGregor Program Manager Communications & Networking ONR Navy Perspectives on Wireless Communications and.
Sep 08, 2005CS477: Analog and Digital Communications1 Example Systems, Signals Analog and Digital Communications Autumn
February 26, 2004Slide 1 Little Wireless and Smart Antennas Little Wireless and Smart Antennas Jack H. Winters 2/26/04.
Introduction to Protocol(WLan Standard) In the name of God University of Tehran School of Electrical and Computer Engineering By: Noushin Behboudi.
High survival HF radio network Michele Morelli, Marco Moretti, Luca Sanguinetti CNIT- PISA.
MULTIPLE INPUT MULTIPLE OUTPUT SYSTEMS (MIMO)
1. 2  What is MIMO?  Basic Concepts of MIMO  Forms of MIMO  Concept of Cooperative MIMO  What is a Relay?  Why Relay channels?  Types of Relays.
For 3-G Systems Tara Larzelere EE 497A Semester Project.
Cooperative spectrum sensing in cognitive radio Aminmohammad Roozgard.
On the Coded Complex Field Network Coding Scheme for Multiuser Cooperative Communications with Regenerative Relays Caixi Key Lab of Information.
International Technology Alliance In Network & Information Sciences International Technology Alliance In Network & Information Sciences 1 Cooperative Wireless.
1 Secure Cooperative MIMO Communications Under Active Compromised Nodes Liang Hong, McKenzie McNeal III, Wei Chen College of Engineering, Technology, and.
Improvements in throughput in n The design goal of the n is “HT” for High Throughput. The throughput is high indeed: up to 600 Mbps in raw.
BEYOND OFDM A Systems Approach to Non-Line-of-Sight Fixed Wireless Rajeev Krishnamoorthy Broadband World Wireless Forum, San Francisco, CA February 19,
Joint PHY-MAC Designs and Smart Antennas for Wireless Ad-Hoc Networks CS Mobile and Wireless Networking (Fall 2006)
Low Complexity Virtual Antenna Arrays Using Cooperative Relay Selection Aggelos Bletsas, Ashish Khisti, and Moe Z. Win Laboratory for Information and Decision.
SMART ANTENNA.
Autumn2004 © University of Surrey SatComms A - part 4 - B G Evans 4.1 Satellite Communications A Part 4 Access Schemes in Satellite Networks -Professor.
Future Wireless Networks Ubiquitous Communication Among People and Devices Next-generation Cellular Wireless Internet Access Wireless Multimedia Sensor.
Multiuser Detection (MUD) Combined with array signal processing in current wireless communication environments Wed. 박사 3학기 구 정 회.
Ger man Aerospace Center Gothenburg, April, 2007 High Spectral Efficient and Flexible Next Generation Mobile Communications Simon Plass, Stephan.
COST289 14th MCM Towards Cognitive Communications 13 April Towards Cognitive Communications A COST Action Proposal Mehmet Safak.
Overview of Research Activities Aylin Yener
User Cooperation via Rateless Coding Mahyar Shirvanimoghaddam, Yonghui Li, and Branka Vucetic The University of Sydney, Australia IEEE GLOBECOM 2012 &
Ch 11. Multiple Antenna Techniques for WMNs Myungchul Kim
Collaborative Communications in Wireless Networks Without Perfect Synchronization Xiaohua(Edward) Li Assistant Professor Department of Electrical and Computer.
Cooperative Wireless Networks Hamid Jafarkhani Director Center for Pervasive Communications and Computing
نیمسال اوّل افشین همّت یار دانشکده مهندسی کامپیوتر مخابرات سیّار (626-40) ارتباطات همکارانه.
Energy-Efficient Signal Processing and Communication Algorithms for Scalable Distributed Fusion.
S MART A NTENNA B.GANGADHAR 08QF1A1209. ABSTRACT One of the most rapidly developing areas of communications is “Smart Antenna” systems. This paper deals.
Wireless Information Networking Group Cooperative Diversity Techniques for Wireless Networks Arun ‘Nayagam Wireless Information Networking Group (WING)
Chapter 10 Cooperation Link Level Retransmission in Wireless Networks M. Dianati, X. Shen, and K. Naik.
Performance of Adaptive Beam Nulling in Multihop Ad Hoc Networks Under Jamming Suman Bhunia, Vahid Behzadan, Paulo Alexandre Regis, Shamik Sengupta.
Space Time Codes. 2 Attenuation in Wireless Channels Path loss: Signals attenuate due to distance Shadowing loss : absorption of radio waves by scattering.
Cooperative MIMO Paradigms for Cognitive Radio Networks
1 SMART ANTENNAS FOR THIRD GENERATION TDMA (EDGE) Jack H. Winters AT&T Labs - Research Red Bank, NJ July 17, 2000.
Cooperative Diversity Using Distributed Turbo Codes Bin Zhao and Matthew C. Valenti Lane Dept. of Comp. Sci. & Elect. Eng. West Virginia.
1 M. H. Ahmed and Salama Ikki Memorial University Newfoundland, Canada Chapter 3 To Cooperate or Not to Cooperate? That Is the Question!
CSCI 465 D ata Communications and Networks Lecture 23 Martin van Bommel CSCI 465 Data Communications & Networks 1.
Cooperative Communication
Multiple Access Techniques for Wireless Communication
Why PHY Really Matters Hari Balakrishnan MIT CSAIL August 2007 Joint work with Kyle Jamieson and Ramki Gummadi.
Dr. Ahmed El-MahdySpread Spectrum Communications (1) Performance of LTE uplink over frequency selective fading channel in impulsive noise environment (2)
Data and Computer Communications Tenth Edition by William Stallings Data and Computer Communications, Tenth Edition by William Stallings, (c) Pearson Education.
Doc.: IEEE wng-r0 Contribution Labeling diversity Date: November 2013 Maciej Krasicki (Poznan University of Technology)Slide.
CT301 lecture7 10/29/2015 Lect 7 NET301.
Outline Introduction Type of Multiplexing FDMA TDMA CDMA Future Work
Space Time Codes.
Wireless LANs Wireless proliferating rapidly.
Diversity Lecture 7.
15-744: Computer Networking
Distributed MIMO Patrick Maechler April 2, 2008.
Modulation and OFDM.
Wireless Communication Co-operative Communications
Wireless Communication Co-operative Communications
CT301 lecture7 10/29/2015 Lect 7 NET301.
Information Sciences and Systems Lab
Chenhui Zheng/Communication Laboratory
Presentation transcript:

ECE External Research Board Meeting Wireless Network and Communications Tan F. Wong Wireless Information and Networking Group Ph: Fax:

Wireless Information Networking Group (WING) Current Research Interests Communication and signal processing techniques to support wireless ad hoc and sensor networks: –Channel and timing estimation in MIMO systems –Bit-interleaved space-frequency coded modulation for OFDM –Collaborative communications: coding, processing, and protocols –Interference detection & resource allocation for cognitive radios –Physics-based source localization using binary observations Spread spectrum and ultra-wideband research: –Interference avoidance & cancellation in spread spectrum –Joint power control and sequence optimization in CDMA –Power-efficient ARQ protocols for CDMA links –Acquisition and MAC protocols for UWB

Wireless Information Networking Group (WING) Collaborative Communications 1 Multiple antennas can be used to provide diversity against many impairments in radio networks: Fading, Hostile Jamming, Collisions (especially for ad hoc networks) However, multiple antennas are an unattractive choice in many systems because: Antenna spacing needs to be several times the wavelength of the RF carrier Array elements should be physically connected to a central combiner Many systems, such as small handsets carried by infantry, cannot support these requirements 1 Sponsored by the Office of Naval Research, National Science Foundation, and Harris Corporation. Joint work with Drs. Mike Fang and John Shea

Wireless Information Networking Group (WING) Collaboration: A Cross-Layer Approach Collaboration uses Network-Based Approaches to Achieve (Physical-Layer) Diversity Antenna arrays are inherently present in any wireless network! Different nodes in the network can act like elements of an antenna array Since the nodes are not physically connected we refer to this as a Distributed Array Information to be combined must be exchanged over wireless links! There is no inherent central combiner, so distributed processing may be used.

Wireless Information Networking Group (WING) Challenges Traditional combining techniques (MRC, EGC) require a large amount of information to be sent to the combining node  new physical-layer approaches to achieve diversity are required Collaborating nodes must coordinate information exchanges; information exchanges should depend on physical layer signals  new collaboration protocols are required Phase coherence cannot usually be achieved between nodes because of the difficulty in synchronization  new distributed signal processing techniques are required In ad hoc networks, relay transmissions not only reduce spectral efficiency but also interfere with other transmissions  practical collaborative protocols are required for use in ad hoc networks

Wireless Information Networking Group (WING) Our Research Cooperative communications is an active area of research in the Wireless Information Networking Group at the University of Florida Our current research has three major thrusts In Collaborative Reception/Distributed Decoding, we are developing efficient combining techniques and iterative, distributed decoding protocols In Collaborative Jamming Mitigation, we are developing distributed signal processing techniques to detect jammed symbols and reduce the effect of the jamming before or during the decoding process. In Network Diversity through Relaying in Ad Hoc Networks, we are developing efficient MAC protocols that use cross-layer information to enable efficient relaying in ad hoc networks

Wireless Information Networking Group (WING) IDEA: Nodes in the cluster form a virtual array All nodes receive independent copies of the message from the transmitter Collaborative Decoding (Iterating between a process of information exchange and decoding) yields receive diversity Collaborative Reception

Wireless Information Networking Group (WING) Each node individually decodes received signal and estimates reliabilities of data bits using soft-input soft-output (SISO) decoders The nodes use the reliability information in a process of smart information exchange The nodes perform decoding at the end of information exchange Collaborative Decoding (Iterating between a process of information exchange and decoding) yields receive diversity Collaborative Reception

Wireless Information Networking Group (WING) Idea: more information needs to be combined for unreliable parts of a codeword than for reliable parts of the codeword Technique: combine just the right amount of information such that the combined bit reliabilities exceed a pre-determined threshold T Water filling in the reliability domain! Reliability filling combines fewer symbols! Reliability Filling

Wireless Information Networking Group (WING) Collaborative Jamming Mitigation Hostile jamming can severely disrupt communications networks If multiple receive antennas with a coherent phase reference are available, jamming can be mitigated by beamforming When multiple nodes collaborate in the presence of a jamming signal, phase coherence between nodes is not possible Furthermore, in the presence of fading, each node receives the information and jamming signals at different amplitudes and phases Both techniques have been shown effective against jamming in nonfading channels

Wireless Information Networking Group (WING) In Collaborative Jamming Mitigation, we develop distributed detection and estimation techniques to improve performance in the presence of hostile jammer Nodes exchange received information to estimate and reject jammer Jammer must use more power or transmit more of the time. Collaborative Jamming Mitigation

Wireless Information Networking Group (WING) Employ relay forwarding to achieve diversity or increase capacity in ad hoc networks Example (see figure below) The message has final destination H but intermediate destination B Nodes B and D suffer deep fades Node C can act as a relay for the message; rather than relay it to B, node C sends it to F to move it on toward the destination H Network Diversity through Relaying

Wireless Information Networking Group (WING) Extend simple ALOHA protocol to support relay forwarding Significant gains in end-to-end throughput and delay Network Diversity through Relaying

Wireless Information Networking Grouphttp://wireless.ece.ufl.edu Reconfigurable Multi-node Wireless Communication Testbed Conduct physical and network layers experiments Six-node cluster Software processing baseband unit (A/D-D/A board + PC) –Maximum reconfigurability, off-line processing Hardware processing baseband unit (FPGA board) –Real-time implementation 250MHz Arbitrary waveform generator, 1GHz digital oscilloscope, spectrum analyzer ISM-Band RF Frontend Laptop Computer DAQ (A/D-D/A) FPGA Board A/D D/A ISM-Band RF Frontend Laptop Computer DAQ (A/D-D/A) FPGA Board A/D D/A

Wireless Information Networking Group (WING) MIMO Processing and Coding Employ physical antenna arrays to improve comm. performance Interference mitigation using receive antenna array –Blind adaptive space-time interference rejection and multipath diversity combining algorithm for DS-SS

Wireless Information Networking Group (WING) MIMO Processing and Coding Interference avoidance by selecting optimal spreading codes for users in presence of jammers and MUI –More robust against jammers –Higher user capacity with QoS control –Lower Tx power  better LPI/LPD –Spreading codes depend on channel  natural PHY security

Wireless Information Networking Group (WING) MIMO Processing and Coding Spatial multiplexing with multiple transmit antennas to increase data rate –Bit-Interleaved Space-Time Coded-Modulation with Iterative Decoding Channel and timing estimation in MIMO systems with jammers and interference