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Description: 介绍基于mimo的4G系统中调度算法的设计。比较基础。-mimo based on the 4G system scheduling algorithm design. Basis for comparison.
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Size: 134144 |
Author: 王可 |
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Description: 4G无线移动通信中关键技术MIMO的信道模型源代码-4G wireless mobile communications in the key technologies of the MIMO channel model source code
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Size: 1024 |
Author: 杨阳 |
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Description: 4G无线移动通信中关键技术MIMO的系统仿真源代码-4G wireless mobile communications in the key technologies of the MIMO system simulation source code
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Size: 274432 |
Author: 杨阳 |
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Description: 4G LTE 物理层相关协议 TS36.201——810-4G LTE physical layer related agreements TS36.201--810
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Size: 67584 |
Author: 宁馨儿 |
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Description: 本代码是基于MIMO-OFDM系统下做的信道估计技术的研究。MIMO,OFDM是4G的核心技术,两者相结合的估计算法也是现在研究的热点。本代码包括几种核心的估计算法并可直接仿真出结果。-The code is based on MIMO-OFDM system channel estimation to do research. MIMO, OFDM is the core of 4G technology, a combination of both the estimation algorithm is now a hot research. The code includes several core estimation algorithm and simulation results directly.
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Size: 2048 |
Author: 赵琪 |
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Description: Technical features of the wireless network generation antenna schemes and the modulation systems. A look on the specifications the MIMO-OFDM 4G communication system.
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Size: 406528 |
Author: jenna |
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Description: In this paper, we propose a novel multi-code turbo decoder
architecture for 4G wireless systems. To support various
4G standards, a configurable multi-mode MAP (maximum
a posteriori) decoder is designed for both binary
and duo-binary turbo codes with small resource overhead
(less than 10 ) compared to the single-mode architecture.
To achieve high data rates in 4G, we present a parallel
turbo decoder architecture with scalable parallelism tailored
to the given throughput requirements.
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Size: 331776 |
Author: naresh |
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Description: MIMO OFDM for 4G networks
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Size: 625664 |
Author: BADMAN |
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Description: LTE, UMTS, MIMO, SIMO, siso, LTE-a, UTRA, UTRAN. Eutra, etran, 4g
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Size: 315392 |
Author: Joog |
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Description: Ajey, S., B. Srivalli, et al. (2010). On performance of MIMO-OFDM based LTE systems. Wireless Communication and Sensor Computing, 2010. ICWCSC 2010. International Conference on.
4G wireless systems predominately employ multiple input multiple output (MIMO) with an orthogonal frequency division multiplexing (OFDM) system. Like other 4G systems long term evolution (LTE) also employs MIMO-OFDM physical layer. MIMO helps in increasing the throughput whereas OFDM converts a frequency selective fading channel to multiple flat fading sub-channels facilitating easy equalization. It is proposed that LTE system should mandatorily support 2Ã 2 MIMO setup. Our paper focuses on the performance of such a LTE system with two transmit antennas and two receive antennas in a frequency selective fading environment.
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Size: 311296 |
Author: Lakmali |
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Description: 3G/4G主要技术之一,多入多出MIMO介绍。-3G/4G Technical MIMO introduction.
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Size: 1425408 |
Author: 杨旭 |
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Description: 新一代移动通信(beyond 3G/4G),将提供高速的数据传输速率,以支持新业
务的不断涌现。如何在有限的频谱资源上实现高速率和大容量是未来移动通信系
统的关键因素之一。-The next generation of mobile communications will be able to provide a hi曲data
transfer rate to support the continuous emergence of new business.The key challenge of
mobile communication system is how to achieve hi曲-speed and large—capacity in the
limited spectrum resource
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Size: 3695616 |
Author: 蜡笔 |
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Description: 这是用SIMULINK的S-FUNCTION方式编写的系统仿真代码,系统是基于4G网络的核心技术空时分组编码的MIMO-OFDM通信系统的,涉及到空间分集、时间分集和频率分集的有机结合,包括QPSK调制解调、IFFT调制、控制编解码、基于训练符号的信道估计等通信模块。包括main_STBC_MIMO_OFDM和training_symbol两个M文件和一个DOC文件,对各部分的都有详细的代码和注释。-It is used SIMULINK the S-FUNCTION approach to the preparation of the system simulation code, the system is based on the 4G network s core technology space-time block coded MIMO-OFDM communication system, involving spatial diversity, time diversity and frequency diversity of the organic combination, including QPSK modulation and demodulation, IFFT modulation, control of encoding and decoding, symbol-based channel estimation training and other communication module. Including main_STBC_MIMO_OFDM and training_symbol two M file and a DOC file, have detailed the various parts of the code and comments.
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Size: 13312 |
Author: masong |
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Description: 该文档描述了关于4G和B3G的物理层传输关键技术的主要内容,包括MIMO、OFDM、OTDM、智能天线、接入技术以及SDR等知识-This document describes the 4G and B3G on the physical layer transmission main key technologies, including MIMO, OFDM, OTDM, smart antennas, access to technology and the knowledge of SDR
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Size: 1899520 |
Author: 郭悦 |
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Description: 该文档详细介绍了4G LTE下的MIMO OFDM的工作原理-very good document for get knowledge of 4G MIMO OFDM
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Size: 165888 |
Author: vincent |
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Description: MIMO-OFDM作为3G,4G的核心技术得到了广泛的关注-MIMO-OFDM as 3G, 4G core technology has been widespread concern
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Size: 2048 |
Author: 流浪汉 |
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Description: MIMO是移动4G的通信技术,但是受到地形和外部建筑的影响,收到的无线信号含有多径,产生严重的码间干扰,文章中阐述了用MMSE方法对信号进行均衡,很好得恢复MIMO信号-4G MIMO mobile communication technology, but by the terrain and outside the building, the wireless signal containing the received multipath produce serious inter-symbol interference, the article describes a method of using the MMSE equalization of the signal, the recovery was very good MIMO signal
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Size: 1309696 |
Author: 周跃海 |
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Description: MIMO Processing for 4G and Beyond Fundamentals and Evolution 新出的的关于4G的书籍,学习必备。 -MIMO Processing for 4G and Beyond Fundamentals and Evolution welcome to download!
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Size: 8826880 |
Author: 张杰 |
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Description: 无线通信系统可以利用的资源包括:空间、时间、频率和功率。在B3G/4G系统中,空间资源和频率资源被重新开发使用,从而大大提高了系统的性能。
多天线技术在发送端和接收端同时使用多根天线,扩展了空间域,充分利用了空间扩展所提供的特征,从而带来了系统容量的提高。目前多天线技术已成为了B3G/4G系统的关键技术之一。
-The resources that the wireless communication system can use include: space, time, frequency and power. In the B3G/4G system, the spatial resources and the frequency resource are re- used, which greatly improve the system performance..
Characteristics of multi antenna technology in sending end and simultaneous use of multiple antennas at the receiver, to expand the spatial domain, make full use of the space extensions are provided, which brought the system capacity to improve. At present, multi antenna technology has become one of the key technologies of B3G/4G system..
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Size: 2048 |
Author: robin |
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Description: 本程序实现了基于相关矩阵法的LTE及4G中MIMO多径信道的仿真,最终获得了MIMO信道的传播矩阵。(第一步,选择应用场景(确定信道参数和天线配置参数);第二步,计算相关矩阵,并做Cholesky分解;第三步,利用Jakes模型产生多普勒随机变量;第四步,形成TDL;第五步,根据前四步准备,最终得到MIMO多径信道的信道传输矩阵)-This procedure achieved based on the correlation matrix method and 4 g LTE MIMO in multipath channel simulation, finally obtained the spread of the MIMO channel matrix.
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Size: 18432 |
Author: hulina |
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