异构网络的出现

Gautam Srivastava
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引用次数: 0

摘要

第五代(5G)通信提供高速数据传输和低延迟,比以前的技术更好地服务于多种异构应用。这导致了异构网络(HetNets)的发展,通过将不同的信息和通信技术(ict)集成到一个视图中,为不同类别的用户提供更好的服务质量(QoS)[1]。在我们展望6G的同时,HetNets也有望看到5G及以后的通信方式得到更广泛的接受。5G HetNet场景的基本组件包括用户设备(UE)和增强节点B (eNB)。使用充当向内和向外数据交换网关的enb促进了ue之间的通信。用户设备在HetNet中分为微型或宏单元,而5G的集成通过设备对设备(D2D)功能支持分布式通信模式。在enb的支持下,该网络可以实现干扰消除、载波聚合、海量多输入多输出、协同传输等功能,满足不同应用和用户的QoS需求[2,3]。异构平台的互操作特性提供了对资源和UE通信的普遍和匿名访问。在这样一个普遍的访问场景中,由于D2D通信的中断,安全性成为一个主要问题[4]。未经授权的设备或攻击者关注交换的数据注入恶意或伪造的内容,改变其新鲜度和可靠性。因此,以身份验证为中心的解决方案设计用于数据安全以及完整性检查,以确保传输的数据在接收端交付[5]。在全球范围内,物联网(IoT)的数据安全和隐私一直是所有用户关注的问题。随着越来越多的人看到自己在移动设备上进行日常生活,他们也看到自己在开放渠道上分享个人信息。异构通信平台吸收了健壮的数据认证和高效的密钥管理,利用数据交换的安全级别来保护用户数据的安全性和隐私性。密钥管理和基于哈希的身份验证方法的设计复杂性较低,以减少基于计算和通信的开销,同时降低延迟,以支持5G环境的设计目标。因此,在服务和安全提供者的指导下,身份验证方法的适应性要求是双重的,即以用户为中心和以应用程序为中心。我们已经看到许多不同的领域融合在5G中提供强大的认证方法。这些往往包括人工智能,机器学习,深度学习,以及最近的区块链技术[6]。人工智能技术倾向于
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The Emergence of Heterogeneous Networks
Fifth generation (5G) communication provides high-speed data transfer and low latency, serving the better for multiple heterogeneous applications over previous technologies. This has led to the development of heterogeneous networks (HetNets) by integrating diverse information and communication technologies (ICTs) into a single view to provide better quality of service (QoS) for different classes of users [1]. HetNets are poised to see more widespread acceptance of a means of communication favored in 5G and beyond as we look to 6G as well. The fundamental components of a 5G HetNet scenario include the user equipment (UE) and enhanced node B (eNB). The communications between the UEs is facilitated using eNBs that act as a gateway for inward and outward data exchange. User equipment is classified under pico or macro cells in a HetNet whereas the integration of 5G supports distributed communication modes through device-to-device (D2D) features. Along with the support of eNBs, interference cancellation, carrier aggregation, massive multi-input multi-output, and coordinated transmissions are facilitated in this network to meet the QoS requirements of different applications and users [2, 3]. The interoperable nature of the heterogeneous platform provides pervasive and anonymous access to resources and UE communications. In such a pervasive access scenario, security becomes a prime concern due to the interruptions in D2D communications [4]. Unauthorized devices or adversaries focus on the exchanged data to inject malicious or falsified content, changing its freshness and reliability. Therefore, authenticationcentric solutions are designed for data security along with integrity checks to ensure transmitted data is delivered at the receiver end [5]. Globally, the data security and privacy of the Internet of Things (IoT) has been a concern to all users. As more and more individuals see themselves conducting their day-to-day livelihood on mobile devices, they also see themselves sharing personal information over open channels. Robust data authentication and efficient key management are assimilated in the heterogeneous communication platform for leveraging the security level of data exchange to preserve user data security and privacy. Key management and hash-based authentication methods are designedwith less complexity to reduce the computational and communication-based overheads, alongwith lower latency to support the design goal of 5G environments. Therefore, the adaptiveness of the authentication method is required to be two-fold, namely user-centric and application-centric, as guided by the service and security provider. We have seenmany different areas fuse to offer strong authenticationmethods in 5G. These tend to include Artificial Intelligence, Machine Learning, Deep Learning, and more recently, blockchain technology [6]. Artificial intelligence techniques tend to
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