Model-Based and AI-Assisted Autonomous Interference-Avoiding Directional Networking

Abstract

We consider the problem of dynamically optimizing a multiple-input multiple-output (MIMO) wireless waveform in a given potentially heavily utilized fixed frequency band with applications in near-field or far-field autonomous machine-to-machine communications. In this report, we cover two novel model-based solutions: (a) Disjoint, space first (transmit weight vector) then time (pulse code sequence) waveform optimization and (b) jointly optimal transmit weight vector and pulse code sequence optimization (a mixed integer programming problem.) The proposed formally derived algorithmic solutions are studied in extensive simulations. The report also covers the evaluation of the proposed algorithms on RF System-on-a-Chip hardware.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2024
Accession Number
AD1223998

Entities

People

  • Dimitris A. Pados
  • George Sklivanitis

Organizations

  • Florida Atlantic University

Tags

Fields of Study

  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Radio communications and signal processing.

Technology Areas

  • Space