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Technologies for 5G Wireless Systems: Software-defined Networks, massive MIMO, and full Duplexing

Technologies for 5G Wireless Systems: Software-defined Networks, massive MIMO, and full Duplexing
5G 无线系统技术:软件定义网络、大规模 MIMO 和全双工
批准号:
463338-2014
负责人:
Wong, Vincent
金额:
$12.93万
依托单位国家:
加拿大
项目类别:
Strategic Projects - Group
财政年份:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31

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中文摘要
翻译
移动设备(如智能手机、平板电脑)已经成为我们日常生活中的一种商品。虽然这些设备已经支持许多不同类型的应用,但由于实时和流视频流量以及机器对机器应用,预计移动数据流量需求将持续增长。为了满足未来无线系统,特别是第五代(5G)无线蜂窝系统的这些需求,需要从根本上改进这些系统的通信和网络数据,以实现经济高效的网络运营。在网络基础设施方面,软件定义网络(sdn)将发挥重要作用。SDN能够在异构网络中高效支持虚拟化、模块化设计和网络共享。在网元方面,全双工和大规模多输入多输出(MIMO)等新使能技术有望显著提高未来5G无线系统的频谱效率。全双工的吞吐量增益是通过新颖的自干扰消除技术实现的,而大规模MIMO建立在部署在基站的大规模天线阵列上。该项目的总体目标是推进SDN、大规模MIMO和全双工技术,并为自适应、可扩展和强大的5G无线移动通信网络的发展做出贡献。为了实现这一目标,我们汇集了来自英属哥伦比亚大学(UBC)和几家加拿大公司的优秀研究人员,他们对这个项目的成果非常感兴趣。我们将:(a)在基于sdn的5G无线系统中开发跨异构网络设置的新型网络共享、干扰管理和动态资源分配方案;(b)设计新颖的联合移动管理和负载平衡算法,以更好地利用网络资源,提高系统性能;(c)开发全双工无线电算法,以实现5G系统中的高效频谱共享;(d)设计实用的大规模MIMO算法,以可扩展的方式增加网络容量。拟议项目的成果将是5G无线通信系统的新算法和电路实现。
英文摘要
Mobile devices (e.g., smartphones, tablets) have become a commodity in our daily lives. While these devices already support many different types of applications, it is expected that there will be a continual increase in mobile data traffic demand due to real-time and streaming video traffic, as well as machine-to-machine applications. Meeting these demands with future wireless systems, in particular the fifth generation (5G) wireless cellular systems, requires fundamental improvements to how these systems communicate and network data for cost-efficient network operation. In the network infrastructure side, software-defined networks (SDNs) will play an important role. SDN can efficiently support virtualization, modular design, and network sharing in heterogeneous networks. In the network elements side, new enabling techniques such as full duplexing and massive multi-input multi-output (MIMO) are expected to significantly improve spectral efficiency in the future 5G wireless systems. The throughput gain in full duplexing is achieved via novel self-interference cancellation techniques, while massive MIMO builds on large-scale antenna arrays deployed at base stations. The overall goal of this project is to advance SDN, massive MIMO and full duplex technologies and to contribute to the development of adaptive scalable, and robust 5G wireless mobile communication networks. To achieve this goal, we have assembled a team of outstanding researchers from the University of British Columbia (UBC) and several Canadian companies with a keen interest in the results of this project. We will: (a) develop novel network sharing, interference management, and dynamic resource allocation schemes across heterogeneous network setting in an SDN-based 5G wireless system; (b) design novel joint mobility management and load balancing algorithms to better utilize the network resources and improve system performance; (c) develop full duplex radio algorithms for efficient spectrum sharing in 5G systems; (d) design practical massive MIMO algorithms to increase network capacity in a scalable manner. The outcomes of the proposed project will be novel algorithms and circuit implementations for 5G wireless communication systems.
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AI-based Joint Sensing, Communications, and Control for 6G Wireless Networks
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