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$30 USD / hour
Flag of YEMEN
sanaa, yemen
$30 USD / hour
It's currently 6:56 PM here
Joined April 4, 2020
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Mohammed A.

@mooo1080

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$30 USD / hour
Flag of YEMEN
sanaa, yemen
$30 USD / hour
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Communications Engineer

I am a Communications Engineer and got to Degree of Master of Science in Electrical Engineering (Telecommunications) from the College of Graduate Studies & Scientific Research of Karary University. I have implemented and designed many power circuits and control and interested in scientific research, antenna design, Matlab programming, and Electrical Engineering. I have already designed a microwave frequency radio frequency identification (RFID) reader antenna. I have experience in measuring various antenna parameters including peak gain and efficiency. I also have proficiency in ADS and HFSS which are worldwide used software for antenna designing and simulation.
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Portfolio

6367329
Design MIMO-OFDM Wireless Communications with Matlab code. MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems.
Design MIMO-OFDM Wireless Communications with Matlab code
Design MIMO-OFDM Wireless Communications with Matlab code. MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems.
Design MIMO-OFDM Wireless Communications with Matlab code
Design MIMO-OFDM Wireless Communications with Matlab code. MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems.
Design MIMO-OFDM Wireless Communications with Matlab code
Design MIMO-OFDM Wireless Communications with Matlab code. MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems.
Design MIMO-OFDM Wireless Communications with Matlab code
Design MIMO-OFDM Wireless Communications with Matlab code. MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems.
Design MIMO-OFDM Wireless Communications with Matlab code
6367298
Design OFDM (Orthogonal Frequency Division Multiplexing modulation) using Matlab code In these images, the performance of the OFDM technique in mobile radio channels has been studied. Its performance in the presence of noise, various fading effects like multipath fading, frequency selective fading, and Doppler Effect has been analyzed. It has been found that: 1. From the BER vs. SNR in a fading channel, it was observed that OFDM is very tolerant of the channel fading effects. Although the BER for higher SNR is somewhat greater in fading channel than an AWGN channel the difference is very less and the two responses are almost similar. Hence it can be concluded that OFDM is suitable for use in a fading channel. 2. From the BER vs. Peak power clipping curve, it can be concluded that OFDM is resistant enough to clipping distortion caused by the nonlinearity in the power amplifier used in transmitting the signal.
Design OFDM using Matlab
Design OFDM (Orthogonal Frequency Division Multiplexing modulation) using Matlab code In these images, the performance of the OFDM technique in mobile radio channels has been studied. Its performance in the presence of noise, various fading effects like multipath fading, frequency selective fading, and Doppler Effect has been analyzed. It has been found that: 1. From the BER vs. SNR in a fading channel, it was observed that OFDM is very tolerant of the channel fading effects. Although the BER for higher SNR is somewhat greater in fading channel than an AWGN channel the difference is very less and the two responses are almost similar. Hence it can be concluded that OFDM is suitable for use in a fading channel. 2. From the BER vs. Peak power clipping curve, it can be concluded that OFDM is resistant enough to clipping distortion caused by the nonlinearity in the power amplifier used in transmitting the signal.
Design OFDM using Matlab
Design OFDM (Orthogonal Frequency Division Multiplexing modulation) using Matlab code In these images, the performance of the OFDM technique in mobile radio channels has been studied. Its performance in the presence of noise, various fading effects like multipath fading, frequency selective fading, and Doppler Effect has been analyzed. It has been found that: 1. From the BER vs. SNR in a fading channel, it was observed that OFDM is very tolerant of the channel fading effects. Although the BER for higher SNR is somewhat greater in fading channel than an AWGN channel the difference is very less and the two responses are almost similar. Hence it can be concluded that OFDM is suitable for use in a fading channel. 2. From the BER vs. Peak power clipping curve, it can be concluded that OFDM is resistant enough to clipping distortion caused by the nonlinearity in the power amplifier used in transmitting the signal.
Design OFDM using Matlab
Design OFDM (Orthogonal Frequency Division Multiplexing modulation) using Matlab code In these images, the performance of the OFDM technique in mobile radio channels has been studied. Its performance in the presence of noise, various fading effects like multipath fading, frequency selective fading, and Doppler Effect has been analyzed. It has been found that: 1. From the BER vs. SNR in a fading channel, it was observed that OFDM is very tolerant of the channel fading effects. Although the BER for higher SNR is somewhat greater in fading channel than an AWGN channel the difference is very less and the two responses are almost similar. Hence it can be concluded that OFDM is suitable for use in a fading channel. 2. From the BER vs. Peak power clipping curve, it can be concluded that OFDM is resistant enough to clipping distortion caused by the nonlinearity in the power amplifier used in transmitting the signal.
Design OFDM using Matlab
Design OFDM (Orthogonal Frequency Division Multiplexing modulation) using Matlab code In these images, the performance of the OFDM technique in mobile radio channels has been studied. Its performance in the presence of noise, various fading effects like multipath fading, frequency selective fading, and Doppler Effect has been analyzed. It has been found that: 1. From the BER vs. SNR in a fading channel, it was observed that OFDM is very tolerant of the channel fading effects. Although the BER for higher SNR is somewhat greater in fading channel than an AWGN channel the difference is very less and the two responses are almost similar. Hence it can be concluded that OFDM is suitable for use in a fading channel. 2. From the BER vs. Peak power clipping curve, it can be concluded that OFDM is resistant enough to clipping distortion caused by the nonlinearity in the power amplifier used in transmitting the signal.
Design OFDM using Matlab
Design OFDM (Orthogonal Frequency Division Multiplexing modulation) using Matlab code In these images, the performance of the OFDM technique in mobile radio channels has been studied. Its performance in the presence of noise, various fading effects like multipath fading, frequency selective fading, and Doppler Effect has been analyzed. It has been found that: 1. From the BER vs. SNR in a fading channel, it was observed that OFDM is very tolerant of the channel fading effects. Although the BER for higher SNR is somewhat greater in fading channel than an AWGN channel the difference is very less and the two responses are almost similar. Hence it can be concluded that OFDM is suitable for use in a fading channel. 2. From the BER vs. Peak power clipping curve, it can be concluded that OFDM is resistant enough to clipping distortion caused by the nonlinearity in the power amplifier used in transmitting the signal.
Design OFDM using Matlab
Design OFDM (Orthogonal Frequency Division Multiplexing modulation) using Matlab code In these images, the performance of the OFDM technique in mobile radio channels has been studied. Its performance in the presence of noise, various fading effects like multipath fading, frequency selective fading, and Doppler Effect has been analyzed. It has been found that: 1. From the BER vs. SNR in a fading channel, it was observed that OFDM is very tolerant of the channel fading effects. Although the BER for higher SNR is somewhat greater in fading channel than an AWGN channel the difference is very less and the two responses are almost similar. Hence it can be concluded that OFDM is suitable for use in a fading channel. 2. From the BER vs. Peak power clipping curve, it can be concluded that OFDM is resistant enough to clipping distortion caused by the nonlinearity in the power amplifier used in transmitting the signal.
Design OFDM using Matlab
6367329
Design MIMO-OFDM Wireless Communications with Matlab code. MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems.
Design MIMO-OFDM Wireless Communications with Matlab code
Design MIMO-OFDM Wireless Communications with Matlab code. MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems.
Design MIMO-OFDM Wireless Communications with Matlab code
Design MIMO-OFDM Wireless Communications with Matlab code. MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems.
Design MIMO-OFDM Wireless Communications with Matlab code
Design MIMO-OFDM Wireless Communications with Matlab code. MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems.
Design MIMO-OFDM Wireless Communications with Matlab code
Design MIMO-OFDM Wireless Communications with Matlab code. MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems.
Design MIMO-OFDM Wireless Communications with Matlab code
6367298
Design OFDM (Orthogonal Frequency Division Multiplexing modulation) using Matlab code In these images, the performance of the OFDM technique in mobile radio channels has been studied. Its performance in the presence of noise, various fading effects like multipath fading, frequency selective fading, and Doppler Effect has been analyzed. It has been found that: 1. From the BER vs. SNR in a fading channel, it was observed that OFDM is very tolerant of the channel fading effects. Although the BER for higher SNR is somewhat greater in fading channel than an AWGN channel the difference is very less and the two responses are almost similar. Hence it can be concluded that OFDM is suitable for use in a fading channel. 2. From the BER vs. Peak power clipping curve, it can be concluded that OFDM is resistant enough to clipping distortion caused by the nonlinearity in the power amplifier used in transmitting the signal.
Design OFDM using Matlab
Design OFDM (Orthogonal Frequency Division Multiplexing modulation) using Matlab code In these images, the performance of the OFDM technique in mobile radio channels has been studied. Its performance in the presence of noise, various fading effects like multipath fading, frequency selective fading, and Doppler Effect has been analyzed. It has been found that: 1. From the BER vs. SNR in a fading channel, it was observed that OFDM is very tolerant of the channel fading effects. Although the BER for higher SNR is somewhat greater in fading channel than an AWGN channel the difference is very less and the two responses are almost similar. Hence it can be concluded that OFDM is suitable for use in a fading channel. 2. From the BER vs. Peak power clipping curve, it can be concluded that OFDM is resistant enough to clipping distortion caused by the nonlinearity in the power amplifier used in transmitting the signal.
Design OFDM using Matlab
Design OFDM (Orthogonal Frequency Division Multiplexing modulation) using Matlab code In these images, the performance of the OFDM technique in mobile radio channels has been studied. Its performance in the presence of noise, various fading effects like multipath fading, frequency selective fading, and Doppler Effect has been analyzed. It has been found that: 1. From the BER vs. SNR in a fading channel, it was observed that OFDM is very tolerant of the channel fading effects. Although the BER for higher SNR is somewhat greater in fading channel than an AWGN channel the difference is very less and the two responses are almost similar. Hence it can be concluded that OFDM is suitable for use in a fading channel. 2. From the BER vs. Peak power clipping curve, it can be concluded that OFDM is resistant enough to clipping distortion caused by the nonlinearity in the power amplifier used in transmitting the signal.
Design OFDM using Matlab
Design OFDM (Orthogonal Frequency Division Multiplexing modulation) using Matlab code In these images, the performance of the OFDM technique in mobile radio channels has been studied. Its performance in the presence of noise, various fading effects like multipath fading, frequency selective fading, and Doppler Effect has been analyzed. It has been found that: 1. From the BER vs. SNR in a fading channel, it was observed that OFDM is very tolerant of the channel fading effects. Although the BER for higher SNR is somewhat greater in fading channel than an AWGN channel the difference is very less and the two responses are almost similar. Hence it can be concluded that OFDM is suitable for use in a fading channel. 2. From the BER vs. Peak power clipping curve, it can be concluded that OFDM is resistant enough to clipping distortion caused by the nonlinearity in the power amplifier used in transmitting the signal.
Design OFDM using Matlab
Design OFDM (Orthogonal Frequency Division Multiplexing modulation) using Matlab code In these images, the performance of the OFDM technique in mobile radio channels has been studied. Its performance in the presence of noise, various fading effects like multipath fading, frequency selective fading, and Doppler Effect has been analyzed. It has been found that: 1. From the BER vs. SNR in a fading channel, it was observed that OFDM is very tolerant of the channel fading effects. Although the BER for higher SNR is somewhat greater in fading channel than an AWGN channel the difference is very less and the two responses are almost similar. Hence it can be concluded that OFDM is suitable for use in a fading channel. 2. From the BER vs. Peak power clipping curve, it can be concluded that OFDM is resistant enough to clipping distortion caused by the nonlinearity in the power amplifier used in transmitting the signal.
Design OFDM using Matlab
Design OFDM (Orthogonal Frequency Division Multiplexing modulation) using Matlab code In these images, the performance of the OFDM technique in mobile radio channels has been studied. Its performance in the presence of noise, various fading effects like multipath fading, frequency selective fading, and Doppler Effect has been analyzed. It has been found that: 1. From the BER vs. SNR in a fading channel, it was observed that OFDM is very tolerant of the channel fading effects. Although the BER for higher SNR is somewhat greater in fading channel than an AWGN channel the difference is very less and the two responses are almost similar. Hence it can be concluded that OFDM is suitable for use in a fading channel. 2. From the BER vs. Peak power clipping curve, it can be concluded that OFDM is resistant enough to clipping distortion caused by the nonlinearity in the power amplifier used in transmitting the signal.
Design OFDM using Matlab
Design OFDM (Orthogonal Frequency Division Multiplexing modulation) using Matlab code In these images, the performance of the OFDM technique in mobile radio channels has been studied. Its performance in the presence of noise, various fading effects like multipath fading, frequency selective fading, and Doppler Effect has been analyzed. It has been found that: 1. From the BER vs. SNR in a fading channel, it was observed that OFDM is very tolerant of the channel fading effects. Although the BER for higher SNR is somewhat greater in fading channel than an AWGN channel the difference is very less and the two responses are almost similar. Hence it can be concluded that OFDM is suitable for use in a fading channel. 2. From the BER vs. Peak power clipping curve, it can be concluded that OFDM is resistant enough to clipping distortion caused by the nonlinearity in the power amplifier used in transmitting the signal.
Design OFDM using Matlab

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Education

Master of Science in Electrical Engineering (Telecommunications) from Karary University.

Sudan 2011 - 2014
(3 years)

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