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Next-Generation Wireless Network Protocol Design

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (4 March 2022) | Viewed by 6515

Special Issue Editor


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Guest Editor
Department of Computer Science and Engineering, Sogang University, Seoul 04107, Korea
Interests: network protocol design and optimization; machine learning

Special Issue Information

Dear Colleagues,

Throughout the evolution of wireless networks, one of the major goals for designing the next-generation system was to push the peak data rate up. However, the increasing gap between peak data rate and user-experienced speed has led to a consideration for efficient spectrum usage. For example, DCF (distributed coordinated function), which is a medium access control protocol for Wi-Fi systems, is not targeted for a scenario with a high density of users. Therefore, its performance degrades quickly as the number of users in the area increases. The peak data rate can be increased using a wider spectrum in the high frequency band, but we also need better wireless protocols to increase the efficiency of spectrum usage and thereby improve user experience with the system. The new protocols must consider usage scenarios such as the high density of users and traffic, different service requirements of heterogeneous devices, and characteristics of new radio in the high frequency bands. Additionally, the new protocols should incorporate state-of-the-art technologies such as traffic prediction based on machine learning to intelligently allocate resource to users and achieve high efficiency.

This Special Issue on “Next-Generation Wireless Network Protocol Design” aims to collect new and interesting ways of designing protocols for future wireless networks, including broadband cellular networks, Wi-Fi, and other wireless network systems.

Topics of interest include, but are not limited to, the following areas:

  • 5G and 6G systems;
  • IEEE 802.11ax, 802.11be and other wireless LAN standards;
  • Vehicular networks;
  • Machine-to-machine communications;
  • Energy-efficient communications;
  • Software-defined networks and network virtualization (SDN/NFV);
  • Protocols that utilize full duplex communications and non-orthogonal multiple access;
  • Efficient resource management and allocation algorithms;
  • Machine learning-based protocols;
  • Theoretical analysis of wireless network performance;
  • Performance comparison of state-of-the-art network technologies;
  • Wireless network simulators, simulation modules, and simulation methodologies;
  • Experience with testbed implementations.

Prof. Dr. Jungmin So
Guest Editor

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Published Papers (2 papers)

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Research

24 pages, 5115 KiB  
Article
Improving Spatial Reuse of Wireless LAN Uplink Using BSS Color and Proximity Information
by Hyerin Kim and Jungmin So
Appl. Sci. 2021, 11(22), 11074; https://doi.org/10.3390/app112211074 - 22 Nov 2021
Cited by 5 | Viewed by 3254
Abstract
With the density of wireless networks increasing rapidly, one of the major goals in next-generation wireless LANs (Local Area Networks) is to support a very dense network with a large number of closely deployed APs (Access Points) and crowded users. However, the CSMA [...] Read more.
With the density of wireless networks increasing rapidly, one of the major goals in next-generation wireless LANs (Local Area Networks) is to support a very dense network with a large number of closely deployed APs (Access Points) and crowded users. However, the CSMA (Carrier-Sense Multiple Access)-based medium access control of current wireless network systems suffers from significantly degraded performance when the network becomes dense. Recent WLAN (Wireless Local Area Networks) standards include measures for increasing spatial reuse such as BSS (Basic Service Set) coloring, but the schemes based on BSS coloring such as OBSS/PD (Overlapping BSS/Preamble Detection) have limitations in improving spatial reuse. In this paper, we propose a spatial reuse method for uplink which can utilize BSS color and proximity information to improve the efficiency of carrier sensing and thus spatial reuse. Specifically, through the BSS color and the proximity information, a node receiving a preamble can figure out how far the receiver of the ongoing traffic is located. This information is used to determine whether the node should aggressively start transmitting or defer its transmission to protect the ongoing transmission. Simulation results show that the proposed method outperforms existing methods in terms of throughput and fairness. Full article
(This article belongs to the Special Issue Next-Generation Wireless Network Protocol Design)
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19 pages, 815 KiB  
Article
Transmission Delay-Based Uplink Multi-User Scheduling in IEEE 802.11ax Networks
by Yonggang Kim, Gyungmin Kim, Youngwoo Oh and Wooyeol Choi
Appl. Sci. 2021, 11(19), 9196; https://doi.org/10.3390/app11199196 - 2 Oct 2021
Cited by 3 | Viewed by 2505
Abstract
As the demands for uplink traffic increase, improving the uplink throughput has attracted research attention in IEEE 802.11 networks. To avoid excessive competition among stations and enhance the uplink throughput performance, the IEEE 802.11ax standard supports uplink multi-user transmission scenarios, in which AP [...] Read more.
As the demands for uplink traffic increase, improving the uplink throughput has attracted research attention in IEEE 802.11 networks. To avoid excessive competition among stations and enhance the uplink throughput performance, the IEEE 802.11ax standard supports uplink multi-user transmission scenarios, in which AP triggers certain stations in a network to transmit uplink data simultaneously. The performance of uplink multi-user transmissions highly depends on the scheduler, and station scheduling is still an open research area in IEEE-802.11ax-based networks. In this paper, we propose a transmission delay-based uplink multi-user scheduling method. The proposed method consists of two steps. In the first step, the proposed method makcreateses station clusters so that stations in each cluster have similar expected transmission delays. The transmission delay-based station clustering increases the ues of uplink data channels during the uplink multi-user transmission scenario specified in IEEE 802.11ax. In the second step, the proposed method selects cluster for uplink multi-user transmissions. The cluster selection can be performed with a proportional fair-based approach. With the highly channel-efficient station cluster, the proposed scheduling method increases network throughput performance. Through the IEEE 802.11ax standard compliant simulations, we verify the network throughput performance of the proposed uplink scheduling method. Full article
(This article belongs to the Special Issue Next-Generation Wireless Network Protocol Design)
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