Wireless Information and Power Transfer: Architecture Design and Rate-Energy Tradeoff
By Xun Zhou, Rui Zhang, Chin Keong Ho. IEEE Transactions on Communications, 2012
1,891 citations recorded by the source corpus.
Simultaneous information and power transfer over the wireless channels potentially offers great convenience to mobile users. Yet practical receiver designs impose technical constraints on its hardware realization, as practical circuits for harvesting energy from radio signals are not yet able to decode the carried information directly. To make theoretical progress, we propose a general receiver operation, namely, dynamic power splitting (DPS), which splits the received signal with adjustable power ratio for energy harvesting and information decoding, separately. Three special cases of DPS, namely, time switching (TS), static power splitting (SPS) and on-off power splitting (OPS) are investigated. The TS and SPS schemes can be treated as special cases of OPS. Moreover, we propose two types of practical receiver architectures, namely, separated versus integrated information and energy receivers. The integrated receiver integrates the front-end components of the separated receiver, thus achieving a smaller form factor. The rate-energy tradeoff for the two architectures are characterized by a so-called rate-energy (R-E) region. The optimal transmission strategy is derived to achieve different rate-energy tradeoffs. With receiver circuit power consumption taken into account, it is shown that the OPS scheme is optimal for both receivers. For the ideal case when the receiver circuit does not consume power, the SPS scheme is optimal for both receivers. In addition, we study the performance for the two types of receivers under a realistic system setup that employs practical modulation. Our results provide useful insights to the optimal practical receiver design for simultaneous wireless information and power transfer (SWIPT).
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/20fcc2ae6e1585b5fc53692da623e621c0640711
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In Electrical and Electronic Engineering
- Rui Zhang
- Robert Schober
- H. Vincent Poor
- Yong Zeng
- Zhiguo Ding
- Derrick Wing Kwan Ng
- Jie Xu
- Bruno Clerckx
Citations in the corpus
- Wireless Information and Power Transfer: A Dynamic Power Splitting Approach (2013, methodology): “For the ease of hardware implementation, we consider the case where the information decoding circuit and energy harvesting circuit are separately designed (as opposed to an integrated design in [4]).”
- Simultaneous Information and Power Transfer for Broadband Wireless Systems (2012, methodology): “This is feasible by using existing energy harvester designs such as those in [12], [16].”
- Simultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges (2018, background): “Theoretically, it is recognized that power-splitting achieves the best trade-off between information rate and amount of RF energy transferred [62].”
- Energy Harvesting Wireless Communications: A Review of Recent Advances (2015, methodology): “This is reminiscent of the power splitting approach implemented at the receivers, see for example [99], however, we implement power splitting at the transmitter as opposed to the receiver.”
- Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, methodology): “The transmitter optimizes the transmitted signals jointly for information and energy transfer and the PS receiver splits the received signal into two streams, where one stream with PS ratio 0 ≤ ρ ≤ 1 is used for EH, and the other with power ratio 1 − ρ is used for ID [24], [27], [28].”
- Multiuser MISO Beamforming for Simultaneous Wireless Information and Power Transfer (2013, methodology): “In [5], various practical receiver architectures for SWIPT were investigated, where a new integrated information and energy receiver design was proposed.”
- Optimal Resource Allocation in Full-Duplex Wireless-Powered Communication Network (2014, background): “, the point-to-point additive white Gaussian noise (AWGN) channel [3], [4], the fading AWGN channel [5], [6] the multi-antenna channel [7]–[9], the relay channel [10], [11], and the multi-carrier based broadcast channel [12]–[14].”
- Wireless Information and Power Transfer With Full Duplex Relaying (2014, background): “More recently, sophistic ated architectures improving the rate-energy region were propo sed in [7, 8].”
- Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks (2013, background): “have proposed a new receiver design for enabling wireless information and power transmission at the same time, by judiciously integrating conventional information and energy receivers [15].”
- Throughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer (2014, background): “The authors in [4], [2] studied the performance limits of single-inputsingle-output (SISO) and multiple-input-multiple-outpu (MIMO) SWIPT systems, respectively, and characterized various achievable rate-energy (R-E) trade -offs by practical receiver designs.”
- Relaying Protocols for Wireless Energy Harvesting and Information Processing (2012, methodology): “This is justifiable when the transmission distances are large such that the energy transmitted is the dominant source of energy consumption [6], [15].”
- Robust Beamforming for Secure Communication in Systems With Wireless Information and Power Transfer (2013, methodology): “We assume without loss of generally that E{|s|2} = 1. v ∈ CNT×1 is the artificial noise vector generated by the transmitter to combat both potential and passive eavesdroppers.v is modeled as a complex Gaussian random vector with v ∼ CN (0,V), (7) whereV ∈ HNT ,V 0, denotes the covariance matrix of…”
- Evolution toward 5G multi-tier cellular wireless networks: An interference management perspective (2014, background): “This is due to the fact that both information and power transfer operate with different power sensitivities at the receiver (e.g., -10dBm and -60dBm for energy and information receivers, respectively) [4].”
- Waveform Design for Wireless Power Transfer (2016, methodology): “[9] and subsequent works, that only accounts for the second order term.”