MAssive-MIMO

所属分类:matlab编程
开发工具:matlab
文件大小:1491KB
下载次数:676
上传日期:2014-05-26 12:01:44
上 传 者eraiko
说明:  MAssive MiMO in which it shows its performance in terms of BER

文件列表:
MAssive MIMO\.DS_Store (21508, 2013-04-07)
MAssive MIMO\allpath.m (104, 2012-12-15)
MAssive MIMO\channel (0, 2010-02-26)
MAssive MIMO\channel\channel.m (1821, 2013-04-07)
MAssive MIMO\decoder.m (1508, 2013-04-07)
MAssive MIMO\decoder (0, 2013-04-07)
MAssive MIMO\decoder\.DS_Store (6148, 2013-04-07)
MAssive MIMO\decoder\BCJR.c (10427, 2013-04-07)
MAssive MIMO\decoder\BCJR.mexa64 (11797, 2010-03-03)
MAssive MIMO\decoder\BCJR.mexmaci (13032, 2010-05-13)
MAssive MIMO\decoder\BCJR.mexmaci64 (12864, 2011-12-02)
MAssive MIMO\decoder\BCJR.mexsol (11840, 2010-02-26)
MAssive MIMO\decoder\matrixarith.h (1153, 2010-05-13)
MAssive MIMO\decoder\mexheader.h (1173, 2010-05-13)
MAssive MIMO\decoder\mexutils.h (2484, 2010-05-13)
MAssive MIMO\detector.m (1565, 2013-04-07)
MAssive MIMO\err_sim.m (5305, 2013-04-07)
MAssive MIMO\init.m (5265, 2013-04-07)
MAssive MIMO\param (0, 2013-04-07)
MAssive MIMO\param\.DS_Store (6148, 2013-04-07)
MAssive MIMO\param\PAR_8x64_16QAM_Tap4_LS.m (1914, 2013-04-07)
MAssive MIMO\param\PAR_8x64_16QAM_Tap4_MF.m (1915, 2013-04-07)
MAssive MIMO\param\PAR_8x64_16QAM_Tap4_PMP.m (2011, 2013-04-07)
MAssive MIMO\plots (0, 2013-04-07)
MAssive MIMO\plots\.DS_Store (6148, 2013-04-07)
MAssive MIMO\plots\err_plot.m (2161, 2013-04-07)
MAssive MIMO\results (0, 2013-04-07)
MAssive MIMO\results\.DS_Store (6148, 2013-04-07)
MAssive MIMO\results\PAR_8x64_16QAM_Tap4_LS_0.mat (489365, 2013-04-07)
MAssive MIMO\results\PAR_8x64_16QAM_Tap4_MF_0.mat (489785, 2013-04-07)
MAssive MIMO\results\PAR_8x64_16QAM_Tap4_PMP_0.mat (492323, 2013-04-07)
MAssive MIMO\solver (0, 2013-04-07)
MAssive MIMO\solver\.DS_Store (6148, 2013-04-07)
MAssive MIMO\solver\FITRA.m (2836, 2013-04-07)
MAssive MIMO\solver\PAPRed.m (3209, 2013-04-07)
MAssive MIMO\tools (0, 2011-12-02)
** (516, 2013-04-07)
MAssive MIMO\tools\consolidate.m (2260, 2013-04-07)
MAssive MIMO\tools\matrixarith.h (1158, 2010-03-03)
... ...

========================================================= Simulator for Peak-to-Average Power (PAR) Ratio Reduction in the Large-Scale Multi-User (MU) MIMO-OFDM Downlink --------------------------------------------------------- (c) Christoph Studer 2013 (studer@rice.edu) ========================================================= # Important information: If you are thinking of contacting us, please do not e-mail the author to ask for download instructions, installation guidelines, or the toolbox itself. Note that we will NOT help to debug user-generated code that is not included in the provided package. If, however, you notice a bug in our code, please be so kind to contact the author of this software: Dr. Christoph Studer (studer@rice.edu). The package is supplied "as is", without any accompanying support services, maintenance, or future updates. We make no warranties, explicit or implicit, that the software contained in this package is free of error or that it will meet your requirements for any particular application. It should not be relied on for any purpose where incorrect results could result in loss of property, personal injury, liability or whatsoever. Remember: If you do use our software for any such purpose, it is at your own risk. The authors disclaim all liability of any kind, either direct or consequential, resulting from your use of these programs. *IMPORTANT*: If you use this simulator or parts of it for your own research and publish a paper, journal article, book chapter etc. then you *MUST* cite the following paper: [SL13] C. Studer and E. G. Larsson, "PAR-Aware Large-Scale Multi-User MIMO-OFDM Downlink," IEEE Journal on Selected Areas in Communications (JSAC), Vol. 32, No. 2, pp. 303-313, Feb. 2013 and clearly state that you used the simulator (or part of it) in the main body of your publication. --------------------------------------------------------- # How to start a simulation: Note that Matlab must be started in the main folder in order to automatically include all paths defined in the userpath.m file. Note that the necessary paths can also be included manually (using the Matlab GUI). If the paths are not included automatically, run the "allpath.m" script. Starting a simulation is straightforward: The simulator bases on parameter files (found in the param/ folder), which are used to define all necessary simulation settings. For example, type >> PAR_8x***_16QAM_Tap4_PMP(0) This command will start a simulation with a the precoding, modulation, and PAR reduction (PAR) method for a 8x*** large-scale MIMO system using 16-QAM. The simulation will invoke the FITRA (fast iterative truncation algorithm) to simultaneously perform multi-user precoding, OFDM modulation, and l_infty-norm based PAR reduction. The value 0 determines the random seed and is useful to reproduce the simulation results or to run multiple simulation trials in parallel. *IMPORTANT*: We highly recommend you to execute the code step-by-step (using Matlab's debug mode) in order to gain some understanding of the simulator. *REMEMBER*: Since the certain parts of the simulation framework are written in mex/C (to reduce the simulation time significantly), it might be necessary that you have to recompile the associated files for your target platform. The folders decoder/ and tools/ contain the mex/C source files. Consult the Matlab manual of how to compile these files. --------------------------------------------------------- # Version 1.0 (Apr 7, 2013) - initial version for public access

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