Advanced Wireless Communications for Future Technologies-6G and beyond 6G

Kiran, S. S.; Babu, M. Rajan; Kiranmai, B.; Gurucharan, K.

doi:10.1201/9781003230526-1

Cited by 5 publications

(3 citation statements)

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“…While BC technology has already seen benefits in the IoT, with its energy-efficient and cost-effective approach to communication proving to be an attractive solution for battery-free and low-power devices, the intelligence aspect of BC systems is still in its infancy. The potential for improvement is vast, as discussed in [17], [18]. AI can be utilized to solve the challenges that BC systems face, such as poor signal detection and channel estimation, and to mitigate the impact of jamming/interference while ensuring security.…”

Section: Introductionmentioning

confidence: 99%

The State of AI-Empowered Backscatter Communications: A Comprehensive Survey

Ahmed¹,

Hussain²,

Ali³

et al. 2023

Preprint

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<p>This paper brings these two technologies together to investigate the current state of AI-powered BC. </p> <p>We begin with an introduction to BC and an overview of the AI algorithms employed in BC. Then, we delve into the recent advances in AI-based BC, covering key areas such as backscatter signal detection, channel estimation, and jammer control to ensure security, mitigate interference, and improve throughput and latency. We also explore the exciting frontiers of AI in BC using B5G/6G technologies, including backscatter-assisted relay and cognitive communication networks, backscatter-assisted MEC networks, and BC with RIS, UAV, and vehicular networks. Finally, we highlight the challenges and present new research opportunities in AI-powered BC. This survey provides a comprehensive overview of the potential of AI-powered BC and its insightful impact on the future of IoT.</p>

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Section: Introductionmentioning

confidence: 99%

The State of AI-Empowered Backscatter Communications: A Comprehensive Survey

Ahmed¹,

Hussain²,

Ali³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…While BC technology has already seen benefits in the IoT, with its energy-efficient and cost-effective approach to communication proving to be an attractive solution for battery-free and low-power devices, the intelligence aspect of BC systems is still in its infancy. The potential for improvement is vast, as discussed in [17], [18]. AI can solve BC systems' challenges, such as poor signal detection and channel estimation, and mitigate the impact of jamming/interference while ensuring security.…”

Section: Introductionmentioning

confidence: 99%

The State of AI-Empowered Backscatter Communications: A Comprehensive Survey

Hussain

Ahmed

et al. 2023

IEEE Internet Things J.

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“…Finally achieved 100% utilization rate for implementing FFT processor and concentrated on Energy consumption and chip area[19][20]. Understanding MATLAB SIMULINK & Xilinx EDA tool environment; programmed chips are used for 6T Static Random-Access Memory cell, the approach of FFT for frequency domain, delay & latency observations and Coding of VHDL using Xilinx[21][22][23][24][25][26][27][28][29][30][31].…”

mentioning

confidence: 99%

VLSI Implementation of Integrated Massive MIMO Systems (IMMS) for N-point FFT/IFFT Processor

Babburu¹,

Kiran²,

Vadda

et al. 2022

IJEER

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The 5G technologies and OFDM introduce a substantial element of latency in the baseband Massive MIMO system. To declaim the low delay demand of multiple input and multiple outputs, a Fast Fourier Transform (FFT) and also consequent implementation was proposed. The main idea of this proposed system is to utilize the VLSI chip routing technology and reduce computations, processing time, and low latency. This proposed system is to reduce the number of computational complexities in the downlink and reorder the uplink. In OFDM implementation, the chip area of FFTs and IFFTs is occupied by memories, and these memories can be extracted using registers or RAM. An efficient data programming approach for memories and butterflies has been developed using embedded VLSI technology with multiple inputs and outputs (MIMO), known as mass embedded MIMO systems. Using this proposed scheme (Integrated Massive MIMO), N point FFT/IFFT processor design achieves a better throughput and lowest latency than for single-input pipelined FFT or IFFT architectures. In an N-point FFT/IFFT, the introduced scheme using VLSI Technology leads to more reduction in the latency. This N-point FFT/IFFT implementation is named “Integrated Massive MIMO Systems” (IMMS).

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Advanced Wireless Communications for Future Technologies-6G and beyond 6G

Cited by 5 publications

References 0 publications

The State of AI-Empowered Backscatter Communications: A Comprehensive Survey

The State of AI-Empowered Backscatter Communications: A Comprehensive Survey

The State of AI-Empowered Backscatter Communications: A Comprehensive Survey

VLSI Implementation of Integrated Massive MIMO Systems (IMMS) for N-point FFT/IFFT Processor

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