Bit Error Rate Analysis of OFDM (original) (raw)
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Simulation and Bit Error Rate Performance Analysis of 4G OFDM Systems
2009
In this paper a simulation based system developed for analysis and Bit Error Rate (BER) performance measurement of Orthogonal Frequency Division Multiplexing (OFDM) systems. This paper involves the basics of OFDM system. In this paper bit error rate is calculated and measured with respect to Signal to Noise Ratio (SNR), Doppler Effect, and guard interval. BPSK, QPSK and 16PSK are used as modulation techniques. Additive White Gaussian Noise (AWGN) is used as a communication channel. The effect of SNR, Doppler Effect, and guard intervals on OFDM signals improves the system performance. Index Terms -AWGN, Bit Error Rate (BER), Doppler Effect, Guard interval, OFDM, Signal-to-Noise Ratio (SNR).
Mimo Channel and Performance Analysis using OFDM System for Reduced Bit Error Rate
ABC Research Alert, 2015
Multiple-input Multiple-output (MIMO) systems use multiple antennas at the transmitter and receiver end, are a key technology to meet the growing demand for high data rate wireless systems. The aim of this thesis is to investigate MIMO system capacity with the aim of achieving optimum Bit Error Rate (BER) while increasing the system capacity using multicarrier delay diversity modulation (MDDM), proposed for fifth generation systems. In principle, the capacity of MIMO system can increase linearly with the number of antennas. Multiple antennas at the transmitter and receiver provide diversity in a fading environment. Furthermore, the research work in this thesis consists of different investigations of the basic principle of MIMO, Multiple-input Single-output (MISO) and Single-input Single-output (SISO) wireless communication systems with Space Time Codes (STC). A MISO systems and MIMO systems are schematized using MDDM which incorporated with Orthogonal Frequency Division Multiplexing (OFDM). OFDM is chosen over a single-carrier solution due to lower complexity of equalizers for high delay spread channels or high data rates. The design is implemented with binary Phase Shift Keying (BPSK) and simulated using MATLAB, which is examined in associated Additive White Gaussian Noise (AWGN) channel. The receiver-design is included with the maximal ratio combiner (MRC) receiving technique with perfect wisdom of channel state information (CSI). The theoretical performance is derived for AWGN channels and compared with the simulated results as well as compared between each system to another.
MIMO is a system where a number of antennas are used at the transmitter and receiver side. A MIMO system takes advantage of the spatial diversity that is obtained by spatially separated antennas in a dense multipath scattering environment. The combination of OFDM systems with MIMO technology has provided us with increase in link reliability and an improvement in spectral efficiency. For 4G communication MIMO-OFDM is one of the most competitive technologies. The combination of OFDM and MIMO seems to be very promising when aiming at the design of very high-rate wireless mobile systems. This paper takes into consideration both these system and proposes a way for Ber-Analysis of the two system combined
BER Calculation Using MATLAB Simulation for OFDM Transmission
Orthogonal frequency division multiplex (OFDM) modulation is being used more and more in telecommunication, wired and wireless. DVB and DAB already use this modulation technique and ADSL is based on it. The advantages of this modulation are the reason for its increasing usage. OFDM can be implemented easily, it is Spectraly efficient and can provide high data rates with sufficient robustness to channel imperfections. The purpose of this paper is to use a Matlab simulation of OFDM to see how the Bit Error Ratio (BER) of a transmission varies when Signal to Noise Ratio (S/N Ratio) and Multipropagation effects are changed on transmission channel.
International Journal of Mobile Network Communications & Telematics, 2014
Today, we have required to accommodate a large number of users under a single base station. This can be possible only if we have some flexibility over the spectrum. Previously we have lots of multiplexing methods to accommodate large number of signals in time and frequency domain. But now we have required to accommodate a large number of users in the same bandwidth, without any fading over the received signal. So, orthogonality can be maintained over the frequency response. This technology is now more popular in the mobile communication domain, called Orthogonal Frequency Division Multiplexing (OFDM). Actually user data can be converted into the parallel form and then they are modulated using digital modulation techniques. Finally, they have followed by OFDM Modulator and cyclic prefix can be inserted into the OFDM symbols. Here, I have worked on the measurement of Bit error rate for different modulation techniques in OFDM technology. It has been considered that subchannel size is not constant. According to that I have concluded the overall idea regarding the performance under OFDM technology.
In this paper we have investigated the performance of OFDM-MIMO wireless system. The main objective of this paper is to introduce the basic structure of OFDM and MIMO, including the basic implementation of a MIMO model using OSTBC scheme, the effectiveness of introducing encoders and interleavers in a OFDM-MIMO system, the transmitter and receiver modeling of OFDM, and hence constructing a simple OFDM-MIMO wireless communication system in WLAN and Wi-Fi context with 16-QAM modulation composed of transmitter, channel, receiver, and so on. The system performance is simulated by using the software MATLAB. All the models are being studied for different configurations, that is, for different number of antennas at the transmitter and receiver of the communication system. The results are obtained and compared in terms of Bit Error Rate (BER), Throughput and Bandwidth.
BER Performance Analysis of MIMO-OFDM Over Wireless Channel
2018
In this paper we propose a method for multiple input and multiple output orthogonal space time block coded orthogonal frequency division multiplexing system. This system is design to achieve high data rate without increasing the bandwidth of the channel and simultaneously increase in capacity range along with reliability in wireless communication system. Proposed method is used to maintain the orthogonality of wireless channel in MIMO-OFDM system with two transmit and arbitrary number of receive antennas. Orthogonality is most essential, so that the channels may remain un correlated, due to this condition, interference do not occurs between the data transmitted through wireless channel and also at receiver end ML and MMSE equalizer are used thus achieved performance improvement is compared .Which is evaluated through simulation.
BER performance analysis of OFDM-MIMO system using GNU Radio
MATEC Web of Conferences, 2016
Multiple Input Multiple Output (MIMO) channels can be used to increase the data rate and the channel capacity by employing multiple transmitting and receiving antennas at both the ends of a wireless communication system. MIMO systems employ Orthogonal Frequency Division Multiplexing (OFDM) technique and it uses separate antennas at both the transmitter and receiver to increase the data rate and with OFDM, instead of a single carrier, the main information is modulated into a number of independent sub-carrier signals which are orthogonal to each other. This paper presents an OFDM-MIMO transceiver design and the performance analysis of the system based on Error rate for different modulation techniques using GNU Radio. OFDM is chosen over a single carrier solution due to lower complexity of equalizers for high delay spread channels or high data rates. So the combination of MIMO-OFDM system has become a potential technology for high speed data transmission and efficient utilization of the channel spectrum for the modern wireless communication networks.
BER ANALYSIS OF MIMO-OFDM SYSTEM
MIMO is a system where a number of antennas are used at the transmitter and receiver side. A MIMO system takes advantage of the spatial diversity that is obtained by spatially separated antennas in a dense multipath scattering environment. The combination of OFDM systems with MIMO technology has provided us with increase in link reliability and an improvement in spectral efficiency. For 4G communication MIMO-OFDM is one of the most competitive technologies. The combination of OFDM and MIMO seems to be very promising when aiming at the design of very high-rate wireless mobile systems. This paper takes into consideration both these system and proposes a way for Ber-Analysis of the two system combined