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Our research / Information and communication technologies / Wireless communications

Wireless communications

Industrial Research develops new wireless communication technologies to enable the future provision of more reliable broadband services and applications. Our expertise is the development of baseband signal processing algorithms for wireless communications and implementation as DSP[?] software and/or FPGA[?] firmware.

We have long-standing research collaborations with the Universities of Auckland and Canterbury with whom we comprise the New Zealand Wireless Research Network.  We also have strong linkages to the WAND Group at the University of Waikato.

Our research focus is the development of robust wireless communications networks which exhibit high spectral efficiency and are resilient to multipath fading and interference from heterogeneous systems.  We work with New Zealand industry to improve the international competitiveness of export-oriented products. Current research includes:

wireless communications image

Cognitive radio

Industrial Research is developing baseband signal processing algorithms that will allow cognitive radios of the future to share spectrum with heterogeneous interferers.

This will provide more robust communications by using technology to manage the efficient use of radio spectrum. It will be achieved by developing cognitive radio algorithms which:

  • reliably detect interference, including wideband, Gaussian and non-cyclostationary
  • ensure reliable communications, at reduced throughput, with up to 50% spectral overlap with wideband interference
  • allow for managed transition to interference-free spectrum with no disruption to delay-sensistive services

  • integrate with common wireless standards, including IEEE 802.22, IEEE 802.11a/g and IEEE 802.16-2004, on DSP[?] and/or FPGA[?] processors.

MIMO-OFDM

Industrial Research has developed significant capability and intellectual property in MIMO-OFDM baseband signal processing algorithms which are suitable standards-compliant implementation on DSP and/or FPGA platforms.

Our capability and intellectual property portfolio comprises:

  • ‘best in class’ detection and synchronization algorithms for OFDM, allowing 20% more coverage or  20% more throughput at a given range
  • standard-compliant baseband implementations of IEEE 802.11a and IEEE 802.16-2004 on a real-time Analog Devices TigerSHARC DSP platform
  • implementation of MIMO diversity for OFDM using Alamouti method
  • implementation of ‘true MIMO’ capacity gain for OFDM  using SVD method

  • target FPGA implementations for IEEE 802.16e and IEEE 802.11n.

Case studies

Last updated: 3 December 2009 | malcolmb