Constant subblock composition codes for simultaneous energy and information transfer

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

doi:10.1109/seconw.2014.6979704

Cited by 3 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the simulation results of Fouladgar et al [112], the codeword structure enabling the integrated data and energy transfer can be adjusted more readily to the receiver's energy consumption pattern than the family of classic unstructured codes. Tandon et al [113] proposed constant sub-block composition codes for the real-time simultaneous information and energy transfer. In their scheme, all sub-blocks have the same fixed composition of the energy bits and information bits, which is carefully designed for striking a trade-off between the information rate and the amount of energy transferred.…”

Section: Joint Energy and Information Codingmentioning

confidence: 99%

Integrated Data and Energy Communication Network: A Comprehensive Survey

Yang

Wen

et al. 2018

IEEE Commun. Surv. Tutorials

135

View full text Add to dashboard Cite

In order to satisfy the power thirsty of communication devices in the imminent 5G era, wireless charging techniques have attracted much attention both from the academic and industrial communities. Although the inductive coupling and magnetic resonance based charging techniques are indeed capable of supplying energy in a wireless manner, they tend to restrict the freedom of movement. By contrast, RF signals are capable of supplying energy over distances, which are gradually inclining closer to our ultimate goal -charging anytime and anywhere. Furthermore, transmitters capable of emitting RF signals have been widely deployed, such as TV towers, cellular base stations and Wi-Fi access points. This communication infrastructure may indeed be employed also for wireless energy transfer (WET). Therefore, no extra investment in dedicated WET infrastructure is required. However, allowing RF signal based WET may impair the wireless information transfer (WIT) operating in the same spectrum. Hence, it is crucial to coordinate and balance WET and WIT for simultaneous wireless information and power transfer (SWIPT), which evolves to Integrated Data and Energy communication Networks (IDENs). To this end, a ubiquitous IDEN architecture is introduced by summarising its natural heterogeneity and by synthesising a diverse range of integrated WET and WIT scenarios. Then the inherent relationship between WET and WIT is revealed from an information theoretical perspective, which is followed by the critical appraisal of the hardware enabling techniques extracting energy from RF signals. Furthermore, the transceiver design, resource allocation and user scheduling as well as networking aspects are elaborated on. In a nutshell, this treatise can be used as a handbook for researchers and engineers, who are interested in enriching their knowledge base of IDENs and in putting this vision into practice.Index Terms-RF signals, wireless energy transfer (WET), wireless information transfer (WIT), simultaneous wireless information and power transfer (SWIPT), wireless powered communication networks (WPCNs), integrated data and energy communication networks (IDENs).an increasing research interest from both the electronic and communication engineering communities. C. Near-field Wireless Energy TransferAt the time of writing, resonant inductive coupling [35] and magnetic resonance coupling [36] emerge as flexible wireless charging options for electronic devices in the nearfield. Resonant inductive coupling based wireless charging relies on the magnetic coupling that delivers electrical energy between two coils tuned to resonate at the same frequency. This technique has already been commercialised for small electronic appliances [37], such as mobile phones, electric toothbrushes and smart watches etc. However, the coupling coils only support near-field wireless power transfer over a distance spanning from a few millimetres to a few centimetres [38], while achieving a power transfer efficiency as high as 56.7%, when operating at a frequency of 508 kHz [...

show abstract

Section: Joint Energy and Information Codingmentioning

confidence: 99%

Integrated Data and Energy Communication Network: A Comprehensive Survey

Yang

Wen

et al. 2018

IEEE Commun. Surv. Tutorials

135

View full text Add to dashboard Cite

show abstract

“…The capacity using CSCC (given by (11)) is achieved by choosing that subblock-composition in Γ L B (given by ( 10)) which maximizes the information rate. We will see that rates greater than C L CSCC (B) can be achieved while still meeting the subblock energy constraint (1).…”

Section: Beyond Constant Subblock Composition Codesmentioning

confidence: 84%

“…When a CSCC is required to satisfy the subblock energy constraint (1), this fixed subblockcomposition for all the subblocks is chosen from L B to maximize the information rate. Thus the CSCC capacity with subblock energy constraint (1)…”

Section: Cscc Capacitymentioning

confidence: 99%

“…We will now show that contrary to the case with codeword constraints, when the constraints are applied to fixed sized subblocks then information rates can, in general, be increased by not restricting the subblocks to have a fixed composition. Towards this, we define a subblock energy-constrained code (SECC) as a code which satisfies the subblock energy constraint given by (1). Since all subblocks in SECC satisfy (1), the composition of each subblock belongs to the set Γ L B .…”

Section: Beyond Constant Subblock Composition Codesmentioning

confidence: 99%

See 1 more Smart Citation

Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer

Tandon

Motani

Varshney

2016

IEEE Trans. Inform. Theory

Self Cite

View full text Add to dashboard Cite

Consider an energy-harvesting receiver that uses the same received signal both for decoding information and for harvesting energy, which is employed to power its circuitry. In the scenario where the receiver has limited battery size, a signal with bursty energy content may cause power outage at the receiver, since the battery will drain during intervals with low signal energy. In this paper, we analyze subblock energy-constrained codes (SECCs), which ensure that sufficient energy is carried within every subblock duration. We consider discrete memoryless channels and characterize the SECC capacity and the SECC error exponent, and provide useful bounds for these values. We also study constant subblock-composition codes (CSCCs), which are a subclass of SECCs where all the subblocks in every codeword have the same fixed composition, and this subblock composition is chosen to maximize the rate of information transfer while meeting the energy requirement. Compared with constant composition codes (CCCs), we show that CSCCs incur a rate loss and that the error exponent for CSCCs is also related to the error exponent for CCCs by the same rate loss term. We exploit the symmetry in CSCCs to obtain a necessary and sufficient condition on the subblock length for avoiding power outage at the receiver. Furthermore, for CSCC sequences, we present a tight lower bound on the average energy per symbol within a sliding time window. We provide numerical examples highlighting the tradeoff between the delivery of sufficient energy to the receiver and achieving high information transfer rates. It is observed that the ability to use energy in real-time imposes less of penalty compared with the ability to use information in real-time.

show abstract

Coding Controlled Integrated Data and Energy Transfer

Hu,

Yang

2024

Textbooks in Telecommunication Engineering

View full text Add to dashboard Cite

Constant subblock composition codes for simultaneous energy and information transfer

Cited by 3 publications

References 17 publications

Integrated Data and Energy Communication Network: A Comprehensive Survey

Integrated Data and Energy Communication Network: A Comprehensive Survey

Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer

Coding Controlled Integrated Data and Energy Transfer

Contact Info

Product

Resources

About