Office of Technology Transfer – University of Michigan

Design of the Nonbinary Interface in an Interative Detection-Decoding Multiple-Input Multiple-Output Wireless Receiver

Technology #6491

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Researchers
Zhengya Zhang
Managed By
Joohee Kim
Licensing Specialist, Physical Sciences & Engineering 734.764.8202
Patent Protection
US Patent Pending 2016-0249234

This technology is a new method of nonbinary IDD for MIMO wireless systems, improving wireless technology performance by offering better coding gains and improved detection-decoding performance. To improve the performance of IDD in MIMO systems, a nonbinary IDD solution can be used but is currently inefficient and can induce a bottleneck in performance. This technology offers a solution to reduce inefficiencies and improve IDD performance, increasing throughput. Demand for wireless data is increasing, in 2014 1.26B smartphones were sold globally, with an estimated 50B connected devices by 2020. With that demand, smartphone wireless semiconductor suppliers could access a total accessible market of $16.5B. Another facet of this technology is its potential scalability for larger arrays. Future 5G cellular data may also benefit from this technology since it addresses limited throughput, which is a key challenge in the development of the “massive MIMO” systems used for 5G.

MIMO Baseband Processor (Improved MIMO IDD Performance)

This technology uses a new nonbinary interface that uses a nearest neighbor method and a direct conversion method. The performance has been demonstrated in a 65nm MMSE-NBLDPC iterative detector-decoder test chip. The results were 1,380 Mb/s detection and 1,020 Mb/s decoding, compared to 396 Mb/s detecting and 585 Mb/s decoding in the state of the art system (using sphere decoding and binary LDPC).

Applications

  • Cellular Data (LTE and WiMax)
  • Wi-Fi
  • Future 5G cellular data (work is being done investigating massive MIMO systems where this technology may be helpful)

Advantages

  • High fidelity MIMO (4x4)
  • High density modulation (256 QAM)
  • Improve performance compared to binary IDD
  • Higher throughput (almost 3.5x higher than standard state of the art systems)
  • More scalable than current state of the art