Mimo Architecture(米莫架构)研究综述
Mimo Architecture 米莫架构 - In addition, in order to further improve the performance of cell-free mMIMO, we also propose the ad-hoc enabled cell-free mMIMO architecture. [1] This paper presents the design and implementation of a universal Multi-Input Multi-Output (MIMO) power converter with many Linear Extendable Group Operated (LEGO) building blocks, namely LEGO-MIMO architecture. [2] Results show that a modest form of CPU interconnection can boost very significantly the max-min rate performance so prevalent in CF-M-MIMO architectures. [3] Built on the Diagonal Bell-Labs Layered Space-Time (D-BLAST) MIMO architecture, the system integrates three key design approaches: spatial spreading to counter antenna blockage; temporal spreading to mitigate signal to interference and noise ratio degradation due to interference; and a simple low rate feedback scheme to enable adaptivity in the absence of full transmitter CSI. [4]此外，为了进一步提高 cell-free mMIMO 的性能，我们还提出了 ad-hoc enable cell-free mMIMO 架构。 [1] 本文介绍了具有许多线性可扩展组操作 (LEGO) 构建块的通用多输入多输出 (MIMO) 电源转换器的设计和实现，即 LEGO-MIMO 架构。 [2] 结果表明，适度形式的 CPU 互连可以显着提高 CF-M-MIMO 架构中普遍存在的最大最小速率性能。 [3] 该系统基于 Diagonal Bell-Labs 分层空时 (D-BLAST) MIMO 架构，集成了三种关键设计方法：空间扩展以应对天线阻塞；时间扩展，以减轻由于干扰引起的信号干扰和噪声比下降；以及一个简单的低速率反馈方案，以在没有完整发射机 CSI 的情况下实现自适应。 [4]
cell free massive 无细胞大块
We study support for unmanned aerial vehicle (UAV) communications through a cell-free massive MIMO architecture. [1] In a cell-free massive MIMO architecture a very large number of distributed access points simultaneously and jointly serves a much smaller number of mobile stations; a variant of the cell-free technique is the user-centric approach, wherein each access point just serves a reduced set of mobile stations. [2] Grounded on prior work on sub-6-GHz cell-free massive MIMO architectures, a novel framework for cell-free mmWave massive MIMO systems is introduced that considers the use of low-complexity hybrid precoders/decoders while factors in the impact of using capacity-constrained fronthaul links. [3]我们研究通过无细胞大规模 MIMO 架构对无人机 (UAV) 通信的支持。 [1] 在无蜂窝大规模 MIMO 架构中，大量分布式接入点同时并共同服务于数量少得多的移动台；无蜂窝技术的一种变体是以用户为中心的方法，其中每个接入点仅服务于一组减少的移动台。 [2] nan [3]
Massive Mimo Architecture 大型 Mimo 架构
In the proposed fog massive MIMO architecture, the UEs implicitly associate themselves with the most convenient RRHs in a completely autonomous manner. [1] We study support for unmanned aerial vehicle (UAV) communications through a cell-free massive MIMO architecture. [2] In the massive MIMO architecture, each base station (BS) detects only the users from its own cell while treating inter-cell interference as noise. [3] In a cell-free massive MIMO architecture a very large number of distributed access points simultaneously and jointly serves a much smaller number of mobile stations; a variant of the cell-free technique is the user-centric approach, wherein each access point just serves a reduced set of mobile stations. [4] Grounded on prior work on sub-6-GHz cell-free massive MIMO architectures, a novel framework for cell-free mmWave massive MIMO systems is introduced that considers the use of low-complexity hybrid precoders/decoders while factors in the impact of using capacity-constrained fronthaul links. [5] This paper presents the potential mmWave massive MIMO architecture. [6] In this paper we review the existing Massive MIMO architectures typically used in trial scenarios. [7]在提出的雾大规模 MIMO 架构中，UE 以完全自主的方式将自己与最方便的 RRH 隐式关联。 [1] 我们研究通过无细胞大规模 MIMO 架构对无人机 (UAV) 通信的支持。 [2] nan [3] 在无蜂窝大规模 MIMO 架构中，大量分布式接入点同时并共同服务于数量少得多的移动台；无蜂窝技术的一种变体是以用户为中心的方法，其中每个接入点仅服务于一组减少的移动台。 [4] nan [5] nan [6] nan [7]
Hybrid Mimo Architecture 混合 Mimo 架构
Numerical simulations with different system configurations and parameters of the hardware impairments, show the effectiveness of the proposed dictionary learning algorithm for channel estimation at millimeter wave frequencies with hybrid MIMO architectures. [1] However, the number of supported users cannot be larger than the number of RF chains in hybrid MIMO architectures. [2] However, the analog feed network, comprising RF dividers, combiners, phase shifters, and line connections, of hybrid MIMO architectures is not scalable due to its prohibitively high power consumption for large numbers of transmit antennas. [3]具有不同系统配置和硬件损伤参数的数值模拟显示了所提出的字典学习算法在具有混合 MIMO 架构的毫米波频率下的信道估计的有效性。 [1] 但是，支持的用户数不能大于混合 MIMO 架构中的射频链数。 [2] nan [3]