scholarly journals SELF ADAPTIVE EFFECTIVE APERTURE FOR MULTI ANTENNA SET-UPS IN FADED WIRELESS CHANNELS

2014 ◽  
pp. 1-7
Author(s):  
PARISMITA A. KASHYAP ◽  
Kandarpa Kumar Sarma
Keyword(s):  
System Performance ◽  
Wireless Channels ◽  
Adaptive System ◽  
Mimo System ◽  
Single Input Single Output ◽  
Single Output ◽  
Effective Aperture ◽  
Single Input ◽  
Transmitting Antenna ◽  
Self Adaptive

In mobile communication, a less explored technique to mitigate fading effects is based on the physical parameter of the transmitter by varying the physical dimension of the transmitting antenna. This paper deals with a self adaptive system to eliminate severe fading effects in different multi antenna set-ups by adaptively updating the effective aperture of the transmitting antenna. The system changes the effective aperture of the transmitting antenna to adapt to a previously set system parameter. We consider here Single input-single output (SISO), Single input-multi output (SIMO), Multi input-single output (MISO), and Multi input-multi output (MIMO) system with three different modulation schemes - BPSK, DPSK and QAM. Finally, the system performance is analyzed for the different set-ups in terms of Bit error rate (BER). We will see that our results show significantly better performance.

scholarly journals A Mixed Binary-Real NSGA II Algorithm Ensuring Both Accuracy and Interpretability of a Neuro-Fuzzy Controller

2017 ◽  
Vol 7 (5) ◽  
pp. 2614 ◽  
Author(s):  
Faouzi Titel ◽  
Khaled Belarbi
Keyword(s):  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Mimo System ◽  
Nsga Ii ◽  
Inference System ◽  
Single Input Single Output ◽  
Single Output ◽  
Neuro Fuzzy ◽  
Single Input ◽  
The Mean

<p>In this work, a Neuro-Fuzzy Controller network, called NFC that implements a Mamdani fuzzy inference system is proposed. This network includes neurons able to perform fundamental fuzzy operations. Connections between neurons are weighted through binary and real weights. Then a mixed binary-real Non dominated Sorting Genetic Algorithm II (NSGA II) is used to perform both accuracy and interpretability of the NFC by minimizing two objective functions; one objective relates to the number of rules, for compactness, while the second is the mean square error, for accuracy. In order to preserve interpretability of fuzzy rules during the optimization process, some constraints are imposed. The  approach  is  tested  on  two  control examples:  a single  input  single  output (SISO) system  and  a  multivariable (MIMO) system.<strong></strong></p>

Comparative analysis of SISO and wavelength diversity-based FSO systems at different transmitter power levels

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Varun Srivastava ◽  
Abhilash Mandloi ◽  
Dhiraj Kumar Patel
Keyword(s):  
Optical Signal ◽  
Free Space Optical ◽  
Optical Source ◽  
Transmit Power ◽  
Single Input Single Output ◽  
Transmitter Power ◽  
Single Output ◽  
Communication Links ◽  
Single Input ◽  
Matching Performance

AbstractFree space optical (FSO) communication refers to a line of sight technology, which comprises optical source and detector to create a link without the use of physical connections. Similar to other wireless communication links, these are severely affected by losses that emerged due to atmospheric turbulence and lead to deteriorated intensity of the optical signal at the receiver. This impairment can be compensated easily by enhancing the transmitter power. However, increasing the transmitter power has some limitations as per radiation regulations. The requirement of high transmit power can be reduced by employing diversity methods. This paper presents, a wavelength-based diversity method with equal gain combining receiver, an effective technique to provide matching performance to single input single output at a comparatively low transmit power.

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