Shannon meets Tesla: Wireless information and power transfer

By Pulkit Grover, Anant Sahai. 2010 IEEE International Symposium on Information Theory, 2010

1,067 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ce65a6863b5f8ce0c5a67ca7c89df2039b135483

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Citations in the corpus

Simultaneous wireless information and power transfer in modern communication systems (2014, background): “Besides, opport unistic power control can be used to exploit the channel fading for improved energy and information transfer efficiency [10]–[12].”
MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer (2011, background): “Note that this modified WF policy has also been shown in [2] for power allocation in freq u ncy-selective AWGN channels.”
Enabling Wireless Power Transfer in Cellular Networks: Architecture, Modeling and Deployment (2012, background): “In [11], [12], the authors investigated the information capacity of a point-to-point wireless channel under the constraint that the average received power is above a given threshold, establishing the tradeoff between the transferred power and information rate over the same channel.”
Wireless Information and Power Transfer With Full Duplex Relaying (2014, background): “In the pioneering works on SWIPT by Varshney [3] and Grover [4], the fundamental tradeoff between the capacity and energy was studied.”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “hundreds of meters). Moreover, as RF signals also carry information when they deliver energy, the concept of simultaneous wireless communication and power transfer (SWIPT) was proposed and studied in [123], [124] from an information theoretical perspective. In practice, the energy harvesting process”
Relaying Protocols for Wireless Energy Harvesting and Information Processing (2012, background): “Finally, we also derive the achievable throughput of an ideal relay receiver, that is based on the ideal receiver in [4], [5], [10], and processes the information and extracts power from the same received signal [6].”
Robust Beamforming for Secure Communication in Systems With Wireless Information and Power Transfer (2013, methodology): “In [4], a power allocation algorithm was proposed for near-field communication systems.”
Secrecy wireless information and power transfer with MISO beamforming (2013, background): “I NTRODUCTION Recently, there has been an upsurge of interest in radio signal enabled simultaneous wireless information and power transfer (SWIPT) [1]-[6].”
Throughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer (2014, background): “SWIPT has also been studied in fading channels [5], and orthogonal frequency division multiplexing (OFDM) systems [6]–[9], and other multiuser channel setups such as broadcast channels [10], [11], relay channels [12], [13], and interference channels [14], [15].”
Wireless Information and Power Transfer: Architecture Design and Rate-Energy Tradeoff (2012, methodology): “In [2], Grove and Sahai extended the work in [1] to frequency-selective channels with additive white Gaussian noise (AWGN).”
Multiuser MISO Beamforming for Simultaneous Wireless Information and Power Transfer (2013, background): “This work was then extended to frequency-selective AWGN channels in [3], where a non-trivial tradeoff between information rate and harvested energy was shown by varying power allocation over frequency.”
Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks (2013, background): “In [12] and [13], simultaneous wireless power and information transfer has been investigated, aiming at maximizing information rate and transferred power over single-antenna additive white Gaussian noise (AWGN) channels.”
Wireless Networks With RF Energy Harvesting: A Contemporary Survey (2014, background): “Existing works that consider ideal receiver architecture, such as [18], [21], [134], [135], generally analyze the theoretical upper bound of receiver performance.”
Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, methodology): “Hence, there exists a non-trivial tradeoff between rate and energy in the multi-subband case and the best power allocation can be formulated as the solution of the optimization problem max { P 0 ,...,P N − 1 } subject to which yields a modiﬁed WF solution [23].”
A Survey of In-Band Full-Duplex Transmission: From the Perspective of PHY and MAC Layers (2015, background): “, [206]–[208] and the references therein).”
Advances in Energy Harvesting Communications: Past, Present, and Future Challenges (2016, background): “Some information-theoretic results regarding simultaneous wireless information and power transfer systems are reported in [73] and [74].”