Abstract

The IEEE 802.11ax high-efficiency wireless local area network (HEW) is promising as a foundation for evolving the fifth-generation (5G) radio access network on unlicensed bands (5G-U). 5G-U is a continued effort toward rich ubiquitous communication infrastructures, promising faster and reliable services for the end user. HEW is likely to provide four times higher network efficiency even in highly dense network deployments. However, the current wireless local area network (WLAN) itself faces huge challenge of efficient radio access due to its contention-based nature. WLAN uses a carrier sense multiple access with collision avoidance (CSMA/CA) procedure in medium access control (MAC) protocols, which is based on a binary exponential backoff (BEB) mechanism. Blind increase and decrease of the contention window in BEB limits the performance of WLAN to a limited number of contenders, thus affecting end-user quality of experience. In this paper, we identify future use cases of HEW proposed for 5G-U networks. We use a self-scrutinized channel observation-based scaled backoff (COSB) mechanism to handle the high-density contention challenges. Furthermore, a recursive discrete-time Markov chain model (R-DTMC) is formulated to analyze the performance efficiency of the proposed solution. The analytical and simulation results show that the proposed mechanism can improve user experience in 5G-U networks.

Highlights

  • Fifth-generation (5G) wireless systems are becoming a priority for telecom operators, as 5G comes with the promise of unseen services and a broad range of new use cases and business models ranging from smart transport systems to smart agriculture and factories. 5G is expected to push the digitization of the economy further due to its ability to handle large volumes of data with low latency in real time

  • carrier sense multiple access with collision avoidance (CSMA/CA) is based on a binary exponential backoff (BEB) mechanism, which blindly increases and decreases the contention window for collided and successful transmissions, respectively

  • To handle the performance degradation challenge caused by increasing density of the wireless local area networks (WLAN) in those use cases, a channel observation-based scaled backoff (COSB) mechanism based on practical channel collision probability is proposed

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Summary

Introduction

Fifth-generation (5G) wireless systems are becoming a priority for telecom operators, as 5G comes with the promise of unseen services and a broad range of new use cases and business models ranging from smart transport systems to smart agriculture and factories. 5G is expected to push the digitization of the economy further due to its ability to handle large volumes of data with low latency in real time. For fewer contending WEs, the blind exponential increase of Wcur for collision avoidance causes an unnecessarily long delay due to the wider range for selecting B This blind increase/decrease of the backoff window is more inefficient in the highly dense networks proposed for IEEE 802.11ax enabling for 5G-U, because the probability of contention collision increases with the increasing number of WEs. the current MAC-RA protocol does not allow WLANs to achieve high efficiency in highly dense environments and become a part of future 5G-U, whereas the upcoming HEW will suffer from such unresolved issues as they will be required to achieve four times higher network efficiency, even in highly dense network deployments [3]. These include a high throughput HEW in the form of a gigabit ethernet connection replacement, improved network capacity with multi-user multiple-input and multiple-output (MU-MIMO) transmissions, using HEW as a backhaul for local area networks (LAN), and supporting highly dense scenarios (such as an office building, stadium, train, etc.)

Gigabit Ethernet Connection Replacement
Support for Highly Dense Scenarios
Problem Statement
54 Mbps 24 Bytes
Analytical Model
Normalized Throughput
Average Delay
Performance Evaluation
Normalized Throughput and Average Delay
Maximum Approximate Saturation Throughput
Average Channel Utilization Per Data Frame Transmission
Conclusions
Full Text
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