Description: 认知无线电的开创者Mitolar的论文，是认知无线电领域的经典-Cognitive radio Mitolar the pioneers of the papers, is a classic field of cognitive radio Platform: |
Size: 1302528 |
Author:laiguojun |
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Description: 一篇西安电子科技大学的硕士论文，讨论了各种空时编码技术的设计准则和编译码方案，分析了不需要信道状态信息的差分酉空时编码调制技术，给出了仿真结果。-Xidian University, a master s thesis, discussed a wide range of space-time coding technology, design criteria and codec programs analyzed do not need to channel state information of Differential Unitary Space-Time code modulation technology, the simulation results. Platform: |
Size: 2368512 |
Author:fisher |
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Description: 已知信道状态信息情况下的基于注水法功率分配的OFDM系统 并且和其它系统比较-Known channel state information in case of water injection method based on the OFDM power distribution system and other systems and compare Platform: |
Size: 19456 |
Author:邱昊 |
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Description: Space-Time Codes and MIMO Systems，figure 2.8 的程序，信道信息已知和未知条件下的遍历容量-Space-Time Codes and MIMO Systems, figure 2.8 of the procedure, the channel state information known and unknown conditions of the ergodic capacity Platform: |
Size: 1024 |
Author:nancy |
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Description: Space-Time Codes and MIMO Systems，figure 2.9 的程序，信道信息已知和未知条件下的中断容量-Space-Time Codes and MIMO Systems, figure 2.9 of the procedure, the channel state information known and unknown conditions of the outage capacity Platform: |
Size: 1024 |
Author:nancy |
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Description: 两篇最新的介绍MIMO中继信道容量的文章Capacity Bounds for Gaussian MIMO relay channel with Channel State Information 与 Amplify-Forward and Decode-Forward The Impact of Location and Capacity Contour-2, introduced the latest MIMO channel capacity relay article Capacity Bounds for Gaussian MIMO relay channel with Channel State Information and Amplify-Forward and Decode-Forward The Impact of Location and Capacity Contour Platform: |
Size: 3613696 |
Author:doublesun |
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Description: MIMO及注水算法.在已信道状态信息时,求信道容量的方法.-Algorithm for MIMO and water. In the channel state information, and the method of channel capacity. Platform: |
Size: 7168 |
Author:杨 |
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Description: 在MIMO系统中，已知和未知信道状态信息时的信道容量比较-In MIMO systems, known and unknown channel state information when the channel capacity compared Platform: |
Size: 37888 |
Author:hquwgz |
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Description: The main goal of this work is to provide a unified theory of QSTBCs for four transmit antennas and
one (or more) receive antennas. The thesis consists of two main parts: In the first part we analyze the
QSTBCs transmission without any channel knowledge at the transmitter and in the second part we analyze
transmission with QSTBCs assuming partial channel state (CSI) information at the transmitter.
For both cases, the QSTBCs are studied on spatially correlated and uncorrelated frequency flat MIMO
channels applying a Maximum Likelihood receivers as well as a low complexity linear Zero-Forcing
receivers. The spatial correlation is modelled by the so-called Kronecker Model. Measured indoor channels
are also used in our simulations to show the performance of the QSTBCs in real-world environment Platform: |
Size: 1024 |
Author:hammad |
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Description: 本程序利用MATLAB仿真在不知道信道状态信息的情况下，利用差分编码和差分接收计算误码率的程序-MATLAB simulation of the procedures used in the does not know the channel state information of the case, the use of differential encoding and differential receiver bit error rate calculation process Platform: |
Size: 1024 |
Author:高建丰 |
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Description: A multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable
high data rate transmission over broadband wireless channels. Channel state information for both single-input single-output (SISO) and MIMO systems based on pilot aided arrangement is
investigated in this paper. The estimation of channel at pilot frequencies with conventional Least Square (LS) and Minimum Mean Square (MMSE) estimation algorithms is carried out
through Matlab simulation. The performance of MIMO OFDM and SISO OFDM are evaluated on the basis of Bit Error Rate (BER) and Mean Square Error (MSE) level.-A multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable
high data rate transmission over broadband wireless channels. Channel state information for both single-input single-output (SISO) and MIMO systems based on pilot aided arrangement is
investigated in this paper. The estimation of channel at pilot frequencies with conventional Least Square (LS) and Minimum Mean Square (MMSE) estimation algorithms is carried out
through Matlab simulation. The performance of MIMO OFDM and SISO OFDM are evaluated on the basis of Bit Error Rate (BER) and Mean Square Error (MSE) level. Platform: |
Size: 729088 |
Author:loihuynh |
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Description: A Subcarrier Allocation Algorithm for OFDMA
using Buffer and Channel State Information is one of the basic and most prominent algorithm in the present day world Platform: |
Size: 128000 |
Author:Ashiwinilade |
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Description: 随着传输速率越来越高,信号所占用的带宽越来越宽,实际信道呈现出频率选择性衰落特
性。根据频率选择性衰落信道特性,建立了频率选择性衰落M IMO信道模型,采用频域和时域的方
法研究了在频率选择性衰落下,发射端已知和未知信道状态信息的M IMO信道容量,并给出了相关
的仿真结果。研究结果表明:在相同发射功率和传输带宽下,M IMO系统可以不牺牲信号带宽而显
著提高信道的容量,并且天线数量和输入信噪比的大小对信道容量具有不同的影响。研究结果为如
何提高频率选择性衰落环境下M IMO信道容量提供了依据。-With the higher and higher of transmitting rate, the signal bandwidth iswider and wider, and the
p ractical channel p resents the frequency selective fading character. In this paper, a multi- input multi-
output (M IMO) channelmodel under frequency selective fading is constructed according to the character of
frequency selective fading channel. The frequency and time domain methods are used to discussM IMO
channel capacity due to the known and unknown channel state information under the frequency selective fa2
ding. The simulation results show thatM IMO system can imp rove the channel capacity remarkably but no
exchanging signal bandwidth under the circumstances of the same launching power and transmitting band2
width, and the numbers of antennas and the quantity of SNR have the different effect on the channel capaci2
ty. The conclusion offers the basis of how to imp rove M IMO channel capacity under the circumstances of
frequency selective fading. Platform: |
Size: 513024 |
Author:蜡笔 |
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Description: With the higher and higher of transmitting rate, the signal bandwidth iswider and wider, and the
p ractical channel p resents the frequency selective fading character. In this paper, a multi - input multi -
output (M IMO) channelmodel under frequency selective fading is constructed according to the character of
frequency selective fading channel. The frequency and time domain methods are used to discussM IMO
channel capacity due to the known and unknown channel state information under the frequency selective fa2
ding. The simulation results show thatM IMO system can imp rove the channel capacity remarkably but no
exchanging signal bandwidth under the circumstances of the same launching power and transmitting band2
width, and the numbers of antennas and the quantity of SNR have the different effect on the channel capaci2
ty. The conclusion offers the basis of how to imp rove M IMO channel capacity under the circumstances of
frequency selective fading. Platform: |
Size: 513024 |
Author:Yuan |
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Description: In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it referable to get low-rate/coarse channel feedback from a large number of receivers or high-rate/high-quality feedback from a smaller number of receivers? Acquiring feedback from many receivers allows multi-user diversity to be exploited, while high-rate feedback allows
for very precise selection of beamforming directions. We show that there is a strong preference for obtaining high-quality feedback, and that obtaining near-perfect channel information from as many receivers as possible provides a significantly larger sum rate than collecting a few feedback bits from a large number of users. Platform: |
Size: 2106368 |
Author:xinpha |
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Description: MIMO系统在发射端未知信道状态信息条件下，不同天线配置时的信道容量对比。-MIMO system in the transmitter channel state information unknown conditions, channel capacity when comparing different antenna configurations. Platform: |
Size: 1024 |
Author:xixi |
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Search - Channel state information