Resource Orchestration for Diverse Radio Systems (REORDER)

多种无线电系统的资源编排（REORDER）

• 批准号: EP/S02476X/1
• 负责人: Lei Zhang
• 金额: $ 29.75万
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FS02476X%2F1
• 关键词: Resource; Orchestration; Diverse; Radio; Systems

Future wireless communication networks are expected to address unprecedented challenges to cope with a high degree of heterogeneity in terms of devices, deployment types, environments, carrier frequency, etc. Moreover, they are expected to provide orders of magnitude improvement to such heterogeneous networks in key technical requirements including throughput, number of connected devices, latency and reliability. With such diverse services and diverging requirements, it is cumbersome to design a unified all-in-one radio system to meet the technical needs for all types of services. In addition, designing separate systems that run on separate infrastructures make the operation and management of the system highly complex, expensive and spirally inefficient. The scope of the project is to establish a radio ecosystem on a common infrastructure that efficiently accommodates communication services for all vertical sections from manufacturing, entertainment, public safety, public transport, healthcare, financial services, automotive and energy utilities. This can be enabled by an algorithmic framework orchestrating all radio slices that are individually customised and optimally designed. Network slicing is an overarching feature towards 5G-and-beyond to support all scenarios efficiently. Core network slicing has attracted much attention through network functions virtualisation. However, from the radio level, an algorithmic framework for spectrum- and cost-efficient air-interface to achieve the true potential of end-to-end network slicing for the future diverse radio systems is still an open problem yet to be solved. To guarantee the required performance for each individual user case efficiently, the physical layer (PHY) configurations should be delicately optimised and medium access control layer (MAC) radio resource should be allocated on-demand. For instance, subcarrier spacing is one of the paramount importance parameters for modern multicarrier communication systems (e.g., LTE, WiFi, etc.), the service for future massive machine type communications (mMTC) might require smaller subcarrier spacing (thus larger symbol duration) to support massive delay-tolerant devices. While vehicle to vehicle (V2V) communications, on the other hand, have more stringent latency requirements, thus, symbol duration should be significantly reduced compared to mMTC. However, cohabitation of the individually optimised services in one system may bring several technical challenges from both PHY and MAC. It will destroy the system orthogonality and PHY algorithm framework that the state-of-the-art telecommunication systems built on. From the resource allocation perspective, one of the challenges is that not only the multi-slice system forests a complex multiple layers resource structure, but also technical requirement of each slice can be significantly different. Thus, a cross-layer and cross-slice optimisation is envisioned to maximise the overall air-inference performance. The aim of REORDER is to address the abovementioned challenges, by establishing the framework of air-interface heterogeneous signal orchestration and efficient resource allocation. The proposed work fills in the last piece of the puzzle for realistic and efficient end-to-end network slicing. From this sense, REORDER will "reorder" the radio resource allocation caused by slice configuration disorders. The project will be undertaken in the Communication, Sensing and Imaging research group (CSI) in the University of Glasgow, by the PI, a PDRA and a PhD student based at the University of Glasgow. Our industrial partners include NEC Telecom MODUS (UK), Mathworks Research Centre Glasgow, and VIAVI Solutions (UK). The radical approaches proposed in this project will be verified though both state-of-the-art standard compatible system-level simulation and software defined radio (SDR) based over-the-air experimentations.

未来的无线通信网络预计将解决前所未有的挑战，以科普设备，部署类型，环境，载波频率等方面的高度异构性。此外，预计它们将在关键技术要求（包括吞吐量，连接设备的数量，延迟和可靠性）方面为此类异构网络提供数量级的改进。由于业务的多样性和需求的差异，设计一个统一的一体化无线电系统来满足所有类型业务的技术需求是很麻烦的。此外，设计在单独的基础设施上运行的单独的系统使得系统的操作和管理高度复杂、昂贵且低效。该项目的范围是在通用基础设施上建立一个无线电生态系统，有效地为制造、娱乐、公共安全、公共交通、医疗保健、金融服务、汽车和能源公用事业等所有垂直部门提供通信服务。这可以通过一个算法框架来实现，该框架协调了所有单独定制和优化设计的无线电切片。 网络切片是面向5G及更高版本的首要功能，可有效支持所有场景。核心网切片通过网络功能虚拟化备受关注。然而，从无线电层面来看，用于频谱和成本有效的空中接口的算法框架，以实现未来多样化无线电系统的端到端网络切片的真正潜力，仍然是一个有待解决的开放问题。为了有效地保证每个单独用户情况所需的性能，物理层（PHY）配置应该被精细地优化，并且媒体访问控制层（MAC）无线电资源应该按需分配。例如，子载波间隔是现代多载波通信系统（例如，LTE、WiFi等），用于未来大规模机器类型通信（mMTC）的服务可能需要更小的子载波间隔（因此更大的符号持续时间）来支持大规模延迟容忍设备。而另一方面，车辆到车辆（V2V）通信具有更严格的延迟要求，因此，与mMTC相比，符号持续时间应当显著减少。然而，在一个系统中单独优化的服务的共存可能带来来自PHY和MAC两者的若干技术挑战。从资源分配的角度来看，多切片系统面临的挑战之一是，不仅需要构建复杂的多层资源结构，而且每个切片的技术要求可能会有很大的不同。因此，设想跨层和跨切片优化以最大化整体空中干扰性能。REORDER的目标是通过建立空中接口异构信号编排和有效资源分配的框架来解决上述挑战。所提出的工作填补了现实和有效的端到端网络切片的最后一块拼图。从这个意义上说，REORDER将对由切片配置紊乱引起的无线电资源分配进行“重新排序”。该项目将在格拉斯哥大学的通信、传感和成像研究组（CSI）中进行，由PI、PDRA和格拉斯哥大学的博士生进行。我们的行业合作伙伴包括NEC Telecom MODUS（英国）、Mathworks Research Centre格拉斯哥和VIAVI Solutions（英国）。本项目中提出的激进方法将通过最先进的标准兼容系统级仿真和基于软件定义无线电（SDR）的空中实验进行验证。

项目成果

Optimizing Resource Allocation in URLLC for Real-Time Wireless Control Systems

优化实时无线控制系统 URLLC 中的资源分配

• DOI: 10.1109/tvt.2019.2930153
• 发表时间: 2019-09-01
• 期刊: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
• 影响因子: 6.8
• 作者: Chang, Bo;Zhang, Lei;Chen, Zhi
• 通讯作者: Chen, Zhi

Index Modulation Assisted DCT-OFDM with Enhanced Transceiver Design

• DOI: 10.1109/icc.2019.8761474
• 发表时间: 2019-05
• 期刊: ICC 2019 - 2019 IEEE International Conference on Communications (ICC)
• 作者: Chang He;Aijun Cao;Lixia Xiao;Lei Zhang;P. Xiao;K. Nikitopoulos

PAPR Reduction Using Iterative Clipping/Filtering and ADMM Approaches for OFDM-Based Mixed-Numerology Systems

使用迭代限幅/滤波和 ADMM 方法降低基于 OFDM 的混合数字参数系统的 PAPR

• DOI: 10.1109/twc.2020.2966600
• 发表时间: 2019-11
• 期刊: IEEE Transactions on Wireless Communications
• 影响因子: 10.4
• 作者: Liu Xiaoran;Zhang Xiaoying;Zhang Lei;Xiao Pei;Wei Jibo;Zhang Haijun;Leung Victor C. M.
• 通讯作者: Leung Victor C. M.

Direct Acyclic Graph based Ledger for Internet of Things: Performance and Security Analysis

基于直接无环图的物联网账本：性能和安全性分析

• DOI: 10.48550/arxiv.1905.10925
• 发表时间: 2019
• 作者: Li Y

Direct Acyclic Graph-Based Ledger for Internet of Things: Performance and Security Analysis

基于直接非循环图的物联网账本：性能和安全性分析

• DOI: 10.1109/tnet.2020.2991994
• 发表时间: 2020
• 期刊: IEEE/ACM Transactions on Networking
• 作者: Li Yixin;Cao Bin;Peng Mugen;Zhang Long;Zhang Lei;Feng Daquan;Yu Jihong
• 通讯作者: Yu Jihong