Abstract

With the implementation of 4G mobile networks, the number of M2M users will be much large in a cell. When massive M2M users try to randomly access simultaneously, this will impose a great influence on H2H communication. Without effective control, these M2M users will lead to a system breakdown. In this paper, we put forward a model, which allows low delay tolerance of users to have a higher priority for random access, when contending with high delay tolerance of users for limited random access resources. In this model, by controlling access rates of different delay tolerance of users, the random access success probability will be improved efficiently. In the meantime, it will achieve the highest success probability and optimize the system performance by setting optimal access rates for different delay tolerance of users. This will be a practical guide to M2M communication in LTE system.

Highlights

  • The full paper is organized as follows

  • This paper proves that hierarchical control of different users can efficiently improve random access success probability and optimize system performance

  • A system model is proposed in Section 4 to improve random access success probability when numerous users access simultaneously

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Summary

Introduction

The full paper is organized as follows. A system model is proposed in Section 4 to improve random access success probability when numerous users access simultaneously. We analyze the model and come to a conclusion that setting optimal access rates for different levels of users will achieve the highest success probability.

Research Background
LTE Random Access
System Model
Analysis
Simulation
Conclusion
Full Text
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