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[Windows Developcapacity_mimo1

Description: 是Ergodic Capacity Analysis of Amplify-and-Forward MIMO Dual-Hop Systems这篇论文的对应容量仿真源代码,模型是AF MIMO双跳系统模型,可以支持任意的天线数量,还带有蒙特卡罗仿真的源代码。-Yes Ergodic Capacity Analysis of Amplify-and-Forward MIMO Dual-Hop Systems of this paper corresponds to the capacity simulation of the source code, the model is two-hop AF MIMO system model can support an arbitrary number of antennas, but also with a Monte Carlo simulation of the source code.
Platform: | Size: 1024 | Author: chunfei1987 | Hits:

[Mathimatics-Numerical algorithmstianxian

Description: With the rapid development of wireless communication,mobile subscribers have increasing requirements of the system capacity and communication quality.Therewith, the design of the base station antenna,which is a vital component of a wireless system, should take jnto account many factors.In the next generation of wireless communication,the application of MIMO technologies increases the system capacity linearly with the minimum number of transmit and receive antennas.As the M1M0 system implies multiple antennas in both transmit and receive sides,the design of multiple antennas becomes very important in the next generation of wireless communication.
Platform: | Size: 1949696 | Author: ningxiaoge | Hits:

[SCMINVESTIGATINGTHEIMPACT

Description: or future wireless communications systems, parameters like high transmission data rate, spectral efficiency, and reliability are extremely necessary. In a multipath wireless channel, deploying multiple antennas at both the transmitter and receiver help us achieve higher data rate without increasing the total transmission power or bandwidth. When perfect knowledge of the wireless channel conditions is available at the receiver, the capacity has been shown to grow linearly with the number of antennas.
Platform: | Size: 253952 | Author: yasora | Hits:

[Communication-Mobilemimo

Description: MIMO系统 容量和天线数目关系 通过仿真可以看出 容量随着天线数目的变化-Antenna MIMO system capacity and the number of relations can be seen through the simulation volume with changes in the number of antennas
Platform: | Size: 15360 | Author: hx | Hits:

[3G developr-li-2008-thesis.pdf.tar

Description: As a multi-carrier modulation scheme, Orthogonal Frequency Division Multiplexing (OFDM) technique can achieve high data rate in frequency-selective fading channels by splitting a broadband signal into a number of narrowband signals over a number of subcarriers, where each subcarrier is more robust to multipath. The wireless communication system with multiple antennas at both the transmitter and receiver, known as multiple-input multiple-output (MIMO) system, achieves high capacity by transmitting independent information over different antennas simultaneously. The combination of OFDM with multiple antennas has been considered as one of most promising techniques for future wireless communication systems.
Platform: | Size: 2609152 | Author: ashish | Hits:

[matlabmimo_waterfilling

Description: >*** *** *** *** *** *** *** *** *** *** *** *** >This program works with "capacity_plot_main.m" file.Figs >2.6,2.7,2.9,2.12 are determined using this program >SNR is signal-to-noise ratio in dBs >M -> number of antennas (M x M) system >corr -> 1 if with correlation, 0 if uncorrelated (for a 2x2 system only) >value -> correlation coefficient value from 0 ->1 >XPD -> 1 if antenna XPD is to be investigated, 0 if not (for a 2x2 system >only) >alpha -> XPD value >output -> defined by erg and out for ergodic capacity or outage >capacity respectively ->********************************************************************* >This program works with "capacity_plot_main.m" file.Figs >2.6,2.7,2.9,2.12 are determined using this program >SNR is signal-to-noise ratio in dBs >M-> number of antennas (M x M) system >corr-> 1 if with correlation, 0 if uncorrelated (for a 2x2 system only) >value-> correlation coefficient value from 0->1 >XPD-> 1 if antenna XPD is to be investigated, 0 if not (for a 2x2 system >only) >alpha-> XPD value >output-> defined by erg and out for ergodic capacity or outage >capacity respectively
Platform: | Size: 2048 | Author: TomYang | Hits:

[3G developLDPC_matlab

Description: This paper studies the ergodic capacity limits of multiple-input multiple-output (MIMO) antenna systems with arbitrary finite number of antennas operating on general fading environments. Through the use of majorization theory, we first investigate in detail the ergodic capacity of Nakagami-m fading channels,
Platform: | Size: 28672 | Author: sourov | Hits:

[Communication-MobileMIMO

Description: MIMO信道容量的仿真,主要是关于信道容量会随着天线数的增大而增大的一个仿真-Simulation of the MIMO channel capacity, mainly on the channel capacity will be increased with the increasing of the number of antennas and a simulation
Platform: | Size: 5120 | Author: 杨浩 | Hits:

[Post-TeleCom sofeware systemsErgodic_Capacity_CDF

Description: 本仿真可以得到发射机未知CSI时随机MIMO信道容量的CDF,可以知道MIMO系统容量随着发射和接收天线数的增加得到改善。-The simulation can be a random MIMO channel capacity CDF of the transmitter is unknown CSI, that MIMO system capacity can be increased with the number of transmit and receive antennas can be improved.
Platform: | Size: 1024 | Author: stanshao | Hits:

[matlabMIMO-capacity

Description: Desribe mimo channel capacity with different number of antennas
Platform: | Size: 3368960 | Author: kazim | Hits:

[Othercommunication-theory

Description: 1.由用户输入发射天线和接收天线的数量和SNR的值,画出MIMO通道性能的PDF和CDF,通道符合雷利分布。2.输入发射天线和接收天线数量及SNR范围,计算通道的性能,画出所有capacity v.s SNR图。- ​ ​ 1. transmit and receive antennas are input by the user of the number and SNR draw MIMO channel performance of PDF and CDF, in line with Rayleigh distribution channel. 2. Enter the number of transmit and receive antennas and SNR range, computing performance channel draw all capacity vs SNR map.
Platform: | Size: 174080 | Author: CAIJING | Hits:

[Software Engineering07550213

Description: Massive multiple-input multiple-output technology has been considered a breakthrough in wireless communication systems. It consists of equipping a base station with a large number of antennas to serve many active users in the same time–frequency block. Among its underlying advantages is the possibility to focus transmitted signal energy into very short-range areas, which will provide huge improvements in terms of system capacity. However, while this new concept renders many interesting benefits, it brings up new challenges that have called the attention of both industry and academia: channel state information acquisition, channel feedback, instantaneous reciprocity, statistical reciprocity, architectures, and hardware impairments, just to mention a few. This paper presents an overview of the basic concepts of massive multiple-input multiple-output, with a focus on the challenges and opportunities, based on contemporary research.
Platform: | Size: 48128 | Author: hadjidw | Hits:

[Program doc07581208

Description: Massive multiple-input multiple-output technology has been considered a breakthrough in wireless communication systems. It consists of equipping a base station with a large number of antennas to serve many active users in the same time–frequency block. Among its underlying advantages is the possibility to focus transmitted signal energy into very short-range areas, which will provide huge improvements in terms of system capacity. However, while this new concept renders many interesting benefits, it brings up new challenges that have called the attention of both industry and academia: channel state information acquisition, channel feedback, instantaneous reciprocity, statistical reciprocity, architectures, and hardware impairments, just to mention a few. This paper presents an overview of the basic concepts of massive multiple-input multiple-output, with a focus on the challenges and opportunities, based on contemporary research.
Platform: | Size: 502784 | Author: hadjidw | Hits:

[Otheridentification

Description: Massive multiple-input multiple-output technology has been considered a breakthrough in wireless communication systems. It consists of equipping a base station with a large number of antennas to serve many active users in the same time–frequency block. Among its underlying advantages is the possibility to focus transmitted signal energy into very short-range areas, which will provide huge improvements in terms of system capacity. However, while this new concept renders many interesting benefits, it brings up new challenges that have called the attention of both industry and academia: channel state information acquisition, channel feedback, instantaneous reciprocity, statistical reciprocity, architectures, and hardware impairments, just to mention a few. This paper presents an overview of the basic concepts of massive multiple-input multiple-output, with a focus on the challenges and opportunities, based on contemporary research.
Platform: | Size: 1060864 | Author: hadjidw | Hits:

[Communication-MobileMIMO-OFDM system

Description: Although MIMO techniques are significantly ‘younger’ than OFDM, they also reached a state of maturity and hence the family of recent wireless standards includes the optional employment of MIMO techniques, which motivates the joint study of OFDM and MIMO techniques in this volume. The research of MIMO arrangements was motivated by the observation that the MIMO capacity increases linearly with the number of transmit antennas, provided that the number of receive antennas is equal to the number of transmit antennas. With the further proviso that the total transmit power is increased proportionately to the number of transmit antennas, a linear capacity increase is achieved upon increasing the transmit power. This is beneficial since, according to the classic Shannon–Hartley law, the achievable channel capacity increases only logarithmically with the transmit power. Thus MIMOOFDM may be considered a ‘green’ transceiver solution.
Platform: | Size: 7897741 | Author: mustafa1970 | Hits:

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