MIMO antenna arrays built on metamaterial substrates

Overview

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.

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

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
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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
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Intellectual Property and Development Status

United States Issued Patent - MIMO antenna arrays built on metamaterial substrates 

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