Are Run-Length Limited Codes Suitable for Simultaneous Energy and Information Transfer?

Tandon, Anshoo; Motani, Mehul; Varshney, Lav R.

doi:10.1109/tgcn.2019.2919780

Cited by 6 publications

(1 citation statement)

References 43 publications

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“…In addition to avoiding interference between data and servo signals, it also permits filtering of low-frequency disc noise. Moreover, the applied recording systems require a run-length limit constraint ( Tandon, Motani & Varshney, 2019 ), also known as the k -constraint. Kahlman & Immink (1995) concern the spectral shaping of both embedded pilot tones and spectral nulls in digital magnetic video tape recordings.…”

Section: Introductionmentioning

confidence: 99%

Enhanced architecture and implementation of spectrum shaping codes

Wang,

Xie,

Zhang

2024

PeerJ Computer Science

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Spectral shaping codes are modulation codes widely used in communication and data storage systems. This research enhances the algorithms employed in constructing spectral shaping codes for hardware implementation. We present a parallel scrambling calculation with a time complexity of O(1). Second, in the minimum accumulated signal power (MASP) module, the sine-cosine accumulation needs to be determined by remainder with time complexity O(n2). We offer reduced MASP computations for short bit-width data, ROM storage, and addition pipelines. It can remove the remainder operation, reducing accumulated complexity to O(1). In addition, we present a search algorithm to generate segmented lines to replace the square operations in the MASP module. By employing the search algorithm and shift operations, we can reduce the complexity of the square from O(n2) to O(1). The implementation results reveal that the original and proposed MASPs yield nearly identical spectrum nulls. The encoder-decoder of the spectral shaping codes with proposed approaches consumes just 6% of the hardware resources when carried out with a Spartan6 XC6SLX25.

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Section: Introductionmentioning

confidence: 99%

Enhanced architecture and implementation of spectrum shaping codes

Wang,

Xie,

Zhang

2024

PeerJ Computer Science

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Sliding window symbol-pair constrained codes for energy harvesting

et al. 2022

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Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing

Clerckx

Huang

Varshney

et al. 2021

IEEE J. Sel. Top. Signal Process.

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Wireless power transfer (WPT) is an emerging paradigm that will enable using wireless to its full potential in future networks, not only to convey information but also to deliver energy. Such networks will enable trillions of future low-power devices to sense, compute, connect, and energize anywhere, anytime, and on the move. The design of such future networks brings new challenges and opportunities for signal processing, machine learning, sensing, and computing so as to make the best use of the RF radiations, spectrum, and network infrastructure in providing cost-effective and realtime power supplies to wireless devices and enable wirelesspowered applications. In this paper, we first review recent signal processing techniques to make WPT and wireless information and power transfer (WIPT) as efficient as possible. Topics include high-power amplifier and energy harvester nonlinearities, active and passive beamforming, intelligent reflecting surfaces, receive combining with multi-antenna harvester, modulation, coding, waveform, large-scale (massive) multiple-input multipleoutput (MIMO), channel acquisition, transmit diversity, multiuser power region characterization, coordinated multipoint, and distributed antenna systems. Then, we overview two different design methodologies: the model and optimize approach relying on analytical system models, modern convex optimization, and communication/information theory, and the learning approach based on data-driven end-to-end learning and physics-based learning. We discuss the pros and cons of each approach, especially when accounting for various nonlinearities in wireless-powered networks, and identify interesting emerging opportunities for the approaches to complement each other. Finally, we identify new emerging wireless technologies where WPT may play a key role-wireless-powered mobile edge computing and wirelesspowered sensing-arguing WPT, communication, computation, and sensing must be jointly designed.

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Are Run-Length Limited Codes Suitable for Simultaneous Energy and Information Transfer?

Cited by 6 publications

References 43 publications

Enhanced architecture and implementation of spectrum shaping codes

Enhanced architecture and implementation of spectrum shaping codes

Sliding window symbol-pair constrained codes for energy harvesting

Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing

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