Transmission schemes and performance analysis for time-switching energy harvesting receivers

Ni, Zhengwei; Motani, Mehul

doi:10.1109/icc.2016.7511351

Cited by 8 publications

(8 citation statements)

References 15 publications

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“…5, we set e lim = 3 and let e avg changes from 0 to 3. When there is no power optimization, each symbol is transmitted at a predetermined constant power, irrespective of whether it is used for energy harvesting or information decoding, as assumed in our previous works [11], [12]. With power optimization (as studied in this paper), the powers used for energy harvesting and information transmission can be different.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…The duration of one block is T . In a given block, a scheme called Harvest-then-Receive (HTR) is used [11]. HTR operates as follows: for the first αT duration, the switcher connects the RF front-end to the energy harvesting sub-system.…”

Section: System Modelmentioning

confidence: 99%

“…We follow our previous work [11], [12] to model the energy required for extracting information at the receiver. As previously mentioned, firstly, we assume the energy used at other components for extracting information is negligible.…”

Section: System Modelmentioning

confidence: 99%

“…We can also control the amount of energy transferred by adjusting the power. Hence, in this paper, we extend our previous work [11], [12] by allowing optimization of the powers used for both information transmission and energy harvesting, in addition to optimizing the fraction of time for energy harvesting and the code rate. Intuitively, to maximize the number of information bits decoded at the receiver, the transmitter has two choices on how to allocate its transmit power: 1) To increase the transmitting power for information transmission.…”

Section: Introductionmentioning

confidence: 97%

“…In our previous works [11], [12], we study the case that the transmitter works as a dedicated energy source and provide some energy to the receiver, which has a time-switching architecture [13]. To address the problem mentioned above, we make the following assumptions.…”

Section: Introductionmentioning

confidence: 99%

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Performance of Energy Harvesting Receivers With Power Optimization

Motani

2018

IEEE Trans. Commun.

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The difficulty of modeling energy consumption in communication systems leads to challenges in energy harvesting (EH) systems, in which nodes scavenge energy from their environment. An EH receiver must harvest enough energy for demodulating and decoding. The energy required depends upon factors, like code rate and signal-to-noise ratio, which can be adjusted dynamically. We consider a receiver which harvests energy from ambient sources and the transmitter, meaning the received signal is used for both EH and information decoding. Assuming a generalized function for energy consumption, we maximize the total number of information bits decoded, under both average and peak power constraints at the transmitter, by carefully optimizing the power used for EH, power used for information transmission, fraction of time for EH, and code rate. For transmission over a single block, we find there exist problem parameters for which either maximizing power for information transmission or maximizing power for EH is optimal. In the general case, the optimal solution is a tradeoff of the two. For transmission over multiple blocks, we give an upper bound on performance and give sufficient and necessary conditions to achieve this bound. Finally, we give some numerical results to illustrate our results and analysis. Index TermsEnergy harvesting communication systems, Simultaneous energy and information transfer, Timeswitching, Joint power and rate optimization

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Section: Numerical Resultsmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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Performance of Energy Harvesting Receivers With Power Optimization

Motani

2018

IEEE Trans. Commun.

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On Dual-Path Energy-Harvesting Receivers for IoT With Batteries Having Internal Resistance

Bhat

Motani

2018

IEEE Internet Things J.

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Optimal Power Splitting for Simultaneous Information Detection and Energy Harvesting

Kariminezhad

Gherekhloo

Sezgin

2017

IEEE Signal Process. Lett.

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This letter deals with the joint information and energy processing at a receiver of a point-to-point communication channel. In particular, the trade-off between the achievable information rate and harvested energy for a multiple-antenna power splitting (PS) receiver is investigated. Here, the rateenergy region characterization is of particular interest, which is intrinsically a non-convex problem. In this letter, an efficient algorithm is proposed for obtaining an approximate solution to the problem in polynomial time. This algorithm is mainly based on the Taylor approximation in conjunction with semidefinite relaxation (SDR) which is solved by interior-point methods. Moreover, we utilize the Gaussian randomization procedure to obtain a feasible solution for the original problem. It is shown that by proper receiver design the rate-energy region can be significantly enlarged compared to the state of the art, while at the same time the receiver hardware costs is reduced by utilizing less number of energy harvesting circuitry.

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Transmission schemes and performance analysis for time-switching energy harvesting receivers

Cited by 8 publications

References 15 publications

Performance of Energy Harvesting Receivers With Power Optimization

Performance of Energy Harvesting Receivers With Power Optimization

On Dual-Path Energy-Harvesting Receivers for IoT With Batteries Having Internal Resistance

Optimal Power Splitting for Simultaneous Information Detection and Energy Harvesting

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