Fundamentals Of 5g Communications Connectivity For Enhanced Mobile Broadband And Beyond Pdf

[Nakita Heitmann]

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Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.

Abstract: There has been a growing interconnection across the world owing to various multimedia applications and services. Fixed wireless access (FWA) is an attractive wireless solution for delivering multimedia services to different homes. With the fifth-generation (5G) and beyond mobile networks, the FWA performance can be enhanced significantly. However, their implementation will present different challenges on the transport network due to the incessant increase in the number of required cell-sites and the subsequent increase in the per-site requirements. This paper presents a comprehensive tutorial on the enabling technologies, design considerations, requirements, and prospects of broadband schemes. Furthermore, the related technical challenges of FWA are reviewed, and we proffer potential solutions to address them. Besides, we review various transport network options that can be employed for FWA deployment. In this regard, we offer an in-depth discussion on their related requirements for different use cases. Moreover, we give an insight into the 3GPP RAN functional split implementations and implications on the 5G FWA transport network solutions. The concepts of virtualized RANs for attending flexibly to the dynamic nature of different use cases are also presented. Keywords: 5G; 6G; beamforming; enhanced mobile broadband; radio access network; fixed wireless access; fronthaul; functional split; massive MIMO; millimeter wave; passive optical network; path-loss; transport network

All of the tutorials will be available for access on-demand through the conference virtual platform for those attendees with a Tutorial registration. Some of the tutorials will take place in-person in Madrid and some will be presented remotely but live. The list is below. Please note: This list is subject to change depending on how many people sign up for these tutorials in advance.

Abstract:

As 5G networks take their final form, connectivity demands continue to increase exponentially and new services pose more constraints on the performance that end-users expect. A recent technological breakthrough that holds the potential to meet these demands is that of reconfigurable intelligent surfaces. We believe that a tutorial on the principles and latest approaches of reconfigurable intelligent surfaces for beyond 5G wireless communications will be of great value for both academics and industry practitioners.

Abstract:

A user procures a Wireless Sensor Network (WSN) solution targeting a specific application such as surveilling a particular area, gathering raw data from an environment, and tracking a moving object. These networks become an intrinsic part of the Internet of Things (IoT) infrastructure. Typically, IoT infrastructure provides a unified platform to serve multiple distinct applications, simultaneously. The efficient management and utilization of sensors become crucial research issue in IoT. The sensor-cloud (SC) technological paradigm has gained popularity due to its unique features of provisioning Sensors-as-a-Service (Se-aaS) and efficiently managing an IoT infrastructure. Se-aaS facilitates the IoT platform to serve multiple applications concurrently and eliminates the single-user-centric usage of traditional sensor networks. In this tutorial, we deliver a comprehensive introduction of Sensors-as-a-Service (Se-aaS). Specifically, we first survey the basics of IoT and the usage of sensors in it. We then enumerate different critical issues -- virtual sensor formation, data caching, and pricing -- associated in designing an SC platform for provisioning Se-aaS. We target to discuss its economic aspects and highlight various pricing models. Finally, the tutorial concludes with a discussion of new research challenges, which can be investigated in the future.

This tutorial is intended for the attendees of IEEE ICC 2021 from academia, research organizations, and industries. We are confident that this tutorial will help researchers from academia and research organizations to explore the open research issues in Se-aaS. On the other hand, an industry participant will be trained how to set up an SC platform for provisioning Se-aaS.

Abstract:

Future wireless networks are expected to support a multitude of services. According to the International Telecommunication Union (ITU), 5G network services can be classified into three service scenarios: Enhanced Mobile Broadband (eMBB), Ultra-Reliable and Low-latency Communications (uRLLC), and massive Machine Type Communications (mMTC). Heterogeneous devices of different quality of service demands will require intelligent and flexible allocation of network resources in response to network dynamics. For instance, a highly reliable and low-latency network is needed to enable rapid transfer of messages between connected autonomous vehicles. At the same time, the same physical infrastructure is expected to serve users with high-quality video demand or even mobile Augmented/Virtual Reality entertainment applications. Next-generation wireless networks, i.e. 5G and the upcoming 6G, are expected to simultaneously accommodate diverse use cases. In particular, the heterogeneous traffic coming from mobile, vehicular, smart grid, and tactile domains calls for efficient utilization of network resources to maintain quality of service demands of each application. In addition, resource efficiency, reliability, and robustness are becoming more stringent for 5G and beyond networks. To meet this, 6G must incorporate a paradigm shift in network and radio resource optimization, in which efficient and intelligent resource management techniques have to be employed. In addition to all those new types of services and demands, wireless networks are at the cusp of a new paradigm with open virtualized architectures where softwarization of networks is helping to disaggregate network functions in the wireless domain and allowing for ultimate autonomy capabilities. Artificial intelligence (AI), or more specifically machine learning (ML) algorithms stand as promising tools to intelligently manage the networks such that network efficiency, reliability and robustness goals are achieved, quality of service demands are satisfied, network and computational resources are used most efficiently, and performance targets are achieved in a self-optimized manner. The opportunities that arise from learning the environment parameters under varying conditions, positions AI-enabled 5G and 6G superior to preceding generations of wireless networks. In addition to using AI for networks, the distributed nature of networks provides a natural environment for enhanced machine learning opportunities. This tutorial will begin with an introduction to 5G and beyond networks together with open radio access network (RAN) features and some fundamentals on ML. After summarizing the state-of-art in ML algorithms and their applications to (open) RAN, it will continue with a full-fledged treatment of clustering algorithms, reinforcement learning, deep learning and federated learning techniques. Finally, challenges and open issues will be discussed both in terms of AI algorithms and their applicability to various functions of future wireless networks. These discussions will be put into perspective considering the recent 5G NR Release 16 and the plans for 6G.

Abstract:

Drones--a.k.a. UAVs--are taking over many processes requiring efficient, automated, and flexible machines. For their whole ecosystem to take off, the wireless community is trying to discover the full potential of this new class of mobile devices in both 5G and the future 6G networks. Simultaneously, the cellular communications industry is taking one step upward to the sky: integrating satellite communications in next-generation mobile networks with the ultimate goal of providing anything, anytime, anywhere connectivity. In light of the unprecedented interest in this field, this one-of-a-kind tutorial blends our academic and industrial views to take a holistic approach to UAV and satellite cellular communications:

Abstract:

The arrival of Wi-Fi 6 in late 2019, which is based on IEEE 802.11ax, marked a giant leap forward in improving the capacity, efficiency, and coverage in most WLAN environments. While Wi-Fi 6 introduced various features to enhance the network performance and user experience of the high-dense deployment scenarios, emerging applications like 4K/8K video, AR/VR, industrial Internet of things (IoT), real-time collaborations demand more responsive connectivity. Meeting the most stringent requirements in throughput and latency in these scenarios is beyond the capabilities of Wi-Fi 6 and therefore motivates the development of a new Wi-Fi 7 generation. As a result, the IEEE 802.11 Task Group be has been formed to define Extreme High Throughput (EHT) PHY and MAC layers capable of supporting a maximum throughput of at least 30 Gbps, as well as reducing worst case latency and jitter to improve support for time sensitive applications. In this tutorial, our primary goal is to identify and describe the main PHY and MAC elements that will shape Wi-Fi 7, which will operate in the 2.4 GHz, 5 GHz, and 6 GHz bands. For each of the main features, including key PHY enhancements, multi-link operation (MLO), enhanced quality of service (QoS) management, and multiple access point (Multi-AP) coordination, we discuss how Wi-Fi 7 is designing the corresponding enabling mechanism and present performance results as appropriate. We will also talk about how Wi-Fi is extended to the 6 GHz band (e.g., Wi-Fi 6E), a spectrum that is being made available globally for unlicensed operation.

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