Hong Ao

A Novel Optimal Joint Resource Allocation Method in Cooperative Multicarrier Networks: Theory and Practice

With the increasing demands for better transmission speed and robust quality of service (QoS), the capacity constrained backhaul gradually becomes a bottleneck in cooperative wireless networks, e.g., in the Internet of Things (IoT) scenario in joint processing mode of LTE-Advanced Pro. This paper focuses on resource allocation within capacity constrained backhaul in uplink cooperative wireless networks, where two base stations (BSs) equipped with single antennae serve multiple single-antennae users via multi-carrier transmission mode. In this work, we propose a novel cooperative transmission scheme based on compress-and-forward with user pairing to solve the joint mixed integer programming problem. To maximize the system capacity under the limited backhaul, we formulate the joint optimization problem of user sorting, subcarrier mapping and backhaul resource sharing among different pairs (subcarriers for users). A novel robust and efficient centralized algorithm based on alternating optimization strategy and perfect mapping is proposed. Simulations show that our novel method can improve the system capacity significantly under the constraint of the backhaul resource compared with the blind alternatives.

Mobile Network Security and Privacy in WSN

Abstract This paper discuss the term threats, attacks and vulnerabilities in Wireless Sensor Networks followed by a model that relates the three entities. Based on the model, a framework of Trusted Wireless Sensor node is presented consisting of two major sections which are platform security enhancement and Trusted Authentication protocol to enhance sensor nodes security features and confirm the fidelity of node joining the network respectively. The design of the framework is in line with Trusted Computing Group specifications toward trusted platform implementation. Finally, brief analysis on the proposed framework is presented.

A novel resource allocation in imperfect D2D cooperation in LTE-Advanced Pro systems

The increasing demand on higher transmission speed and lower latency has become popular in 5G related researches. Cooperation is one possible solution to enhance system performance. In this work, we focus on the problem of enhancing the performance of cooperative among mobile terminals under the constraint of cooperative link capacity. Different from traditional researches, we consider the scenario that multiple mobile terminals are working in cooperative mode and the capacity of the link to perform cooperation is limited, which will limit the performance of cooperation. First of all, we establish the scenario and mathematical modeling of the imperfect cooperation among terminals, then we propose a novel sub-optimal centralized method to tackle the problem. A system level simulation result has been given at the end of our manuscript. The result indicates that, the capacity constraint cooperative link will greatly limit the performance of cooperation, by adopting our proposed method, about 7% performance gain could be obtained on average.

The diagnosis of wired network malfunctions based on big data and traffic prediction: An overview

The increasing demand on higher transmission speed and shorter delay in wired networks becomes critical in recent communication networks. However, the capacity of transmission link is limited by the method of transmission. In this paper, aiming at the situation of large scale networks, an overview of the network optimization based on big data and traffic prediction is given in our proposed work. In wired networks, how to make full use of the transmission bandwidth and provide more reliable QoS is in great demand. Based on the network topology in our facility, we make a summary of current diagnosis method of the network and then propose the future possible way to solve the network malfunction based on big data through network log and complex monitors, then we make an overview of the diagnosis method based on traffic prediction, which could effectively make full use of bandwidth and avoid collision of the network.

Cooperative Downlink Resource Allocation in 5G Wireless Backhaul Network

The 5th wireless communication system will provide higher throughput and more reliable QoS through many key techniques. Cooperation is one possible technology that may provide satisfied performance to users, especially the cell edge users. In this work, we provide the analysis of resource allocation in wireless backhaul networks, through capacity constraint wireless backhaul, the cooperative downlink joint processing is proposed to enhance cell edge performance. We propose the system level simulation and evaluate the cluster performance. Simulation results indicate that the capacity constraint wireless backhaul will bring delay, capacity limit to joint processing method, traditional cooperation scheme will not work well, and our proposed method could gain 13% compared to traditional method.

Energy Oriented Resource Allocation in Heterogeneous 5G Networks

The development of 5G wireless communication systems are changing the daily life. Both transmission speed and Quality of Service (QoS) are developing fast. However, the increasing demand of data traffic brought about the number of base stations, which lead to the additional consumption of system power. Therefore, some of the power consumption is unnecessary by achieving same system performance. In this work, we discuss the resource allocation method in different policies to reduce energy consumption without losing the performance. Both theoretic and system level results are given in this work.

Modeling and Practise of Satellite Communication Systems Using Physical Layer Security: A Survey

Physical layer security has become popular in recent years. In satellite communication systems, wire-tap users are easy to obtain information from satellite side for the range of the beam is broad. In this work, we consider the multi user scenario, by adopting the dynamic beam forming in satellite networks, the beam could be restricted into the small range, where wire-tap users could not obtain information from the side band and the information security has been obtained by using the scheme. From the simulation result, we can conclude that, by using the proposed physical layer security method, the wiretap user could not retreat enough information.

A novel energy aware uplink cooperative link resource allocation method in LTE-A networks

Considering the demand on energy savings in future wireless networks, consumptions on cooperative links between different base stations becomes more and more critical with the rapid development of wireless communication systems. Coordinated Multi-Point Transmission/Reception (CoMP) gradually becomes popular due to the demand of higher transmission rate and more reliable Quality of Service (QoS), but the utilization of cooperative links will bring additional power consumption in signal processing and transmission in system cooperative link. In this paper, we propose a novel energy aware resource allocation scheme in cooperative links to reduce the energy consumption in system backhaul link. Considering the energy saving in cooperative uplink transmission scenario, we propose a novel energy aware resource allocation scheme to reduce energy consumption without losing system performance. First, we group different users in a sub-optimal way by analyzing the distance and the traffic load jointly, then we propose a multi-stage resource allocation scheme in system cooperative link by using the optimal multi-stage cooperative decoding scheme. By reducing the traffic load transmitted in system backhaul, the energy consumption in system backhaul will be reduced significantly. Simulation result indicates that, our proposed method could gain about 32% of the total energy consumption in system cooperative link and the influence to system performance is less than 2%, which could be omitted.

Analysis of Signaling Overhead and Performance Evaluation in Cellular Networks of WeChat Software

The instant communication software such as WeChat, QQ and Fetion becomes popular with the rapid development of mobile terminals and wireless personal communication technology. To refresh the online or offline status of such software, signaling message must be sent every given intervals. However, the signaling message raised by huge number of users will cause severe overhead of mobile networks, which will affect the outage performance of network. In this work, we analyze the signaling overhead caused by such software and evaluate the influence using the system level simulation platform. Results indicate that, the signaling overhead will affect the outage performance when the density of users is great. Practical solution is also raised at the end of our paper.