References:
[1] D. Raychaudhuri, "Adaptive Wireless
Networks Using Cognitive Radios as a Building Block", ACM MobiCom 2004
Keynote Speech, Philadelphia, Sept. 2004
[2] R. Mukhopadhyay, Y. Park, P. Sen, N.
Srirattana, J. Lee, C. Lee, S. Nuttinck, A. Joseph, J.D. Cressler, J.
Laskar. "Reconfigurable RFICs in Silicon-based technologies for a
compact intelligent RF front-end", IEEE Transactions on Microwave Theory
and Techniques, Vol. 53, Issue 1, Jan. 2005, Page(s) 81-93.
[3] R.L. Li, G. DeJean, M.M. Tentzeris,
J. Laskar. "Novel multi-band broadband planar wire antennas for wireless
communication handheld terminals", IEEE Antennas and Propagation
Society's International Symposium, June 2003, Vol. 3, Page(s)
44-47.
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Project Objectives:
This is a 4-year (2004-2008) collaborative project involving Rutgers
WINLAB, Lucent Bell Laboratories and Georgia Tech, and is supported
by a $1.4M grant under the NeTS ProWIN (Programmable Wireless
Networks) initiative at NSF CISE. The objective is to develop a
novel cognitive radio hardware prototype which can be used for
research on adaptive wireless networks of the future.
Technology Rationale:
“Moore’s law” advances in programmable silicon integrated circuits
have created an opportunity to develop intelligent or “cognitive”
radios which can adapt to a wide variety of radio interference
conditions and multiple protocol standards. Such a cognitive radio
would be capable of dynamic physical
layer adaptation via scanning of available spectrum, selection from
a wide range of operating frequencies (possibly non-contiguous),
rapid adjustment of modulation waveforms and adaptive power
control. In addition, a suitably designed cognitive radio with a
software-defined physical layer would be capable of collaborating
with neighboring radios to ameliorate interference using
higher-layer protocols. These higher layer coordination protocols
could range from etiquette mechanisms all the way to fully
collaborative multi-hop forwarding between radio nodes. Such
cognitive radios with both physical and network layer capabilities
are expected to improve the prospects for both spectrum
compatibility and interoperability between proliferating wireless
data standards.
Technical Approach:
The
network-centric cognitive radio architecture under consideration in this
project is aimed at providing a high-performance platform for
experimentation with various adaptive wireless network protocols ranging
from simple etiquettes to more complex ad-hoc collaboration. Particular
emphasis has been placed on high performance in a networked environment
where each node may be required to carry out high throughput packet
forwarding functions between multiple physical layers. Key design
objectives for the cognitive radio platform include:
- multi-band operation, fast frequency scanning and agility;
- software-defined modem including waveforms such as DSSS/QPSK and
OFDM operating at speeds up to 50Mbps;
- packet
processor capable of ad-hoc packet routing with aggregate throughput
~100 Mbps;
- spectrum
policy processor that implements etiquette protocols and algorithms
for dynamic spectrum sharing.

The
cognitive radio prototype’s architecture is based on four major
elements: (1) MEMS-based tri-band agile RF front-end, (2) FPGA-based
software defined radio (SDR); (3) FPGA-based packet processing engine;
and (4) embedded CPU core for control and management. These components
will be integrated into a single prototype board which leverages an SDR
implementation from Lucent Bell Labs as the starting point.
Results To Date and Future Work Plan:
A prototype cognitive radio board is currently under development by the WINLAB, Bell Labs, GA Tech team. The design of this board leverages the
Lucent software defined radio platform shown in Fig 1, which is being
upgraded to include a large FPGA (XCV4SX55)
with configurable DSP slices for the modem and a second FPGA (4VFX100) for the network processor, as shown in Fig 2. An
MPC8560 processor serves as the CPU for execution of control and
spectrum etiquette policies.
 
At WINLAB, research work is currently in progress to investigate trade-offs between hardware and software solutions. An optimal hardware/software partition is essential for a cognitive radio system which meets both performance and cost constraints. The solution will include an example on how differing MAC protocols, such as TDMA and CSMA based protocols, could be implemented on the same system.
The digital processing board interfaces to
a novel analog front end with an integrated tri-band antenna (shown in
Fig 3) and a MEMS based VCO. A proof-of-concept demonstration board is
planned for the end of year 2 (Sept 2006), and several prototype
platforms with full functionality are expected to be ready at the end of
year 3 (Sept 2007).
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Contact:
Prof. D. Raychaudhuri
732-932-6857 Ext. 638
ray (AT) winlab (DOT) rutgers (DOT) edu


Cognitive Radio
Prototype
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