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Uplink OFDM detection with random multiple access.

Amir J Salomon1, Benjamin G Salomon2, Ofer Amrani3

  • 1Department of Electrical Engineering-Systems, Tel Aviv University, 69978, Ramat Aviv, Tel-Aviv, Israel. amirs4261@gmail.com.

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Orthogonal Frequency-Division Multiplexing with Random Multiple Access (OFDRMA) offers a novel uplink communication method. This scheme simplifies resource allocation by using random, user-specific frequency assignments, outperforming traditional multi-user MIMO systems.

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Area of Science:

  • Wireless communication systems
  • Signal processing
  • Information theory

Background:

  • Traditional uplink communication methods require complex central resource allocation.
  • Existing non-orthogonal methods still necessitate dynamic resource management.
  • OFDRMA aims to reduce the overhead associated with frequency allocation management.

Purpose of the Study:

  • To introduce and analyze Orthogonal Frequency-Division Multiplexing with Random Multiple Access (OFDRMA) for uplink communications.
  • To present a robust multi-user detection approach for OFDRMA.
  • To evaluate the capacity and performance of OFDRMA, comparing it with MU-MIMO.

Main Methods:

  • OFDRMA utilizes random, predetermined frequency bin allocations unique to each user and the base station (BS).
  • A multi-user detection scheme based on graphical representation is proposed for OFDRMA.
  • Capacity analysis and system optimization are performed for OFDRMA.

Main Results:

  • The proposed multi-user detection scheme demonstrates robustness against the random nature of OFDRMA.
  • Detailed analysis of OFDRMA's capacity and optimization strategies are provided.
  • Simulation results show OFDRMA's performance, with comparisons to MU-MIMO schemes.

Conclusions:

  • OFDRMA presents a viable alternative to traditional and current non-orthogonal uplink schemes by simplifying resource allocation.
  • The proposed detection method enhances OFDRMA's reliability.
  • OFDRMA demonstrates competitive or superior performance compared to MU-MIMO in specific scenarios.