Simulation study of M-ARY QAM modulation techniques using Matlab/Simulink

Sadinov, Stanimir

doi:10.23919/mipro.2017.7973486

Cited by 13 publications

(4 citation statements)

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“…Thus, in 256-QAM, the performance of In Figure 4, 64-QAM is used with the same value of N. The effect of increasing the M-ary appears as the BER increases with the modulation order. This is because the constellation becomes closer to each other [16]. This appears at BER = 10 −3 , where the difference in SNR between the proposed system and OTDM system is approximately equal to 5 dB, where the SNR of the proposed system is 22.5 dB and 10 dB at 64-QAM and QPSK, respectively, at BER = 10 −3 .…”

Section: Simulation Resultsmentioning

confidence: 83%

Time Coding OTDM MIMO System Based on Singular Value Decomposition for 5G Applications

et al. 2019

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For 5G and beyond cellular communication systems, new coding and modulation techniques are suggested to reach the requirements of high data rate and quality of service. In this paper, a new space-time coded orthogonal transform division multiplexing (STC OTDM) technique is proposed for 5G applications. The proposed system is used to enhance the data rate and performance of the orthogonal transform division multiplexing (OTDM) technique. The proposed system is based on using space-time coding (STC) with OTDM to increase the system diversity and consequently the system performance. The OTDM technique is based on transmitting data on orthogonal basis functions obtained from the Singular Value Decomposition (SVD) of the channel impulse response of the desired user. Various modulation techniques like QPSK, 64-QAM, and 256-QAM are investigated using different subcarriers and channel models. The simulation results show that the proposed system achieved a better performance when compared to classical and recent multicarrier techniques. The proposed technique increases the diversity gain resulting in a decrease in the fading effect of the multipath channel and an enhancement in the bit error rate (BER) performance. The proposed technique also provides a secure data transmission to the desired user as his data is sent on the basis functions extracted from his own channel impulse response that cannot be decoded by other users.

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Section: Simulation Resultsmentioning

confidence: 83%

Time Coding OTDM MIMO System Based on Singular Value Decomposition for 5G Applications

et al. 2019

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“…The degrees of freedom offers by the envelopes allows the mapping of the baseband data onto different levels of the carrier signal (2,4,8,16 etc.) [16,17]. As a result, the schemes that provided this breakthrough are referred to as M-ary modulation.…”

Section: Review Of M-ary Psk and M-ary Qam Modulation Schemesmentioning

confidence: 99%

“…, where m represents the number of bits per symbol. The names given to these schemes are driven from manipulation carried out on the amplitude to produce ASK, frequency to produce FSK, and phase to produce PSK [17][18][19][20]. As the core technology in data communications, digital modulation schemes have a wide range of applications [3].…”

Section: Review Of M-ary Psk and M-ary Qam Modulation Schemesmentioning

confidence: 99%

“…The term Additive White Gaussian Noise (AWGN) refers to the noise that is added to the signal during transmission from the source to the destination. Therefore, AWGN symbolises the collective effect of thermal noise produced by the thermal movement of excited electrons in electrical devices such as resistors, wires etc [17,23]. The word white signifies that the noise has a horizontal effect on both positive and negative frequencies [17].…”

Section: Additive White Gaussian Noise (Awgn)mentioning

confidence: 99%

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A Comprehensive Analysis of M-ary PSK and M-ary QAM Schemes

Balarabe

Rufa’i

Hassan

et al. 2021

AJRCoS

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In the last few decades, data communication has recorded massive improvements. These improvements were brought about by advancement in digital circuitry, its availability and persistent reduction in cost. Before the advancement of digital communication technology, analogue communication was the dominant means of transmitting data. As the internet expands across the globe, the need to transfer data over long distances increases. However, the major problem with analogue communication is that the quality of signals is lost with distance. Also, it has minimal security and does not support data integration. Digital communications provided an alternative to analogue communication. Today, digital modulations have become part and parcel of the present and future communication technologies. Despite the advantages of these schemes, the traditional channel impairments, such as noise, can affect their performance. Moreover, data transmission is mostly done over wireless channels, which are very unpredictable and are characterised by multipath fading effects. This paper presents a short research article that presents a study of digital modulation schemes (M-ary QAM and M-ary PSK) using MATLAB/Simulink under Additive White Gaussian Noise (AWGN). The result shows that, among the three modulation schemes compared, QAM has the best BER performance with minimal energy consumption.

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Performance Analysis of MIMO and Massive MIMO with Rayleigh, Rician and Nakagami Channels

Joann

Rajamani

2021

Advances in Intelligent Systems and Computing

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Simulation study of M-ARY QAM modulation techniques using Matlab/Simulink

Cited by 13 publications

References 1 publication

Time Coding OTDM MIMO System Based on Singular Value Decomposition for 5G Applications

Time Coding OTDM MIMO System Based on Singular Value Decomposition for 5G Applications

A Comprehensive Analysis of M-ary PSK and M-ary QAM Schemes

Performance Analysis of MIMO and Massive MIMO with Rayleigh, Rician and Nakagami Channels

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