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

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.

Authors

Institutions

Publication Details

Journal
International Journal of Electrical and Electronics Research
Published
2024-12-15
DOI
https://doi.org/10.37391/ijeer.120424
Citations
2
Primary Topic
PAPR reduction in OFDM
Type
article
Field-Weighted Citation Impact
0.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

R. Anil Kumar, K. Kalyani, Ramesh Adireddy, Surya Kala Nagireddi et al.
2 citations
International Journal of Electrical and Electronics Research
PAPR reduction in OFDM
0.42
article

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

R. Anil Kumar, K. Kalyani, Ramesh Adireddy, Surya Kala Nagireddi, Bahadursha P V V B Narasimha Rao, Srinivas Thirumala
article en
2 citations

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.

International Journal of Electrical and Electronics ResearchVol. 12(4)
GIET University (IN), Aditya Birla (India) (IN)
Affordable and clean energy
Openalex Percentile: Top 36%
PAPR reduction in OFDM
0.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.