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Description: The target of the assignment is to familiarize the student with MIMO channel modeling.
The work is based on L. Schumacher’s MIMO channel model implementation, with
added capacity analysis. First the channel model implementation is introduced, and
thereafter analysis on MIMO channel with different parameters is done. Finally a short
report on the results is written.
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Size: 553984 |
Author: zxc |
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Description: MIMO 系统仿真，对时变信道的自适应调制-erq.m : function for ERQ algorithm in MIMO systems
space_wf.m : function for spatial domain power waterfilling
st_wf.m : function for spatial and temporal domain waterfilling
MIMO_rate.m : Plot spectral efficiency vs SNR for various cases
MIMO_ber.m : Plot BER vs SNR for ERQ algorithm
Report_figN.m : Plot figure N in final report (N=1,2,...,8)
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Size: 18432 |
Author: jonathan Peng |
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Description: it is word document regarding capacity analysis of MIMO channel and comparison with SISO SIMO and MISO
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Size: 525312 |
Author: Anoop Agarwal |
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Description: hi i want the source code and also the documentation(project report) of the base paper.
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Size: 258048 |
Author: rakesh |
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Description: its about communication.MIMO-OFDM is a transmission technique-its about communication.MIMO-OFDM is a transmission technique...........
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Size: 678912 |
Author: arjun |
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Description: 这是一份关于MIMO无线系统设计的一份分析资料，另外在最后还附带了程序。很不错的！-In this report, we will be mostly talking about QAM. So for completeness, in Fig. 2, we plot MATLAB
simulation results for the probability of symbol error of 16-QAM. As it can be seen, the performance
degradation is as severe as in the BPSK case.
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Size: 138240 |
Author: SB |
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Description: we present a practical link adaptation
algorithm for MIMO-OFDM systems. The proposed solution is
based on sounding the channel periodically and choosing the
optimal mode that will maximize the throughput or energy
efficiency (EE) while satisfying the application’s quality of service
(QoS) requirements. In addition, we address practical problems
such as the computational complexity of the algorithm and
determination of sounding period by novel closed form solutions
and iterative algorithms. Realistic link level simulations confirm
that the proposed solution achieves significant improvement
over existing link adaptation algorithms when the aim is to
maximize the throughput, and provides orders of magnitude
gain in energy efficiency compared to poorly chosen fixed modes
when used for energy efficiency maximization purposes. The
resulting algorithms are implemented on a real time MIMOOFDM testbed, and we report on the experimental results.
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Size: 4096 |
Author: gobi |
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Description: 发送端有信道知识的MIMO信道容量仿真及实验结果报告-Matlab simulation of MIMO channel with CSIT and the final report
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Size: 698368 |
Author: michael |
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Description: 802.11a基于OFDM系统MATLAB仿真实验报告
包含MIMO-OFDM的系统仿真程序-802.11a simulation experiment report based on OFDM system MATLAB
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Size: 13312 |
Author: wang |
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