IPOSEE: Intelligent and Proactive Optimisation for Service-centric Wireless Networks (UoS joint proposal lead partner)

IPOSEE:以服务为中心的无线网络的智能和主动优化(UoS 联合提案牵头合作伙伴)

基本信息

  • 批准号:
    EP/X038971/1
  • 负责人:
  • 金额:
    $ 26.77万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2023
  • 资助国家:
    英国
  • 起止时间:
    2023 至 无数据
  • 项目状态:
    未结题

项目摘要

Wireless networks have become indispensable to citizens, enterprises and vertical industries, e.g., transport (including autonomous vehicles and drones), logistics, utilities and manufacturing, because wireless connectivity is essential to the digital transformation of industrial and business processes and customer experiences. As a result, wireless networks are facing increasingly diverse service requirements, which indicate that existing reactive network management will be insufficient, while intelligent and proactive control of service-centric networks becomes essential. Future intelligent wireless networks rely on several multidisciplinary breakthroughs: (i) Artificial Intelligence (AI) algorithms that can accurately predict spatial-temporal patterns of service demand and thereby drive proactive optimisation of wireless networks, (ii) reconfigurable radio access networks (RAN) and wireless environments, and (iii) automated wireless service provisioning with reduced cost, improved performance and greater reliability. Current research to automate the optimisation of service-centric wireless networks using data-driven AI is facing many open challenges that need to be urgently addressed. In this project, we will take advantage of growing data availability and advanced data science technologies, as well as AI algorithms and techniques to deliver the above identified multidisciplinary breakthroughs, thereby enabling reliable automated wireless service provisioning.
无线网络已经成为公民、企业和垂直行业(例如,运输(包括自动驾驶汽车和无人机)、物流、公用事业和制造业,因为无线连接对于工业和业务流程以及客户体验的数字化转型至关重要。因此,无线网络正面临着日益多样化的服务需求,这表明现有的反应式网络管理将是不够的,而智能和主动控制的服务为中心的网络变得至关重要。未来的智能无线网络依赖于几个多学科的突破:(i)人工智能(AI)算法,可以准确预测服务需求的时空模式,从而推动无线网络的主动优化,(ii)可重新配置的无线电接入网络(RAN)和无线环境,以及(iii)自动化的无线服务提供,降低成本,提高性能和更高的可靠性。目前使用数据驱动的人工智能自动优化以服务为中心的无线网络的研究面临着许多亟待解决的挑战。在这个项目中,我们将利用不断增长的数据可用性和先进的数据科学技术,以及人工智能算法和技术来实现上述多学科突破,从而实现可靠的自动化无线服务提供。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
On the Performance of an Integrated Communication and Localization System: An Analytical Framework
综合通信和定位系统的性能:分析框架
Performance Analysis for Ambient Backscatter Communications With Hybrid Long-Short Packets
  • DOI:
    10.1109/lwc.2024.3369067
  • 发表时间:
    2024-05
  • 期刊:
  • 影响因子:
    6.3
  • 作者:
    Jiayao Shi;Liqin Shi;Yinghui Ye;Yuzhi Zhang;Xiaoli Chu
  • 通讯作者:
    Jiayao Shi;Liqin Shi;Yinghui Ye;Yuzhi Zhang;Xiaoli Chu
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Xiaoli Chu其他文献

On the Fairness of the Coexisting LTE-U and WiFi Networks Sharing Multiple Unlicensed Channels
LTE-U与WiFi共存网络共享多个非授权信道的公平性研究
  • DOI:
    10.1109/tvt.2020.3030844
  • 发表时间:
    2020-10
  • 期刊:
  • 影响因子:
    6.8
  • 作者:
    Haonan Hu;Yuan Gao;Jiliang Zhang;Xiaoli Chu;Qianbin Chen;Jie Zhang
  • 通讯作者:
    Jie Zhang
The optimal treatment alternatives selection of integrated TCM and Western medicine based on dynamic conflict group decision-making models
基于动态冲突群体决策模型的中西医结合最佳治疗方案选择
  • DOI:
    10.1016/j.knosys.2021.107674
  • 发表时间:
    2021-11
  • 期刊:
  • 影响因子:
    8.8
  • 作者:
    Xiaoli Chu;Bingzhen Sun;Xiaodong Chu;Yan Zhang;Heng Weng;Qingchun Huang
  • 通讯作者:
    Qingchun Huang
Design, Control and Implementation of a Powered Prosthetic Leg
动力假肢的设计、控制和实现
Data fusion of near infrared, Fourier Transform infrared and Raman spectroscopy for quantifying the conversion of Poly Alpha Oil (PAO)
  • DOI:
    10.1016/j.fuel.2024.131420
  • 发表时间:
    2024-06-15
  • 期刊:
  • 影响因子:
  • 作者:
    Jiawei Dai;Pu Chen;Xiaoli Chu;Bing Xu;Shuo Su
  • 通讯作者:
    Shuo Su
Heterogeneous Cellular Networks: Acronyms
异构蜂窝网络:首字母缩略词
  • DOI:
    10.1017/cbo9781139149709.003
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiaoli Chu;D. López;Yang Yang;F. Gunnarsson
  • 通讯作者:
    F. Gunnarsson

Xiaoli Chu的其他文献

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{{ truncateString('Xiaoli Chu', 18)}}的其他基金

ABCUnloc: Acoustic Backscatter Communication-based Underwater Localization
ABCUnloc:基于声学反向散射通信的水下定位
  • 批准号:
    EP/X021211/1
  • 财政年份:
    2022
  • 资助金额:
    $ 26.77万
  • 项目类别:
    Fellowship
OFDMA Downlink Resource Allocation in User-Deployed Femtocells
用户部署 Femtocell 中的 OFDMA 下行链路资源分配
  • 批准号:
    EP/H020268/1
  • 财政年份:
    2010
  • 资助金额:
    $ 26.77万
  • 项目类别:
    Research Grant

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Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
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