Novel Spectral Efficient Technique for MIMO-OFDM Channel Estimation with Reference to PAPR and BER Analysis

Bhandari, Renuka; Jadhav, Sangeeta

doi:10.1007/s11277-018-6077-7

Cited by 17 publications

(9 citation statements)

References 11 publications

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“…Bhandari and Jadhav 25 introduce a MIMO‐OFDM system for estimating channels for BER and PAPR reduction analysis. This method introduced a hybrid independent component analysis (HICA)‐based channel estimation technique.…”

Section: Related Workmentioning

confidence: 99%

A novel Block Bi‐diagonalization based pre‐coding scheme for bit error reduction in mutiple input multiple output‐orthogonal frequency division multiplexing

Paul

Roy

Bhattacharjee

2023

Int J Communication

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The MIMO-OFDM increases spectral efficiency without the use of channel state information (CSI). However, the bit error rate (BER) in the MIMO-OFDM model increases dramatically due to the increase in nonlinear distortion in the power amplifier (PA). In this research, a novel pre-coder integrated MIMO-OFDM technology is designed for effective BER reduction, and its performance is analyzed. The discrete wavelet-based OFDM system is one of the key ideas to present good orthogonal by emphasizing orthogonal wavelets. It helps to mitigate inter-symbol interference (ISI) and noise within the channel by extending the bandwidth (BW) compared to conventional OFDM systems. But, DWT-OFDM highly suffered due to downsampling, which degrades system efficiency. To overcome this, a redundant discrete wavelet transform (RDWT) is proposed in this article to enhance spectral efficiency. For modulation, 16-bit quadrature amplitude modulation (QAM) is introduced in this work. In addition to this, a block bi-diagonalization (BBD) pre-coder technique is proposed to mitigate unwanted noise and interference in the MIMO-OFDM system. The performance measures such as ergodic sum capacity, BER, throughput, average jitter noise power, mean square error (MSE), and power consumption are analyzed using the MATLAB platform. The proposed method obtains the ergodic sum capacity of 6.25 bps/Hz, a BER of 0.021, a throughput of 95.2%, MSE of À0.47, and a power consumption of 1.15 μW. The simulative results prove the efficacy of the proposed method.16-bit QAM, bit error rate reduction, block bi-diagonalization pre-coder, MIMO-OFDM, redundant discrete wavelet transform | INTRODUCTIONThe design of the future wireless system is one of the key areas of interest for researchers and scientists. 1 Nowadays, the number of users increases due to the tremendous growth of wireless applications. Hence, an effective communication system is highly required under cost and low hardware complexity. The MIMO model is one of the efficient communication systems that can integrate multiple users and allocate effective channels for smooth communication. The MIMO antenna consists of multiple transmitting and receiving antennas widely used in wireless communications

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Section: Related Workmentioning

confidence: 99%

A novel Block Bi‐diagonalization based pre‐coding scheme for bit error reduction in mutiple input multiple output‐orthogonal frequency division multiplexing

Paul

Roy

Bhattacharjee

2023

Int J Communication

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“…Bhandari [16] exhibited another channel gauge procedure since the predominant channel gauge techniques were not adequate to determine the ISI issue. The projected assessment was joined with Independent Component Analysis (ICA) consequently this technique is called Hybrid ICA (HICA) to limit the ISI impact.…”

Section: Literature Reviewmentioning

confidence: 99%

“…𝑟 𝑖𝑗 = |𝑝 𝑖 − 𝑝 𝑗 | = √∑ 𝑝 𝑖,𝑘 − 𝑝 𝑗,𝑘 2 𝑙 𝑘=1 (16) Where 𝑝 𝑖,𝑘 is three-dimensional harmonize 𝑝 𝑖 . The effort is defined by Eq.…”

Section: Improved Firefly Algorithmmentioning

confidence: 99%

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Analysis of PAPR and BER Reduction in MIMO-OFDM using Hybrid Moth Flame-Improved Firefly Algorithm

2022

IJIES

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The hybrid innovation of Orthogonal Frequency Division Multiplexing (OFDM) through Multiple-Input Multiple-Output (MIMO) delivers a feasible substitute to increase the Quality of Service (QoS) to accomplish better data rate and spectral efficiency for the transmission network. An extraordinary Peak-to-Average Power Ratio (PAPR) and Bit Error Rate (BER) are the important parameters that can be considered in the analysis of the MIMO-OFDM network. Partition Transmit Sequences (PTSs) is one of the capable procedures and direct methods to attain a reasonable PAPR performance. However, it needs a serious restoration process to discover the vital features that produce a computational multi-layered design with sub-blocks. Here, a reduced computational complexity PTS scheme is proposed which is completely depends on the hybrid procedure named as Moth Flame Optimization with Improved Firefly Algorithm (MFO-IFFA). The simulation outcomes demonstrated the capability of the proposed MFO-IFFA approach decreases the PAPR reduction up to 3.6 dB. Similarly, the proposed MFO-IFFA overcomes the significant evolutionary procedures mentioned in the existing works such as Additive Signal Mixing (ASM), Adaptive Simplified Optimized Iterative Clipping and Filtering (ASOICF) and Hybrid Independent Component Analysis (HICA).

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“…However, critical work has been conducted in the previous years to help the potential addition of this arrangement of strategies to current 5G networks [202,203]. Different techniques, such as beamforming, Spatial Division Multiple Access (SDMA), and spatial multiplexing, have been utilized in M-MIMO [204][205][206]. It straightforwardly enhances system throughput and bandwidth efficiency [207].…”

Section: M-mimomentioning

confidence: 99%

Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks

et al. 2020

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With an extensive growth in user demand for high throughput, large capacity, and low latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing the inherent limitations of the system, as compared with its original premises. Such limitations are encouraging researchers worldwide to focus on next-generation 6G wireless systems, which are expected to address the constraints. To meet the above demands, future radio network architecture should be effectively designed to utilize its maximum radio spectrum capacity. It must simultaneously utilize various new techniques and technologies, such as Carrier Aggregation (CA), Cognitive Radio (CR), and small cell-based Heterogeneous Networks (HetNet), high-spectrum access (mmWave), and Massive Multiple-Input-Multiple-Output (M-MIMO), to achieve the desired results. However, the concurrent operations of these techniques in current 5G cellular networks create several spectrum management issues; thus, a comprehensive overview of these emerging technologies is presented in detail in this study. Then, the problems involved in the concurrent operations of various technologies for the spectrum management of the current 5G network are highlighted. The study aims to provide a detailed review of cooperative communication among all the techniques and potential problems associated with the spectrum management that has been addressed with the possible solutions proposed by the latest researches. Future research challenges are also discussed to highlight the necessary steps that can help achieve the desired objectives for designing 6G wireless networks.

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Novel Spectral Efficient Technique for MIMO-OFDM Channel Estimation with Reference to PAPR and BER Analysis

Cited by 17 publications

References 11 publications

A novel Block Bi‐diagonalization based pre‐coding scheme for bit error reduction in mutiple input multiple output‐orthogonal frequency division multiplexing

A novel Block Bi‐diagonalization based pre‐coding scheme for bit error reduction in mutiple input multiple output‐orthogonal frequency division multiplexing

Analysis of PAPR and BER Reduction in MIMO-OFDM using Hybrid Moth Flame-Improved Firefly Algorithm

Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks

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