Mimo Base(咪咪基地)研究综述
Mimo Base 咪咪基地 - In this paper, we propose a carrier sensing based MAC protocol for a MU-MIMO based WLAN with full utilization of MU-MIMO technique. [1] Results reveal that MIMO based hybrid system significantly improves BER performance with approximately same PAPR compared to that of hybrid system. [2] In this paper, we have exploited the key technologies of the next generation communication systems which are cognitive radio (CR), non-orthogonal multiple access (NOMA) and multiple-input-multiple-output (MIMO) and have proposed a framework of simultaneous use of these technologies for the spectral efficient design, named as MIMO based CR-NOMA communication systems. [3] To overcome the above problems, in this paper we propose heterogeneous statistical-QoS driven resource allocation policies for mmWave m-MIMO based 5G wireless networks in both asymptotic and non-asymptotic regimes. [4] In this paper, we develop a comparison between MIMO over multimode fiber (MMF) using MGDM and MIMO based FSO links. [5] In this paper, we study the computation task offloading and resource allocation optimization in MIMO based mobile edge computing systems considering perfect/imperfect-CSI estimation. [6] MIMO based antenna has been proposed for diversity reception along with compact size and futuristic aesthetic design. [7] Typical massive MU-MIMO base-station (BS) designs rely on centralized linear data detectors and precoders which entail excessively high complexity, interconnect data rates, and chip input/output (I/O) bandwidth when executed on a single computing fabric. [8] Using the FPGA implementation on the SIMO channel, the design can be extended to the hardware of spatially modulated hyper-MIMO based 5th generation networks. [9]在本文中，我们提出了一种基于载波侦听的 MAC 协议，用于充分利用 MU-MIMO 技术的基于 MU-MIMO 的 WLAN。 [1] 结果表明，与混合系统相比，基于 MIMO 的混合系统在 PAPR 大致相同的情况下显着提高了 BER 性能。 [2] 在本文中，我们利用了下一代通信系统的关键技术，即认知无线电（CR）、非正交多址（NOMA）和多输入多输出（MIMO），并提出了一个同时通信的框架。使用这些技术进行频谱高效设计，称为基于 MIMO 的 CR-NOMA 通信系统。 [3] 为了克服上述问题，在本文中，我们提出了基于 mmWave m-MIMO 的 5G 无线网络在渐近和非渐近状态下的异构统计 QoS 驱动的资源分配策略。 [4] 在本文中，我们对使用 MGDM 的多模光纤 (MMF) 和基于 MIMO 的 FSO 链路进行了比较。 [5] 在本文中，我们研究了考虑完美/不完美-CSI估计的基于MIMO的移动边缘计算系统中的计算任务卸载和资源分配优化。 [6] 基于 MIMO 的天线已被提出用于分集接收以及紧凑的尺寸和未来主义的美学设计。 [7] 典型的大规模 MU-MIMO 基站 (BS) 设计依赖于集中式线性数据检测器和预编码器，当在单个计算结构上执行时，这需要极高的复杂性、互连数据速率和芯片输入/输出 (I/O) 带宽。 [8] 使用 SIMO 通道上的 FPGA 实现，该设计可以扩展到基于空间调制超 MIMO 的第 5 代网络的硬件。 [9]
attractive features make
These attractive features make this array an ideal candidate for further 5G massive MIMO base station antenna developments. [1] These attractive features make this array an ideal candidate for future 5G massive MIMO base station antenna developments. [2] These attractive features make this array an ideal candidate for further 5G massive MIMO base station antenna developments. [3]这些吸引人的特性使该阵列成为进一步 5G 大规模 MIMO 基站天线开发的理想选择。 [1] 这些吸引人的特性使该阵列成为未来 5G 大规模 MIMO 基站天线开发的理想选择。 [2] nan [3]
Massive Mimo Base 大型 Mimo 基地
To this end, we investigate the rate performance of a system employing multi-user NOMA and massive MIMO base stations distributed under a Poisson process. [1] In the coherence interval based pilot setting, by extensive system level simulations, we find that using a Massive MIMO base station with 128 antennas and MMSE receiver, URLLC requirements can be achieved in Urban Macro (UMa) Non-Line of Sight (NLoS) with orthogonal pilots and Neyman-Pearson detector. [2] In this paper, we develop and evaluate compressed representations of the channels between a massive MIMO base station and user terminals that can serve as attractive proxies in the context of various applications of interest. [3] Mobile phone operators have begun the roll-out of 5G networks, deploying massive MIMO base stations. [4] Current extrapolation procedures for the assessment of theoretical maximum RF-EMF exposure to 5G massive MIMO base stations consider the antenna gain difference between SSB and traffic beams. [5] In the proposed approach, the fingerprints rely solely on the RSS from the single-antenna MT collected at each of the receive antenna elements of the massive MIMO base station. [6] In Massive MIMO base stations (BSs), the hardware design needs to balance high spectral efficiency (SE) with low complexity. [7] The spatial spectrum of the incoherent narrowband uplink pilot signal on each frequency bin received at the distributed massive MIMO base stations (BSs) is used for spectrum fusion. [8] Massive MIMO base stations are expensive to build due to the requirement for a large number of RF transceivers and high-resolution analog-to-digital converters. [9] This paper proposes a circularly polarized 1 × 4 antenna array with improved Isolation for Massive MIMO Base Station application. [10] Aiming the implementation of green Cell-Free massive MIMO system based on radio stripe, we propose Random AP Switch ON/OFF(RAPSO) framework for switching off APs in Cell-Free massive MIMO based on radio stripe. [11] We first show that the performance of massive MIMO based grant-free random access is mainly decided by the probability of preamble collision. [12] The measurements were conducted using a massive MIMO base station (BS) testbed and virtual arrays of receivers, positioned with a robotic system. [13] In this paper, we study the problem of user为此，我们研究了采用泊松过程分布的多用户 NOMA 和大规模 MIMO 基站的系统的速率性能。 [1] 在基于相干间隔的导频设置中，通过广泛的系统级仿真，我们发现使用具有 128 根天线和 MMSE 接收器的大规模 MIMO 基站，可以在城市宏 (UMa) 非视距 (NLoS) 中实现 URLLC 要求正交导频和 Neyman-Pearson 检测器。 [2] nan [3] nan [4] nan [5] nan [6] nan [7] nan [8] nan [9] nan [10] nan [11] nan [12] nan [13] nan [14] 在本文中，我们分析了针对大量用户和大规模 MIMO 基站的量化迫零预编码系统的能效。 [15] 在5G无线通信系统的移动终端和Massive MIMO基站中都能找到很好的应用场景。 [16] nan [17] nan [18] nan [19] 这些吸引人的特性使该阵列成为进一步 5G 大规模 MIMO 基站天线开发的理想选择。 [20] 这些吸引人的特性使该阵列成为未来 5G 大规模 MIMO 基站天线开发的理想选择。 [21] nan [22] nan [23] nan [24] nan [25] nan [26] nan [27] nan [28] nan [29] nan [30] nan [31] nan [32] nan [33] nan [34] nan [35] nan [36] nan [37] nan [38] nan [39] nan [40] nan [41]
mimo base station 咪咪基站
, disabling some of the antennas installed at a 5G MMIMO Base Station (BS) when there are few User Equipments (UEs) within the cell area. [1] To this end, we investigate the rate performance of a system employing multi-user NOMA and massive MIMO base stations distributed under a Poisson process. [2] In the coherence interval based pilot setting, by extensive system level simulations, we find that using a Massive MIMO base station with 128 antennas and MMSE receiver, URLLC requirements can be achieved in Urban Macro (UMa) Non-Line of Sight (NLoS) with orthogonal pilots and Neyman-Pearson detector. [3] In this paper, we develop and evaluate compressed representations of the channels between a massive MIMO base station and user terminals that can serve as attractive proxies in the context of various applications of interest. [4] Mobile phone operators have begun the roll-out of 5G networks, deploying massive MIMO base stations. [5] Current extrapolation procedures for the assessment of theoretical maximum RF-EMF exposure to 5G massive MIMO base stations consider the antenna gain difference between SSB and traffic beams. [6] In the proposed approach, the fingerprints rely solely on the RSS from the single-antenna MT collected at each of the receive antenna elements of the massive MIMO base station. [7] In Massive MIMO base stations (BSs), the hardware design needs to balance high spectral efficiency (SE) with low complexity. [8] The spatial spectrum of the incoherent narrowband uplink pilot signal on each frequency bin received at the distributed massive MIMO base stations (BSs) is used for spectrum fusion. [9] Massive MIMO base stations are expensive to build due to the requirement for a large number of RF transceivers and high-resolution analog-to-digital converters. [10] This paper proposes a circularly polarized 1 × 4 antenna array with improved Isolation for Massive MIMO Base Station application. [11] The roll-out of the 5G standard with novel functionalities brings with it the urgent need to evaluate the human exposure to massive-MIMO base stations. [12] An electromagnetic transparent antenna element is proposed for dual-band shared-aperture fifth-generation (5G) MIMO base station antenna array developments. [13] The measurements were conducted using a massive MIMO base station (BS) testbed and virtual arrays of receivers, positioned with a robotic system. [14] In this paper, we study the problem of user，当小区区域内的用户设备 (UE) 很少时，禁用安装在 5G MMIMO 基站 (BS) 上的一些天线。 [1] 为此，我们研究了采用泊松过程分布的多用户 NOMA 和大规模 MIMO 基站的系统的速率性能。 [2] 在基于相干间隔的导频设置中，通过广泛的系统级仿真，我们发现使用具有 128 根天线和 MMSE 接收器的大规模 MIMO 基站，可以在城市宏 (UMa) 非视距 (NLoS) 中实现 URLLC 要求正交导频和 Neyman-Pearson 检测器。 [3] nan [4] nan [5] nan [6] nan [7] nan [8] nan [9] nan [10] nan [11] nan [12] nan [13] nan [14] nan [15] nan [16] 在本文中，我们分析了针对大量用户和大规模 MIMO 基站的量化迫零预编码系统的能效。 [17] 我们考虑毫米波 (mmWave) 大规模 MIMO 基站 (BS) 的单用户 (SU) 和多用户 (MU) 接收模式。 [18] 在5G无线通信系统的移动终端和Massive MIMO基站中都能找到很好的应用场景。 [19] nan [20] nan [21] 这些吸引人的特性使该阵列成为进一步 5G 大规模 MIMO 基站天线开发的理想选择。 [22] 这些吸引人的特性使该阵列成为未来 5G 大规模 MIMO 基站天线开发的理想选择。 [23] nan [24] nan [25] nan [26] nan [27] nan [28] nan [29] nan [30] nan [31] nan [32] 在这项研究中，我们将所提出的天线作为 MIMO 基站天线进行了评估，并在两种不同的传播场景中对其进行了表征。 [33] nan [34] 我们研究了雷达和通信共存中的干扰信道估计，其中多输入多输出 (MIMO) 雷达以“搜索和跟踪”模式运行，MIMO 基站 (BS) 试图获取干扰它们之间的信道状态信息（ICSI），这是预编码设计所必需的。 [35] nan [36] Femtocell基站向MIMO基站频谱管理器竞标具有定价价值的信道，并且频谱管理器根据最大定价值将频谱分配给femtocell基站。 [37] nan [38] nan [39]