f Symbol Interference Cancellation in MIMO-GFDM Using Singular Value Decomposition Technique for 5G
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Research Article |

Symbol Interference Cancellation in MIMO-GFDM Using Singular Value Decomposition Technique for 5G

Author(s): R. Anil Kumar*, Adireddy Ramesh, Srinivas Thirumala, Bahadursha P V V B Narasimha Rao, Surya Kala Nagireddi, and K. Kalyani

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 4

Publisher : FOREX Publication

Published : 15 December 2024

e-ISSN : 2347-470X

Page(s) : 1324-1331

DOI: https://doi.org/10.37391/IJEER.120424

Abstract

The Physical layer (PHY) is implemented with the new Generalized Frequency Division Multiplexing (GFDM) scheme to increase the throughput of wireless systems in the present communication era. The GFDM system is combined with Multi-Input and Multi Output antenna system (MIMO GFDM) to achieve higher channel capacity and low out-of-coverage probability. Therefore, the MIMO-GFDM system is suffering from internal Inter-Carrier-Interference (ICI) and external Inter-Symbol-Interference (ISI) at the receiver. This makes the receiver design more complex and challenging. Therefore, to cancel the symbol interference in the MIMO-GFDM system, we have proposed a Singular Value Decomposition (SVD) based Zero-Forcing detection scheme for future wireless communications. To decouple unwanted symbols from the transmitted signal, we employed the precoding technique at the transmitter section and the weighted beam forming technique at the receiver section. Furthermore, a famous Water Filling Algorithm (WFA). The proposed scheme reduces the bit error rate to 1.98×10⁻⁴ at 10 dB, outperforming existing detection methods. The WFA improves power allocation efficiency, enhancing channel capacity by up to 3.74 bps/Hz/u in 4x4 MIMO setups.

Keywords: Generalized Frequency Division Multiplexing, Inter-Carrier-Interference, Inter-Symbol-Interference, Multi-Input and Multi Output, Singular Value Decomposition, Water Filling Algorithm.




R. Anil Kumar*, Department of Electronics and Communications Engineering, Aditya University, Surampalem, India; Email: anidecs@gmail.com

Adireddy Ramesh, Department of Electrical and Electronics Engineering, Aditya University, Surampalem, India; Email: rameshadireddy007@gmail.com

Srinivas Thirumala, Department of ECE, GIET Engineering College (A), Rajamahendravaram -533296, East Godavari District, A.P., India; Email: thirumala.gec@gmail.com

Bahadursha P V V B Narasimha Rao, Lecturer in Physics, Government College (A), Rajamahendravaram, India; Email: pavann195@gmail.com

Surya Kala Nagireddi, Department of Information Technology, Aditya University, Surampalem, India; Email: kala.nagireddi@gmail.com

K. Kalyani, Department of Electronics and Communications Engineering, Aditya University, Surampalem, India; Email: kalyani.kapula@gmail.com

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R. Anil Kumar, Adireddy Ramesh, Srinivas Thirumala, Bahadursha P V V B Narasimha Rao, Surya Kala Nagireddi, and K. Kalyani (2024), Symbol Interference Cancellation in MIMO-GFDM Using Singular Value Decomposition Technique for 5G. IJEER 12(4), 1324-1331. DOI: 10.37391/ijeer.120424.