PAGE TITLE
Overview
PAGE SUMMARY
This technology is an algorithm for selecting the optimal antenna configuration in communication systems employing Multiple Input Multiple Output (MIMO), Single Input Multiple Output (SIMO), and Multiple Input Single Output (MISO) techniques. The method leverages spatial correlation, channel reciprocal condition number, delay spread, and average Signal to Noise Ratio (SNR) data to choose the most suitable antenna radiation pattern at the receiver. This approach enables capacity gains in multi-element reconfigurable antenna systems without requiring modifications to the conventional wireless communication system's data frame. The method is particularly well-suited for pattern reconfigurable antennas, as they offer advantages in terms of size and spectral efficiency.
ADVANTAGES
TITLE:Key Advantages
Efficient selection of antenna configuration for reconfigurable multi-element antennas
Capacity gains in MIMO, SIMO, and MISO systems without modifying existing data frames
Effective use of pattern reconfigurable antennas, especially for spectral efficiency optimization
No extra power consumption during the antenna configuration selection process
Reduced space and cost constraints compared to traditional multi-element antenna systems
Improved bit error rate performance of the system by selecting the optimal antenna configuration for each channel realization
Problem Solved
TITLE:Problems Solved
Mitigates the power consumption and performance drawbacks associated with channel estimation for each antenna configuration
Ensures that the losses due to imperfect channel estimation do not exceed the capacity gains offered by reconfigurable antennas
Provides a solution for selecting antenna configurations that optimize spectral efficiency
Addresses the challenges of adapting antennas to wireless channel conditions without the need for simultaneous transmitter and receiver configuration changes
APPLICATIONS
TITLE: Market Applications
Systems employing beamforming and spatial multiplexing
Wireless local area networks (WLANs), personal area networks (WPANs), and ad hoc networks
Sensor networks, Wireless body area networks, Radar systems, Satellite communication networks
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IP STATUS
Intellectual Property and Development Status
United States Issued Patent - MIMO antenna arrays built on metamaterial substrates
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Contact Information
For Intellectual Property and Licensing inquiries
Tanvi Muni, PhD
Licensing Manager
Drexel Applied Innovation
Office of Research and Innovation
3250 Chestnut Street, Ste. 3010 Philadelphia, PA 19104
Phone:267-359-5640
Email:tanvi.muni@drexel.edu
Inventor information
Kapil R. Dandekar, Ph.D.
Director, Drexel Wireless Systems Laboratory
E. Warren Colehower Chair Professor
Associate Dean for Enrollment Management and Graduate Education
Electrical and Computer Engineering
Office of the Dean
3101 Market St 232A; CAT 170
Philadelphia, PA 19104, USA
Phone: 1-215-895-2004
Email: dandekar@drexel.edu
Inventor Webpage
Drexel Wireless Systems Laboratory