3gpp信道模型代码，加入Mimo，多径等-3GPP channel model code, adding Mimo, multipath, etc.
上传时间： 2015-06-16
上传用户：whtiger
该书籍的光盘，里面是书籍中各个章节对应的 程序，而且有注释哟，非常全面
标签： 《Mimo-OFDM无线通信技术与MATLAB实现》书籍光盘
上传时间： 2015-11-22
上传用户：xpy0469
3GPP—SCM信道模型及源码 对Mimo信道进行了仿真，将文件放在MATLAB路径下，输入help winner就能查看具体函数，输入参数就能产生Mimo信道
上传时间： 2017-03-18
上传用户：啦啦啦lala
有关极化天线容量计算的论文，有图有仿真结果
上传时间： 2017-04-06
上传用户：dlfwryb
大规模Mimo 检测算法的非线性信号检测算法
上传时间： 2019-05-22
上传用户：qy33
This book gives a comprehensive overview of the technologies for the advances of mobile radio access networks. The topics covered include linear transmitters, superconducting filters and cryogenic radio frequency (RF) front head, radio over fiber, software radio base stations, mobile terminal positioning, high speed downlink packet access (HSDPA), multiple antenna systems such as smart antennas and multiple input and multiple output (Mimo) systems, orthogonal frequency division multiplexing (OFDM) systems, IP-based radio access networks (RAN), autonomic networks, and ubiquitous networks.
标签： Advances Networks Access Mobile Radio in
上传时间： 2020-05-26
上传用户：shancjb
Multiple-Input Multiple-Output (Mimo) systems have recently been the subject of intensive consideration in modem wireless communications as they offer the potential of providing high capacity, thus unleashing a wide range of applications in the wireless domain. The main feature of Mimo systems is the use of space-time processing and Space-Time Codes (STCs). Among a variety of STCs, orthogonal Space-Time Block Codes (STBCs) have a much simpler decoding method, compared to other STCs
标签： Orthogonal Space-Time Processing Complex
上传时间： 2020-05-26
上传用户：shancjb
Multiuser multiple-input-multiple-output (MU- Mimo) systems are known to be hindered by dimensionality loss due to channel state information (CSI) acquisition overhead. In this paper, we investigate user-scheduling in MU-Mimo systems on account of CSI acquisition overhead, where a base station dynamically acquires user channels to avoid choking the system with CSI overhead.
标签： Acquisition Dynamic Channel
上传时间： 2020-05-27
上传用户：shancjb
The writing of this book was prompted by two main developments in wireless communications in the past decade. First is the huge surge of research activities in physical-layer wireless communication theory. While this has been a subject of study since the 60’s, recent developments in the field, such as opportunistic and multi-input multi-output (Mimo) communication techniques, have brought completely new per- spectives on how to communicate over wireless channels.
标签： Communication Fundamentals Wireless of
上传时间： 2020-05-27
上传用户：shancjb
To meet the future demand for huge traffic volume of wireless data service, the research on the fifth generation (5G) mobile communication systems has been undertaken in recent years. It is expected that the spectral and energy efficiencies in 5G mobile communication systems should be ten-fold higher than the ones in the fourth generation (4G) mobile communication systems. Therefore, it is important to further exploit the potential of spatial multiplexing of multiple antennas. In the last twenty years, multiple-input multiple-output (Mimo) antenna techniques have been considered as the key techniques to increase the capacity of wireless communication systems. When a large-scale antenna array (which is also called massive Mimo) is equipped in a base-station, or a large number of distributed antennas (which is also called large-scale distributed Mimo) are deployed, the spectral and energy efficiencies can be further improved by using spatial domain multiple access. This paper provides an overview of massive Mimo and large-scale distributed Mimo systems, including spectral efficiency analysis, channel state information (CSI) acquisition, wireless transmission technology, and resource allocation.
标签： Large-scale Antenna Systems
上传时间： 2020-05-27
上传用户：shancjb
