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Quantum and Quantum-Inspired Computing

for Large-Scale NOMA-MIMO Wireless Networks

Interns: Jeff Tang, Alex Markley

Advisors: Minsung Kim, Byungjun Kim

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Project Team

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Jeffrey Tang

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Rutgers Undergraduate,

B.S. Computer Science

and Mathematics

Alex Markley

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Rutgers Graduate Student,

M.S. Computer Science

Minsung Kim

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Rutgers Assistant Professor, Dept. of Computer Science

Byungjun Kim

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Rutgers Postdoc Researcher

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IoT use cases, where a large number of devices transmit data with low-power consumption.

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Network signals must be decoded with optimal and expensive algorithms within tight time bounds.

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Motivation

Base Station

IoT Devices

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Use quantum-inspired algorithms to perform optimal MIMO channel decoding at the receiver within the time bounds and using large MIMO sizes.

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Objective

Base Station

IoT Devices

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Plan

  1. Traditional MIMO as baseline
  2. Implement quantum-inspired decoding - Simulated Annealing with Parallel Tampering
  3. Add NOMA & Blind MIMO on top of quantum-inspired algorithm

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