Probability and Measure

Millimeter wave (mmWave) communications have recently attracted large research interest, since the huge available bandwidth can potentially lead to the rates of multiple gigabit per second per user Though mmWave can be readily used in stationary scenarios, such as indoor hotspots or backhaul, it is challenging to use mmWave in mobile networks, where the transmitting/receiving nodes may be moving, channels may have a complicated structure, and the coordination among multiple nodes is difficult To fully exploit the high potential rates of mmWave in mobile networks, lots of technical problems must be addressed This paper presents a comprehensive survey of mmWave communications for future mobile networks (5G and beyond) We first summarize the recent channel measurement campaigns and modeling results Then, we discuss in detail recent progresses in multiple input multiple output transceiver design for mmWave communications After that, we provide an overview of the solution for multiple access and backhauling, followed by the analysis of coverage and connectivity Finally, the progresses in the standardization and deployment of mmWave for mobile networks are discussed

Millimeter Wave Communications for Future Mobile Networks

Diverse proprietary network appliances increase both the capital and operational expense of service providers, meanwhile causing problems of network ossification. Network function virtualization (NFV) is proposed to address these issues by implementing network functions as pure software on commodity and general hardware. NFV allows flexible provisioning, deployment, and centralized management of virtual network functions. Integrated with SDN, the software-defined NFV architecture further offers agile traffic steering and joint optimization of network functions and resources. This architecture benefits a wide range of applications (e.g., service chaining) and is becoming the dominant form of NFV. In this survey, we present a thorough investigation of the development of NFV under the software-defined NFV architecture, with an emphasis on service chaining as its application. We first introduce the software-defined NFV architecture as the state of the art of NFV and present relationships between NFV and SDN. Then, we provide a historic view of the involvement from middlebox to NFV. Finally, we introduce significant challenges and relevant solutions of NFV, and discuss its future research directions by different application domains.

Software-Defined Network Function Virtualization: A Survey

The fifth generation (5G) mobile communication systems will be in use around 2020. The aim of 5G systems is to provide anywhere and anytime connectivity for anyone and anything. Several new technologies are being researched for 5G systems, such as massive multiple-input multiple-output communications, vehicle-to-vehicle communications, high-speed train communications, and millimeter wave communications. Each of these technologies introduces new propagation properties and sets specific requirements on 5G channel modeling. Considering the fact that channel models are indispensable for system design and performance evaluation, accurate and efficient channel models covering various 5G technologies and scenarios are urgently needed. This paper first summarizes the requirements of the 5G channel modeling, and then provides an extensive review of the recent channel measurements and models. Finally, future research directions for channel measurements and modeling are provided.

A Survey of 5G Channel Measurements and Models

While celebrating the 21st year since the very first IEEE 802.11 “legacy” 2 Mbit/s wireless local area network standard, the latest Wi-Fi newborn is today reaching the finish line, topping the remarkable speed of 10 Gbit/s. IEEE 802.11ax was launched in May 2014 with the goal of enhancing throughput-per-area in high-density scenarios. The first 802.11ax draft versions, namely, D1.0 and D2.0, were released at the end of 2016 and 2017. Focusing on a more mature version D3.0, in this tutorial paper, we help the reader to smoothly enter into the several major 802.11ax breakthroughs, including a brand new orthogonal frequency-division multiple access-based random access approach as well as novel spatial frequency reuse techniques. In addition, this tutorial will highlight selected significant improvements (including physical layer enhancements, multi-user multiple input multiple output extensions, power saving advances, and so on) which make this standard a very significant step forward with respect to its predecessor 802.11ac.

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A Tutorial on IEEE 802.11ax High Efficiency WLANs

In the next generation Wireless Local Area Network (WLAN), IEEE 802.11 regards improving the throughput of the network as a major technical goal. Distributed Multiple Input Multiple Output (D-MIMO) System is an important issue to improve system capacity efficiency, but D-MIMO technology requires extremely high clock consistency between nodes. Therefore, this paper proposes a synchronization protocol based on Orthogonal Frequency Division Multiple Access (OFDMA) for D-MIMO. Firstly, this paper chooses a new clock synchronization process for the synchronization protocol (Two-Way Message Exchange), which is characterized by high synchronization accuracy. Second, we propose and refine the procedure of the synchronization protocol and design the frame structure of the protocol to make it compatible with IEEE 802.11 frame format. The simulation results show that with the increase of the number of APs in D-MIMO, proposed synchronization protocol reduces the overhead by nearly 50% compared with single user (SU) based synchronization protocol. Moreover, the clock synchronization accuracy increases with the increase of the number of information interactions.

OFDMA Based Synchronization Protocol for Distributed MIMO in the Next Generation WLAN.

In recent years, deep learning poses a deep technical revolution in almost every field and attracts great attentions from industry and academia. Especially, the convolutional neural network (CNN), one representative model of deep learning, achieves great successes in computer vision and natural language processing. However, simply or blindly applying CNN to the other fields results in lower training effects or makes it quite difficult to adjust the model parameters. In this poster, we propose a general methodology named V-CNN by introducing data visualizing for CNN. V-CNN introduces a data visualization model prior to CNN modeling to make sure the data after processing is fit for the features of images as well as CNN modeling. We apply V-CNN to the network intrusion detection problem based on a famous practical dataset: AWID. Simulation results confirm V-CNN significantly outperforms other studies and the recall rate of each invasion category is more than 99.8%.

V-CNN: When Convolutional Neural Network encounters Data Visualization.

Wireless directional ad hoc networks has attracted much attention from academic area in recent years due to its large antenna gain, small multipath interference, long propagation distance and space reusability. However, since the signal in other directions cannot be well sensed, the environment of the communication channel cannot be predicted, thus causing interference between multiple concurrent transmission links. Therefore, it is extremely important to study the wireless directional ad hoc networks and use its advantages to overcome its shortcomings. In this paper, the concurrent link interference problem in the wireless directional ad hoc networks is analyzed. Firstly, this paper analyzes the advantages and disadvantages of the classical Push mechanism and Pull mechanism. Then, a network resource allocation protocol, CSPC (Collision Scattering and Push-Pull Cascading), is proposed for the transmission and reception of network resources. CSPC protocol mainly uses the idea of collision scattering to increase the proportion of data transmission success by using frequency division of the time slot in the time slot where data transmission fails. The simulation results show that using CSPC protocol can efficiently increase the network throughput and solve the collision problem between concurrent transmission links.

Distributed Network Resource Allocation Protocol Based on Collision Scattering and Push-Pull Cascading Mechanism

With the development of vehicle sensors, artificial intelligence and vehicle network technique, Advanced Driving Assistant System (ADAS) technology is now experiencing a rapid development. However the interaction of the sensors’ data in the real scene is seldom discussed. This paper firstly describes the application scenarios and typical working mechanism of ADAS. Then it analyses the advantages and deficiencies of the environment perception only based on vehicle-self sensors. Secondly, it describes the main research of vehicle networking. Lastly through two typical scenes it analyses the possibility and problem of communicating the sensors’ data via vehicle networking. Through the application scenarios analysis, it proposes a new potential research route for the ADAS.

Analysis of ADAS Technology Principle and Application Scenario

With the increasing in demand for video traffic, video service has been becoming more and more diversified. Scaled video coding (SVC) has become one of the most common video code technology to meet the requirements of different video service types. Therefore, SVC based video users quality of service (QoS) guarantee is one of the most basic problems of the network, but there are few studies focusing on the SVC based video users QoS guarantee protocol for the next generation wireless location access network (WLAN). This paper proposes SVC based media access control (MAC) protocol with QoS guarantee for next generation WLAN, referred to as QoS-SVC. If there are some residual sub-channels resource after the first channel contention, the protocol offers another opportunity, named second random contention, for the video users both collided and successful in the first random contention phase and enables them to transmit their data in the residual sub-channels. The simulation results show that the throughput adopting QoS-SVC is improved by 154%, compared with non-second random contention access (Non-SRCA) protocol.

Zhongjiang Yan

Papers

OFDMA Based Synchronization Protocol for Distributed MIMO in the Next Generation WLAN.

V-CNN: When Convolutional Neural Network encounters Data Visualization.

Distributed Network Resource Allocation Protocol Based on Collision Scattering and Push-Pull Cascading Mechanism

Analysis of ADAS Technology Principle and Application Scenario

SVC Based Multiple Access Protocol with QoS Guarantee for Next Generation WLAN (Invited Paper).