Multicasting Energy and Information Simultaneously

Wu, Ting-Yi; Tandon, Anshoo; Varshney, Lav R.; Motani, Mehul

doi:10.1109/isit.2019.8849559

Cited by 2 publications

(2 citation statements)

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“…The next proposition states the capacity-energy tradeoff for the SIET multicast problem with full knowledge of harvesting functions [39]. Here, superscript (MC) explicitly denotes that it is a multicast quantity.…”

Section: Sampling Loss In Siet Multicastmentioning

confidence: 99%

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Information and Energy Transmission With Experimentally Sampled Harvesting Functions

Seo

Varshney

2019

IEEE Trans. Commun.

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This paper considers the problem of simultaneous information and energy transmission (SIET), where the energy harvesting function is only known experimentally at sample points, e.g., due to nonlinearities and parameter uncertainties in harvesting circuits. We investigate the performance loss due to this partial knowledge of the harvesting function in terms of transmitted energy and information. In particular, we assume harvesting functions are a subclass of Sobolev space and consider two cases, where experimental samples are either taken noiselessly or in the presence of noise. Using constructive function approximation and regression methods for noiseless and noisy samples respectively, we show that the worst loss in energy transmission vanishes asymptotically as the number of samples increases. Similarly, the loss in information rate vanishes in the interior of the energy domain, however, does not always vanish at maximal energy. We further show the same principle applies in multicast settings such as medium access in the Wi-Fi protocol. We also consider the end-to-end source-channel communication problem under source distortion constraint and channel energy requirement, where distortion and harvesting functions both are known only at samples.

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Section: Sampling Loss In Siet Multicastmentioning

confidence: 99%

“…For notational simplicity, we use vector notations Proposition 13 (Thm. 1 in [39]): For L-user SIET multicast, the capacity-energy function is given by…”

Section: Sampling Loss In Siet Multicastmentioning

confidence: 99%

Information and Energy Transmission With Experimentally Sampled Harvesting Functions

Seo

Varshney

2019

IEEE Trans. Commun.

Self Cite

View full text Add to dashboard Cite

show abstract