Joint low‐complexity equalisation and CFO compensation for DCT–OFDM communication systems based on SIC

Ramadan, Khaled; Dessouky, Moawad I.; El‐Samie, Fathi E. Abd

doi:10.1049/iet-com.2019.0740

Cited by 9 publications

(6 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In case of complex matrices, this corresponds to 8 N 3 operations. Using the banded‐matrix approximation concept, the number of arithmetic operations is reduced, which leads to high reduction in the computational complexity of the equalization process 43 . Table 3 summarizes the number of arithmetic operations in the case of banded‐matrix approximation.…”

Section: Complexity Evaluationmentioning

confidence: 99%

On the performance of joint low‐complexity equalization and CFO compensation for SISO‐OFDM communication systems with chaotic interleaving and DCT

Ramadan

Alturki

Dessouky

et al. 2021

Int J Communication

Self Cite

View full text Add to dashboard Cite

The implementation of the Orthogonal Frequency Division Multiplexing (OFDM) can be achieved using Inverse Discrete Cosine Transform (IDCT), and DCT instead of Inverse Discrete Fourier Transform (IDFT), and DFT. The Carrier Frequency Offset (CFO) is the main issue of the OFDM system. One of the tools to mitigate the CFO effect and improve the Bit-Error-Rate (BER) performance is the equalization procedure. Also, the 1-Dimension (1-D), and 2-Dimension (2-D) burst errors can be mitigated using a chaotic interleaver in the OFDM system. This consequently improves the BER performance. In this paper, we propose a Joint Low-Complexity Regularized Linear Zero Forcing (JLCRLZF) equalizer for the OFDM system based on DCT in addition to a chaotic interleaving scheme. The proposed equalizer depends on the concept of the banded-matrix approximation, and jointly performs the equalization and CFO compensation processes. Simulation results ensure the importance of the proposed JLCRLZF equalizer compared to other algorithms.

show abstract

Section: Complexity Evaluationmentioning

confidence: 99%

On the performance of joint low‐complexity equalization and CFO compensation for SISO‐OFDM communication systems with chaotic interleaving and DCT

Ramadan

Alturki

Dessouky

et al. 2021

Int J Communication

Self Cite

View full text Add to dashboard Cite

show abstract

“…The linear equalization techniques commonly used are linear zero forcing (LZF), linear minimum mean square error (LMMSE), and linear regularized zero forcing (LRZF) 17 . The LMMSE equalizer mitigates the noise amplification through the SNR knowledge, while LRZF uses a regularization term to mitigate noise amplification at lower‐complexity 18 . In Reference 19, a joint low‐complexity (JLC) equalization using banded‐matrix approximation (BMA) was studied to reduce complexity in uplink transmission.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we adopt BMA for joint equalization and CFO compensation using JLC‐LRZF for SC‐FDMA NOMA systems. In this paper, the JLC‐LRZF scheme proposed in Reference 18 for DCT‐OFDM is investigated for SC‐FDMA NOMA system. DCT based SC‐FDMA systems has superior performance over DFT based SC‐FDMA systems due to its energy‐compaction property, where the signal energy is distributed over a smaller number of low‐index subcarriers.…”

Section: Introductionmentioning

confidence: 99%

“…It closely realizes lower BER with low complexity. Furthermore, we investigate JLC‐LRZF scheme proposed in Reference 18 for DCT‐OFDM for SC‐FDMA NOMA system to realize better BER performance with low complexity. Moreover, we observe the BER performance using low‐complexity SIC receiver structure for detecting the weak user under CFO variations. We evaluate the CFO problem in DCT SC‐FDMA NOMA system under varying random multipath channels using low complexity BMA.…”

Section: Introductionmentioning

confidence: 99%

“…17 The LMMSE equalizer mitigates the noise amplification through the SNR knowledge, while LRZF uses a regularization term to mitigate noise amplification at lower-complexity. 18 In Reference 19, a joint low-complexity (JLC) equalization using banded-matrix approximation (BMA) was studied to reduce complexity in uplink transmission. In BMA, the bandwidth of interference matrix used for equalization at the receiver is minimized without degrading BER performance.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Low‐complexity joint equalization and CFO compensation in uplink SC‐FDMA NOMA system under different power allocation strategies

Judson

Portia

Livingston

2023

Trans Emerging Tel Tech

View full text Add to dashboard Cite

In current wireless systems, the claim for rapid data services has become unavoidable in broadband communication. Single carrier frequency division multiple access (SC‐FDMA) has remained a multiple access (MA) technique with low peak‐to‐average power ratio (PAPR) in 4G systems. Non‐orthogonal multiple access (NOMA) is a complimentary MA technique in the fifth generation (5G) new radio with the capability of using similar frequency elements for multiuser communication within a single cellular system. In SC‐FDMA NOMA systems the carrier frequency offsets (CFO) destroy the orthogonal behavior in multiple carriers during transmission leading to inter‐carrier interference (ICI) and multiple access interference (MAI). Furthermore, the power allocated for each user in the NOMA cluster exhibits a noticeable part in enhancing the performance of the system. In this article, we propose a joint low‐complexity linear regularized zero forcing (JLC‐LRZF) for SC‐FDMA NOMA system and investigate its performance using discrete Fourier transform (DFT) and discrete cosine transform (DCT). The proposed JLC‐LRZF equalization algorithm is capable of performing equalization and CFO compensation with low‐complexity with banded‐matrix approximation (BMA). Additionally, we investigate the effectiveness of SC‐FDMA NOMA system in achieving improved performance with different values of CFO and power allocation policies in uniform random multipath channels.

show abstract

A Low Complexity CFO Reduction Technique for LFDMA Systems

Nair¹,

Pillai²

2022

Communications in Computer and Information Science

View full text Add to dashboard Cite

Joint low‐complexity equalisation and CFO compensation for DCT–OFDM communication systems based on SIC

Cited by 9 publications

References 50 publications

On the performance of joint low‐complexity equalization and CFO compensation for SISO‐OFDM communication systems with chaotic interleaving and DCT

On the performance of joint low‐complexity equalization and CFO compensation for SISO‐OFDM communication systems with chaotic interleaving and DCT

Low‐complexity joint equalization and CFO compensation in uplink SC‐FDMA NOMA system under different power allocation strategies

A Low Complexity CFO Reduction Technique for LFDMA Systems

Contact Info

Product

Resources

About