Description: MIMO容量仿真的matlab程序，在相关影响情况下的容量分析-MIMO capacity matlab simulation procedures, the impact in the relevant circumstances of the Capacity Analysis Platform: |
Size: 1024 |
Author:成为 |
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Description: Space-Time Codes and MIMO Systems，figure 2.6的程序，关于遍历容量和终端容量-Space-Time Codes and MIMO Systems, figure 2.6 of the procedure, on the ergodic capacity and terminal capacity Platform: |
Size: 1024 |
Author:nancy |
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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 2.10 的程序，分集条件下的遍历容量-Space-Time Codes and MIMO Systems, figure 2.10 the procedure, sub-set of the ergodic capacity under the conditions Platform: |
Size: 1024 |
Author:nancy |
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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 |
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Description: 关于MIMO OFDM不同发射和接收的天线数目下的系统容量的仿真-Firing as for MIMO the OFDM dissimilarity and under the recipient number of aerials of the imitating of system capacity is really Platform: |
Size: 1024 |
Author:诸葛流云 |
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Description: 关于MIMO OFDM不同发射和接收的天线数目下的系统容量的仿真-Firing as for MIMO the OFDM dissimilarity and under the recipient number of aerials of the imitating of system capacity is really Platform: |
Size: 2048 |
Author:诸葛流云 |
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Description: MIMO．OFDM系统的子载波、功率和比特分配
MIMO技术能不增加系统带宽却提高系统容量和频谱利用率-The MIMO.OFDM system subcarrier, bit and power allocation
MIMO technology can not increase the bandwidth of the system can improve the system capacity and spectrum efficiency Platform: |
Size: 7168 |
Author:sunyidu |
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Description: 这个仿真程序用于实现MIMO-OFDM系统容量仿真，分析了MIMO算法的性能。-This simulation program is used to implement the system capacity of MIMO-OFDM simulation program. Platform: |
Size: 2048 |
Author:唐月生 |
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Description: mimo-ofdm系统中信道容量估计的分析和仿真，很详细-Analysis and Simulation of channel capacity estimation in MIMO-OFDM system, a very detailed Platform: |
Size: 355328 |
Author:杨旭 |
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Description: MIMO-OFDM系统中的自适应算法中的一种。Chow算法是根据各个子信道的信道容量来分配比特的。与Hughes-Hartogs算法相比，没有了大量的搜素和排序，简化了算法复杂度。-MIMO- OFDM systems in one of the adaptive algorithm. Chow algorithm is based on the channel capacity of each channel to allocate bits. Compared with Hughes- Hartogs algorithm, not a lot of search and sorting, simplify the algorithm complexity. Platform: |
Size: 2048 |
Author:刘晨 |
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Description: Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal frequency
division multiplexing (OFDM) systems and address the issue of
channel estimation. Different other MIMO-OFDM, where
symbols at all tones are always available for decision-directed
channel estimation, in D-BLAST OFDM, we update estimated
channel parameters each time a layer is detected with a least
square (LS) approach, using a pieced combination of received signals
at previous and current OFDM blocks. The initial estimate is
further refined by a robust estimator to exploit the time correlation
of channel parameters among OFDM blocks. Computer simulation
results show the performance improvement over block-wise
channel estimation. It is also shown that D-BLAST with proposed
channel estimation is robust to fast fading of channel parameters.-Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal frequency
division multiplexing (OFDM) systems and address the issue of
channel estimation. Different other MIMO-OFDM, where
symbols at all tones are always available for decision-directed
channel estimation, in D-BLAST OFDM, we update estimated
channel parameters each time a layer is detected with a least
square (LS) approach, using a pieced combination of received signals
at previous and current OFDM blocks. The initial estimate is
further refined by a robust estimator to exploit the time correlation
of channel parameters among OFDM blocks. Computer simulation
results show the performance improvement over block-wise
channel estimation. It is also shown that D-BLAST with proposed
channel estimation is robust to fast fading of channel parameters. Platform: |
Size: 80896 |
Author:werad |
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Description: Multiple Input Multiple Outputs, a wireless or radio communications technology normally used with OFDM for many wireless and radio communications. Multiple-input multiple-output, or MIMO, is a radio communications technology or RF technology that is being mentioned and used in many new technologies these days. Wi-Fi, LTE (3G long term evolution) and many other radio, wireless and RF technologies are using the new MIMO wireless technology to provide increased link capacity and spectral efficiency combined with improved link reliability using what were previously seen as interference paths. Even now many there are many MIMO wireless routers on the market, and as this RF technology is becoming more widespread, more MIMO routers and other items of wireless MIMO equipment will be seen. Platform: |
Size: 129024 |
Author:nebiyu |
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Description: Multiple Input Multiple Outputs, a wireless or radio communications technology normally used with OFDM for many wireless and radio communications. Multiple-input multiple-output, or MIMO, is a radio communications technology or RF technology that is being mentioned and used in many new technologies these days. Wi-Fi, LTE (3G long term evolution) and many other radio, wireless and RF technologies are using the new MIMO wireless technology to provide increased link capacity and spectral efficiency combined with improved link reliability using what were previously seen as interference paths. Even now many there are many MIMO wireless routers on the market, and as this RF technology is becoming more widespread, more MIMO routers and other items of wireless MIMO equipment will be seen. Platform: |
Size: 579584 |
Author:nebiyu |
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Description: With the increasing demand of higher data rate for telecommunication, the IEEE802.11n standard was constituted in 2009. The most important character of the standard is MIMO-OFDM, which not only improves the throughput but also the spectrum efficiency and channel capacity. And in wireless communication, the role of MIMO detectors plays an important part to remove inter-symbol interference (ISI) caused by multipath fading channel. In this paper the BER performance of IEEE 802.11n for 3x2, 4x2 and 4x3 antennas are compared using MMSE and ZF detectors in Matlab Simulink. Platform: |
Size: 465920 |
Author:wawi |
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Description: Matlab code which implements MB-OFDM transmission block as per ECMA 368 standard.
OFDM over frequency selective wireless channels
simulation code for Peak-to-Average Power Ratio (PAPR) reduction in MIMO OFDM/A system using CMA
This is an OFDM simulation that gives you the PAPR, BER, and the PSD before and after the SSPA.
the program distribute an amount power among ofdm subchannel to make the capacity of a channel as ma
Representation of OFDM signal with PAPR reduction using Clipping and SLM Techniques.
The complete project of OFDMA system. It tries to maximize the network capacity.
Link and system level simulator for OFDM based wireless broadband systems
Ultrawideband (UWB) multiband OFDM physical layer with fixed-point transmitter/receiver modeling.
Platform: |
Size: 858112 |
Author:Sina |
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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 |
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Search - Capacity of MIMO-OFDM