Realistic mobility models are fundamental to evaluate the performance of protocols in mobile ad hoc networks. Unfortunately, there are no mobility models that capture the non-homogeneous behaviors in both space and time commonly found in reality, while at the same time being easy to use and analyze. Motivated by this, we propose a time-variant community mobility model, referred to as the TVC model, which realistically captures spatial and temporal correlations. We devise the communities that lead to skewed location visiting preferences, and time periods that allow us to model time dependent behaviors and periodic re-appearances of nodes at specific locations.
To demonstrate the power and flexibility of the TVC model, we use it to generate synthetic traces that match the characteristics of a number of qualitatively different mobility traces, including wireless LAN traces, vehicular mobility traces, and human encounter traces. More importantly, we show that, despite the high level of realism achieved, our TVC model is still theoretically tractable. To establish this, we derive a number of important quantities related to protocol performance, such as the average node degree, the hitting time, and the meeting time, and provide examples of how to utilize this theory to guide design decisions in routing protocols.
Mobility modeling in 5G and beyond 5G must address typical features such as time-varying correlation between mobility patterns of different nodes, and their variation ranging from macro-mobility (kilometer range) to micro-mobility (sub-meter range). Current models have strong limitations in doing so: the widely used reference-based models, such as the Reference Point Group Mobility (RPGM), lack flexibility and accuracy, while the more sophisticated rule-based (i.e. behavioral) models are complex to set-up and tune. This paper introduces a new rule-based Modular Mobility Model, named Mo3, that …
Outage Probability Analysis of Selective-Decode and Forward Cooperative Wireless Network over Time Varying Fading Channels with Node Mobility and Imperfect CSI Condition
Mobile augmented reality (MAR) applications extended in the metaverse could provide mixed and immersive experiences by amalgamating the virtual and physical world. However, the joint consideration between MAR and metaverse seeks the reliable and high quality support for foreground interactions and background contents from these applications, which intensifies their consumption in energy, caching and computing resources. To tackle these challenges, a more flexible request assignment and resource allocation with more efficient processing are proposed in this paper through anchoring decomposed me…
Wireless broadband technology is now in motion to provide higher data rate, wider coverage and improved mobility. Towards this the 4G - network is an integration of various wireless technologies and expected to provide seamless mobility. Moreover 4G-networks will be entirely packet switched systems based on IP protocol. One of the research challenges for 4G-Network is the design of intelligent mobility management techniques that take advantage of IP-based technologies to achieve global roaming among various access technologies. Hence Mobile IPv6 is considered to be one of the key technologies …
A Study of Network Based Mobility Management Schemes, 6LoWPAN Mobility, Open Issues and Proposed Solutions
无线传感器节点作为构建物联网的关键要素，在互联网上获取和传输信息，得到了广泛的应用。随着IPv6 over Low Power Wireless Personal Area Network（6LoWPAN）的引入，将这些受限设备连接到IPv6网络并传输IPv6数据包成为可能。传感器节点被部署/安装在许多对象上，其中一些是移动的（移动），包括移动小工具，物理对象（生命或非生命）等。这些移动对象需要足够的移动性管理方案来照顾数据传输。基于主机的移动性协议; MIPv 6及其扩展不适合这些资源受限的设备。在本文中，我们的重点是研究基于PMIPv 6的移动性管理和不同的情况下，它随着传感器设备。现有的研究已经在HO延迟方面做出了许多改进，但是很少关注信令成本和分组丢失，特别是在时间关键领域。该研究提供了基于网络的移动性管理方案、6LoWPAN移动性、与之相关的挑战以及应对这些挑战的解决方案的完整调查。
Information Centric Networking based Handover Support for QoS Maintenance in Cooperative Heterogeneous Wireless Networks
信息网络（NetInf）是一个术语，用于描述不像现代网络那样以节点为中心的网络。顾名思义，信息取代了网络中的节点。在这份报告中，我们提出了一个架构的移动节点的NetInf。我们称之为NetInf Mobile Node。它是为NetInf提出的基本节点架构的扩展。它与基于NetInf和TCP/IP的网络兼容。该架构中的虚拟节点层模块提供对节点的移动性、功耗以及数据中继/存储服务的管理支持。内/外路由器构造路由器（I/O LCTR）是NetInf移动节点中引入的两个功能，用于在NetInf和非NetInf站点之间操作。NetInf移动节点的基本目的是在移动事件期间维持QoS。切换/移交是移动性期间的关键情况，其中正在进行的会话的QoS降级的机会很高。本报告提出了一个这样的情况下，在异构无线网络环境中切换的情况下，通过我们提出的算法，保持应用程序的QoS。
Machine learning (ML) is an important component for enabling automation in Radio Access Networks (RANs). The work on applying ML for RAN has been under development for many years and is now also drawing attention in 3GPP and Open-RAN standardization fora. A key component of multiple features, also highlighted in the recent 3GPP specification work, is the use of mobility, traffic and radio channel prediction. These types of predictions form the intelligence enablers to leverage the potentials for ML for RAN, both for current and future wireless networks. This paper provides an overview with eva…
The advancements in peer-to-peer wireless power transfer (P2P-WPT) have empowered the portable and mobile devices to wirelessly replenish their battery by directly interacting with other nearby devices. The existing works unrealistically assume the users to exchange energy with any of the users and at every such opportunity. However, due to the users' mobility, the inter-node meetings in such opportunistic mobile networks vary, and P2P energy exchange in such scenarios remains uncertain. Additionally, the social interests and interactions of the users influence their mobility as well as the en…
This paper considers the time evolution of a queue that is embedded in a Poisson point process of moving wireless interferers. The queue is driven by an external arrival process and is subject to a time-varying service process that is a function of the SINR that it sees. Static configurations of interferers result in an infinite queue workload with positive probability. In contrast, a generic stability condition is established for the queue in the case where interferers possess any non-zero mobility that results in displacements that are both independent across interferers and oblivious to int…
Singapore University of Technology and Design（新加坡科技设计大学）；Zhejiang University/University of Illinois at Urbana-Champaign Institute, Zhejiang University（浙江大学伊利诺伊大学厄巴纳-香槟校区联合学院，浙江大学）；Harbin Institute of Technology（哈尔滨工业大学）；University of Electronic Science and Technology of China（电子科技大学）；The University of Exeter（埃克塞特大学）
Implementing federated learning (FL) algorithms in wireless networks has garnered a wide range of attention. However, few works have considered the impact of user mobility on the learning performance. To fill this research gap, firstly, we develop a theoretical model to characterize the hierarchical federated learning (HFL) algorithm in wireless networks where the mobile users may roam across multiple edge access points, leading to incompletion of inconsistent FL training. Secondly, we provide the convergence analysis of HFL with user mobility. Our analysis proves that the learning performance…
