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SIC-based Random Multiple Access Protocol: Fixed or Adaptive Approach

A. B. Abdul Razzaque, A. Baiocchi

TL;DR

The paper tackles data collection for massive IoT by proposing a SIC-enabled random access protocol with adaptive and fixed parameter schemes. It develops a slotted, grant-free model where backlogged nodes transmit with probability $p$ and target SNIR $\gamma$, and where slot duration $T(\gamma)$ and decoding employ perfect interference cancellation. Through analytical expressions and simulations, the study shows that the adaptive scheme significantly improves throughput, reduces access delay, and lowers Age of Information (AoI) compared to the fixed approach, especially under heavy traffic, while maintaining spectral efficiency via SIC. The results advocate for adaptive, SIC-based MAC designs in IoT networks to balance complexity with substantial performance gains, and point to practical directions for estimating backlogged nodes and implementing SIC in real systems.

Abstract

Efficient data collection from a multitude of Internet of Things (IoT) devices is crucial for various applications, yet existing solutions often struggle with minimizing access delay and Age of Information (AoI), especially when managing multiple simultaneous transmissions and access strategies. This challenge becomes increasingly critical as IoT deployments continue to expand, demanding robust mechanisms for handling diverse traffic scenarios. In this study, we propose a novel approach leveraging Successive Interference Cancellation (SIC) based on adaptive and fixed parameter schemes to address these limitations. By analyzing both throughput and AoI along with access delay, we demonstrate the effectiveness of our adaptive approach compared to the fixed approach, particularly in scenarios featuring heavy and light traffic. Our findings highlight the pivotal role of adaptive approaches in optimizing data collection processes in IoT ecosystems, with a particular focus on minimizing access delay, AoI, and spectral efficiency.

SIC-based Random Multiple Access Protocol: Fixed or Adaptive Approach

TL;DR

The paper tackles data collection for massive IoT by proposing a SIC-enabled random access protocol with adaptive and fixed parameter schemes. It develops a slotted, grant-free model where backlogged nodes transmit with probability and target SNIR , and where slot duration and decoding employ perfect interference cancellation. Through analytical expressions and simulations, the study shows that the adaptive scheme significantly improves throughput, reduces access delay, and lowers Age of Information (AoI) compared to the fixed approach, especially under heavy traffic, while maintaining spectral efficiency via SIC. The results advocate for adaptive, SIC-based MAC designs in IoT networks to balance complexity with substantial performance gains, and point to practical directions for estimating backlogged nodes and implementing SIC in real systems.

Abstract

Efficient data collection from a multitude of Internet of Things (IoT) devices is crucial for various applications, yet existing solutions often struggle with minimizing access delay and Age of Information (AoI), especially when managing multiple simultaneous transmissions and access strategies. This challenge becomes increasingly critical as IoT deployments continue to expand, demanding robust mechanisms for handling diverse traffic scenarios. In this study, we propose a novel approach leveraging Successive Interference Cancellation (SIC) based on adaptive and fixed parameter schemes to address these limitations. By analyzing both throughput and AoI along with access delay, we demonstrate the effectiveness of our adaptive approach compared to the fixed approach, particularly in scenarios featuring heavy and light traffic. Our findings highlight the pivotal role of adaptive approaches in optimizing data collection processes in IoT ecosystems, with a particular focus on minimizing access delay, AoI, and spectral efficiency.
Paper Structure (16 sections, 15 equations, 5 figures)

This paper contains 16 sections, 15 equations, 5 figures.

Table of Contents

  1. Introduction
  2. System Model and Analysis
  3. Model definition
  4. Model Analysis
  5. Inter-departure time
  6. Success Probability and CBR
  7. Throughput
  8. Access Delay
  9. Age of Information
  10. Numerical Evaluations
  11. Light and heavy traffic regimes
  12. PDR and access delay
  13. Throughput and AoI
  14. Throughput
  15. AoI
  16. ...and 1 more sections

Figures (5)

  • Figure 1: Packet delivery ratio as a function of $S$.
  • Figure 2: Mean access delay as a function of $S$.
  • Figure 3: Throughput in kilo-bit per second as a function of $S$.
  • Figure 4: Normalized throughput as a function of $S$.
  • Figure 5: Mean AoI as a function of $S$