A Joint Equalization and Decoding Technique for Multiuser Massive MIMO Uplink System With Transmitter and Receiver RF Impairments Under Doubly Selective Channels

S., Sanoopkumar P.; Muneer, P.; Sameer, S. M.

doi:10.1109/jsyst.2022.3176549

IEEE Systems Journal

2022

DOI: 10.1109/jsyst.2022.3176549

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A Joint Equalization and Decoding Technique for Multiuser Massive MIMO Uplink System With Transmitter and Receiver RF Impairments Under Doubly Selective Channels

Sanoopkumar P. S.

P. Muneer

S. M. Sameer

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Cited by 3 publications

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Reliable communication based on energy spreading transform and iterative detection in MIMO‐OFDM systems

He,

Xu,

et al. 2024

IET Communications

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The challenge of ensuring reliability for high‐efficiency technology, multiple‐input‐multiple‐output orthogonal‐frequency‐division‐multiplexing (MIMO‐OFDM), in wireless frequency‐selective fading environments persists. In this article, the concept of spreading a symbol's energy is proposed as a viable solution to enhance transmission reliability for MIMO‐OFDM systems. And an energy‐spreading‐transform (EST)‐based MIMO‐OFDM transceiver is developed. Following the Inverse Fast Fourier Transform (IFFT) performed by the conventional MIMO‐OFDM transmitter, an orthogonal transformation called the EST is introduced. This transform spreads the energy of a symbol across the entire frequency domain and all time slots. The EST is coupled with the improved iterative detection algorithm named EST‐partial decision (PD)‐iterative‐interference‐cancellation (EST‐PD‐IIC) to maximize and leverage the potential diversity gain. Numerical simulation results demonstrate that the proposed scheme approaches the performance bound when signal‐to‐noise ratio (SNR) is about 21dB for 16‐ary quadrature amplitude modulation (16‐QAM). Complexity analysis illustrates that the computational complexity of the evolved EST‐PD‐IIC algorithm is lower than that of the famous vertically Bell laboratory layered space‐time detector (V‐BLAST) when the antenna array size is greater than . In summary, the proposed scheme is practical for providing high‐quality communication in multi‐path fading environments and can even enable a reliable communication without channel encoding when Eb/N0 exceeds a threshold in 5G‐Advanced.

show abstract

Reliable communication based on energy spreading transform and iterative detection in MIMO‐OFDM systems

He,

Xu,

et al. 2024

IET Communications

View full text Add to dashboard Cite

show abstract

Tensor MIMO Perfect-Equalizer Design Using New Projection-Based Method and Approximation-Error Analysis

Chang,

Wu,

Kao

2024

IEEE Systems Journal

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Semi-Supervised ML-Based Joint Channel Estimation and Decoding for m-MIMO With Gaussian Inference Learning

Soares,

Mayer,

Arantes

2023

IEEE Wireless Commun. Lett.

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A Joint Equalization and Decoding Technique for Multiuser Massive MIMO Uplink System With Transmitter and Receiver RF Impairments Under Doubly Selective Channels

Cited by 3 publications

References 29 publications

Reliable communication based on energy spreading transform and iterative detection in MIMO‐OFDM systems

Reliable communication based on energy spreading transform and iterative detection in MIMO‐OFDM systems

Tensor MIMO Perfect-Equalizer Design Using New Projection-Based Method and Approximation-Error Analysis

Semi-Supervised ML-Based Joint Channel Estimation and Decoding for m-MIMO With Gaussian Inference Learning

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