Maximum Spectral Efficiency Through Parallelized Multiple-Input-Multiple-Output (MIMO) Transmission Using High-Resolution 3D Antenna Topologies
Maximum Spectral Efficiency Through Parallelized Multiple-Input-Multiple-Output (MIMO) Transmission Using High-Resolution 3D Antenna Topologies
批准号:
237418843
负责人:
Professor Dr.-Ing. Gerhard P. Fettweis
金额:
$0.0万
依托单位国家:
德国
项目类别:
Priority Programmes
财政年份:
2013
资助国家:
德国
项目状态:
已结题
起止时间:
2012-12-31 至 2018-12-31
中文摘要
随着移动的数据业务的快速增长和进一步的网络致密化,具有可行的实际形状因子的高效且灵活的无线前/回程终端的设计对于提供例如5G网络所需的高数据速率、低延迟和低能耗是必不可少的。MaximumMIMO研究项目的第一阶段主要关注基于高度并行化系统架构和多单元天线阵列的高吞吐量毫米波视距MIMO系统。提出了一种基于空间复用和波束赋形增益的分层MIMO收发器结构,并推导了确定性LoS信道下的最优天线布置。我们的调查表明,所提出的无线回程解决方案的实际可行性,能够实现100 Gb/s及以上的吞吐量与高能源效率的点对点链路。为了实现甚至更高的吞吐量并支持回程网络内的多个终端,需要开发用于多径和多方向场景的3D MIMO系统。出现了一些相关的科学挑战,可以被视为项目第一阶段所做研究工作的自然延伸。在maximumMIMO的第二阶段中考虑的方法采用两个方向,即具有多径的mmWave 3D MIMO和点对多点mmWave LoS MIMO,以获得更高的吞吐量和效率。申请人在第二阶段考虑的目标系统参数与欧洲5G网络计划中定义的关键性能指标保持一致。与第一阶段相比,第一阶段依赖于点对点LoS MIMO链路的最佳天线布置,第二阶段侧重于具有多个确定性路径的基于毫米波的通信,通过3D MIMO布置支持来自多个方向的多个终端。研究课题将涵盖可重构3D MIMO天线拓扑结构、具有低复杂度混合信号处理的收发器架构、宽带以及稀疏信道估计、毫米波频段的均衡和信道特性、同步和RF损伤减轻技术、低分辨率量化和功耗的系统设计、基于自适应波束成形的用户检测和调度方案、以及用于高带宽和低延迟的多用户3D MIMO基带架构。所提出的概念的验证将使用一个定制的MIMO硬件演示设置在一个现实的环境。maximumMIMO项目的第二阶段涉及DFG优先计划SPP 1655的几个研究主题,即:实现100 Gb/s及以上吞吐量的系统架构,低复杂度高能效的混合信号处理,高带宽的基带处理算法,以及组合PHY/MAC协议设计。
英文摘要
With the rapid increase of mobile data traffic and further network densification, the design of efficient and flexible wireless front-/backhaul terminals with a feasible practical form factor is essential for providing high data rates, low latency and low energy consumption as e.g. required by 5G networks. The first phase of the research project maximumMIMO is focused on mmWave line-of-sight MIMO systems with high throughput based on highly parallelized system architectures and many-element antenna arrays. A hierarchical MIMO transceiver architecture relying on spatial multiplexing and beamforming gain is proposed and the optimal antenna arrangements are derived for deterministic LoS channels. Our investigations have shown the practical feasibility of the proposed wireless backhaul solutions that are capable of achieving throughput of 100 Gb/s and beyond with high energy efficiency in point-to-point links. In order to achieve even higher throughputs and to support multiple terminals inside the backhaul networks, the development of 3D MIMO systems for multipath and multi-directional scenarios is required. A number of related scientific challenges arise that can be considered as a natural extension to the research work done in the first project phase. The approach considered in the second phase of maximumMIMO takes two directions, namely mmWave 3D MIMO with multipath and point-to-multipoint mmWave LoS MIMO for higher throughput and efficiency. The target system parameters considered by the applicants in the second phase are well aligned to the key performance indicators defined in the European 5G networks initiative. In contrast to the first phase that relies on optimally arranged antennas for point-to-point LoS MIMO links, the second phase focuses on mmWave-based communications with multiple deterministic paths, supporting multiple terminals from multiple directions with 3D MIMO arrangements. The research topics will cover reconfigurable 3D MIMO antenna topologies, transceiver architectures with hybrid signal processing of low complexity, broadband as well as sparse channel estimation, equalization and channel characterization at mmWave bands, synchronization and RF impairment mitigation techniques, system design for low resolution quantization and power consumption, adaptive beamforming-based user detection and scheduling schemes, and multi-user 3D MIMO baseband architectures for high bandwidths and low latency. The validation of the proposed concepts will be performed using a custom built MIMO hardware demonstrator setup in a realistic environment. The second phase of the project maximumMIMO addresses several research topics of interest of the DFG priority program SPP1655, namely: system architectures achieving throughput of 100 Gb/s and beyond, hybrid signal processing for high energy efficiency with low complexity, baseband processing algorithms for high bandwidths, as well as combined PHY/MAC protocol design.
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