1. ECE External Research Board Meeting Wireless Network and Communications Tan F. Wong Wireless Information and Networking Group twong@ece.ufl.edu http://wireless.ece.ufl.edu/~twong Ph: 352-392-2665 Fax: 352-392-0044

2. http://wireless.ece.ufl.edu/ 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

3. http://wireless.ece.ufl.edu/ 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

4. http://wireless.ece.ufl.edu/ 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.

5. http://wireless.ece.ufl.edu/ 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

6. http://wireless.ece.ufl.edu/ 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

7. http://wireless.ece.ufl.edu/ 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

8. http://wireless.ece.ufl.edu/ 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

9. http://wireless.ece.ufl.edu/ 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

10. http://wireless.ece.ufl.edu/ 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

11. http://wireless.ece.ufl.edu/ 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

12. http://wireless.ece.ufl.edu/ 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

13. http://wireless.ece.ufl.edu/ 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

14. 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

15. http://wireless.ece.ufl.edu/ 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

16. http://wireless.ece.ufl.edu/ 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

17. http://wireless.ece.ufl.edu/ 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