SDN控制的单BSS WiFi网络测试平台性能探析

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"A measurement study of a single-BSS software defined WiFi testbed" 本文是对一个由软件定义网络（SDN）管理的单个基本服务集（BSS）WiFi测试平台的性能评估研究。研究者们来自华中科技大学电子与信息工程学院，通过电子邮件与他们联系可以获取更多详细信息。在传统网络中，控制功能与数据转发硬件紧密集成，而SDN的出现打破了这种模式，将网络控制逻辑从硬件中分离出来，集中到一个外部控制器上。这一设计带来了高度的灵活性，使得网络管理者能够统一地控制整个网络。鉴于此，作者们对一个由SDN控制器管理的单BSS WiFi网络进行了深入的性能分析。在实验室环境下，研究者针对不同场景进行了测量研究。该评估主要关注不同设备间的吞吐量性能，同时考虑了节点数量和包大小对TCP及UDP流量流的影响。这样的评估有助于理解SDN在实际应用中的性能表现，特别是在WiFi网络中的效能。在实验过程中，他们分别测试了不同负载条件下的网络性能，比如增加节点数量以模拟多用户环境，以及调整数据包大小以考察网络对大、小数据传输的适应性。对于TCP和UDP这两种常见的传输协议，它们在网络中的行为可能有所不同，TCP通常提供可靠的数据传输，而UDP则更注重速度和低延迟。因此，这些测试结果对于理解SDN如何优化这两种协议的性能至关重要。通过这样的详细测量，研究者旨在揭示SDN在WiFi环境中的潜在问题，例如延迟、拥塞控制、资源分配和QoS（服务质量）管理等方面。这些发现对于进一步优化SDN控制器的设计，提高WiFi网络的效率和用户体验具有重要的指导意义。这项工作为软件定义WiFi网络提供了实证研究，不仅验证了SDN技术的潜力，也揭示了其在具体实施中可能面临的挑战。未来的研究可能会扩展到多BSS设置，或者探索SDN在其他无线通信标准如5G、LoRa等中的应用，以推动网络技术的发展和应用。

A Measurement Study of a Single-BSS Software Defined WiFi Testbed

Tausif Zahid, Fouad Yousuf Dar, Xiaojun Hei, Wenqing Cheng

School of Electronic Information and Communications

Huazhong University of Science and Technology, Wuhan, China, 430074

e-mail: tausif@hust.edu.cn, fouad@hust.edu.cn, heixj@hust.edu.cn, chengwq@hust.edu.cn

Abstract—The emerging software defined networking (SDN)

provides a new paradigm of network management by

separating control functionalities from underlying data

forwarding hardware to an external controller. SDN provides

high flexibility to control the whole network in a unified way. In

this paper, we are motivated to study the performance issues of

a software defined WiFi network testbed. This testbed consists

of a single basic service set (BSS) managed by an SDN

controller. We conducted a measurement study of this testbed

under different scenarios in the lab environments. This

evaluation study focused on the throughput performance

between different devices. The testbed was evaluated under

different traffic loads in terms of nodes and packet sizes for

both TCP and UDP traffic flows. For the comparison purpose,

the performance of the conventional WiFi network is set as the

benchmark. Our results demonstrate the trade-off between

performance and flexibility of software defined access points.

Keywords-software defined WiFi networks; performance

evaluation; measurement

I. INTRODUCTION

Wireless local area networks (WLANs), also known as

WiFi networks, have become one of the key access network

technologies in the past decade. The demands on WLANs for

functionalities and scalability are growing due to the rapid

proliferation of mobile devices and applications. The number

of devices and connections per user is steadily increasing.

The dramatic increase in use of WiFi networks suggests to

improve the WiFi network infrastructure. The traditional

WiFi infrastructure is not suitable for coping with increasing

demands. This conventional mode of operations has increased

complexity, and the operational costs of running a network

have slowed down the innovation process [1].

Today’s traditional networks mostly ignore some specific

needs of users and applications. Radio resource abstraction

and allocation is not straightforward in wireless network. It is

due to the inherent broadcast nature of wireless

communications and stochastic fluctuation of wireless

channel quality. In addition, a large number of intelligent

devices with self-adaptation awareness capabilities induce

non-trivial security challenges to wireless networks. These

challenges need to be tackled broadly by comprehensive

research efforts. The networks must be programmable enough

to transmit real-time data efficiently and reliably, to aggregate

resources scalably and flexibly, to provide management

interfaces for upper layer application systems securely and

conveniently [2].

Traditional wireless networks face many issues in term of

users and network performance. User densities are not evenly

distributed over the entire space and the RF dynamics of the

AP are very different from those experienced at the user level.

The APs are exposed with an excellent view of the room and

the user devices will be packed closely together with

attenuating bodies surrounding them. The biggest factor that

affects the client devices more than any other factors is the

degradation of signal-to-noise ratio (SNR) through both co-

channel and adjacent channel interference driven by co-

located devices, user activity, percentage of users active at a

given time and the type of services they require. To address

the challenges of WiFi networks, we first need to gather the

statistics of access points of wireless local area network.

These efforts to evaluate the overall performance of a WLAN

will be greatly helpful in the optimization of a wireless local

area network. This research aims to evaluate the performance

of a software defined Wi-Fi network in terms of network

throughput and maximum achievable throughput to determine

the performance of SDN based WiFi network.

II. BACKGROUND

Software Defined Networking is a new paradigm of net-

working which promises easier management of network with

cheap hardware. Over the years, the term Software Defined

Networking has been broadened and has not become limited

to wired network. Now the SDN ideas have also been

implemented in wireless and cellular networks [3]. SDN is

also being used to optimize back-haul networks. This goal is

achieved by separating the control plane from data plane

elements and centralizing it. All the forwarding decisions are

made in a centralized location called the controller. In this

way we have a full view of the network and we can

manipulate the flow tables of these forwarding elements from

the centralized controller. An important feature of SDN-

enabled local area network is network virtualization. This is

the ability to slice the network, based on users, subnets, or

flows of traffic which allows many benefits. The isolation

provided by slicing enables one to run experiments on the

production network safely without affecting production traffic

[4]. Network virtualization has been extended to mobile and

wireless network scenario. WNV enables several concurrent

virtual networks running on the shared wireless physical

substrate. In WNV, the physical nodes and physical links are

virtualized into several virtual nodes. Correspondingly, it is

not easy for WNV to dynamically schedule the resources,

configurations, and protocols. The prospects of implementing

144

2016 First IEEE International Conference on Computer Communication and the Interne

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SDN控制的单BSS WiFi网络测试平台性能探析

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