Abstract

The Wireless Local Area Network (WLAN) has become a dominant piece of technology to carry wireless traffic for Internet of Things (IoT). The next-generation high-density WLAN scenario is very suitable for the development trend of the industrial wireless sensor network. However, in the high-density deployed WLAN scenarios, the access efficiency is low due to severe collisions, and the interference is diffused due to the scattered locations of the parallel access stations (STAs), which results in low area throughput, i.e., low spatial reuse gain. A spatial group-based multi-user full-duplex orthogonal frequency division multiple access (OFDMA) (GFDO) multiple access control (MAC) protocol is proposed. Firstly, the STAs in the network are divided into several spatial groups according to the neighbor channel sensing ability. Secondly, a two-level buffer state report (BSR) information collection mechanism based on P-probability is designed. Initially, intra-group STAs report their BSR information to the group header using low transmission power. After that, group headers report both their BSR information collected from their members and inter-group interference information to the access point (AP). Finally, AP schedules two spatial groups without mutual interference to carry on multi-user full duplex transmission on the subchannels in cascading mode. The closed-form formulas are theoretically derived, including the number of uplink STAs successfully collected by AP, the network throughput and area throughput under saturated traffic. The simulation results show that the theoretical analysis coincide with the simulation results. The system throughput of the GFDO protocol is 16.8% higher than that of EnFD-OMAX protocol.

Highlights

  • As the main carrier of Internet of Things (IoT), wireless local area network (WLAN) is widely used due to its advantages of low cost and easy deployment [1,2] and has become a research hotspot in industry and academia

  • The access point (AP) divides the STAs into several spatial groups according to the neighbor channel sensing capability (NCSC) [26]

  • Group headers report the buffer state report (BSR) information collected in this round and its own BSR information to the AP

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Summary

Introduction

As the main carrier of Internet of Things (IoT), wireless local area network (WLAN) is widely used due to its advantages of low cost and easy deployment [1,2] and has become a research hotspot in industry and academia. The low access efficiency problem of the high-density network will appear due to collisions between a large number of sensors/network devices, even if the multi-user MAC (MU-MAC). The interference diffusion problem of the MU-MAC protocol in a high-density network will appear, where many stations (STAs)/sensors located at different positions will simultaneously transmit to AP/sink. It is harmful to exploit the spatial reuse gain These two observations motivate us to solve the low access efficiency problem and the interference diffusion problem in high-density deployed WLAN, by exploiting the spatial grouping technology, the power control technology and full-duplex technology. [8] divides several spatial groups according to the spatial distance, reduces the interference diffusion problem of multi-user transmission, and improves the network area throughput. A spatial Group-based multi-user Full Duplex OFDMA (GFDO) MAC protocol is proposed in this paper.

Related Work and Motivation
Evaluation
System Model
The Basic Idea of GFDO Protocol
Protocol Process Description
Two-Level BSR Information Collection Mechanism
2: Step 1
10. Step 2
Group Full Duplex Transmission in a Cascading Method
Scheduling Strategy of Group Full Duplex Transmission
Performance Analysis
Analysis of the Average Number GMs of Access Channels in a Single SG
Analysis of the Average Number GHs of Access Channels in the System
Saturated throughput Analysis
Area Throughput Analysis
Simulation Scene and Parameter Setting
Analysis of the Average Number of STAs Access Channel
Saturated Throughput Analysis
Conclusions
Full Text
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