Advanced Hybrid Analog-Digital Massive MIMO Techniques for Millimeter Wave Wireless Systems (AdAMMM)

用于毫米波无线系统的先进模拟数字混合大规模 MIMO 技术 (AdAMMM)

• 批准号: 402834619
• 负责人: Professor Dr.-Ing. Martin Haardt, since 2/2019
• 金额: --
• 依托单位: Fachgebiet Nachrichtentechnik (NT)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/402834619?language=en
• 关键词: Advanced; Hybrid; Analog; Digital; Massive

Compared to the scarce radio resources under 6 GHz, large available portions of spectrum at millimeter wave (mmWave) frequencies have a great potential to satisfy versatile and critical demands of next generation wireless communication systems. However, mmWave signals suffer an orders-of-magnitude larger path loss and have a higher probability of blockage due to the pencil-like beamwidth. These drawbacks can be compensated by using a large number of antennas at the transmitter and/or at the receiver, i.e., by using massive MIMO. One of the practical massive MIMO architectures, which is cost and energy efficient, is a hybrid analog-digital MIMO architecture. It can benefit from the use of both analog and digital processing. The analog parts are often realized using phase shift networks. This new hardware architecture imposes new constraints on MIMO processing algorithms and introduces novel signal processing challenges. Therefore, advanced hybrid analog-digital massive MIMO algorithms, which tackle these new challenges, will be a key enabler of mmWave wireless communications.The aim of this project is to study and to evaluate the potential of hybrid analog-digital massive MIMO techniques for future wideband mmWave wireless communications. Various aspects of hybrid MIMO aided mmWave wireless communications will be investigated and evaluated. This will be achieved by developing efficient hybrid MIMO precoding and decoding algorithms as well as channel estimation algorithms, and by deriving the corresponding information theoretic results. We will study the point-to-point scenario, multi-user MIMO scenarios and multi-user multi-cell scenarios taking into account time-varying or time-invariant frequency-selective channel models. To improve the coverage, hybrid MIMO two-way relaying techniques will be developed. The performance of hybrid MIMO architectures will also be compared to the competing massive MIMO architecture based on 1-bit analog-to-digital converters.

与6 GHz以下的稀缺无线电资源相比，毫米波（mmWave）频率处的频谱的大的可用部分具有满足下一代无线通信系统的多功能和关键需求的巨大潜力。然而，毫米波信号遭受更大数量级的路径损耗，并且由于类锯齿形波束宽度而具有更高的阻塞概率。这些缺点可以通过在发射机和/或接收机处使用大量天线来补偿，即，通过大规模MIMO。一种实用的大规模MIMO架构是混合模拟-数字MIMO架构，它是成本和能量有效的。它可以受益于模拟和数字处理的使用。模拟部分通常使用相移网络来实现。这种新的硬件架构对MIMO处理算法施加了新的约束，并引入了新的信号处理挑战。因此，先进的混合模拟-数字大规模MIMO算法，解决这些新的挑战，将是毫米波无线通信的关键使能者。本项目的目的是研究和评估混合模拟-数字大规模MIMO技术的潜力，为未来的宽带毫米波无线通信。将研究和评估混合MIMO辅助毫米波无线通信的各个方面。这将通过开发高效的混合MIMO预编码和解码算法以及信道估计算法，并通过推导相应的信息理论结果来实现。我们将研究点对点场景、多用户MIMO场景和多用户多小区场景，同时考虑时变或时不变的频率选择性信道模型。为了提高覆盖范围，将开发混合MIMO双向中继技术。混合MIMO架构的性能也将与基于1位模数转换器的竞争性大规模MIMO架构进行比较。