On Communications under Stochastic Energy Harvesting with Noisy Channel State Information

Zenaidi, Mohamed Ridha; Rezki, Zouheir; Alouini, Mohamed‐Slim

doi:10.1109/glocom.2016.7842038

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…The body of research on EH-enabled communication systems can be grouped into two main categories depending on the adopted energy arrival model [9], [28]: in the first model, the energy arrival is deterministic and the transmitter has a causal or non-causal knowledge of the energy arrival at the beginning of transmission [29]. In the second model, the energy arrival is stochastic.…”

Section: A Literature Reviewmentioning

confidence: 99%

“…Partial (imperfect) CSI has deteriorating effects on the CR system performance and should not be overlooked. For instance, the authors in [28], [32] analyzed maximizing the average throughput of SU, in two asymptotic regimes (where the rate of energy harvesting is very small and very large), via optimizing the transmit power. In [28], [32] the authors assumed partial CSI at SU tx (due to channel estimation error), whereas perfect CSI is available at SU rx .…”

Section: A Literature Reviewmentioning

confidence: 99%

“…For instance, the authors in [28], [32] analyzed maximizing the average throughput of SU, in two asymptotic regimes (where the rate of energy harvesting is very small and very large), via optimizing the transmit power. In [28], [32] the authors assumed partial CSI at SU tx (due to channel estimation error), whereas perfect CSI is available at SU rx . In [29], the authors targeted maximizing the SU's throughput, via optimizing the channel threshold and transmission power.…”

Section: A Literature Reviewmentioning

confidence: 99%

“…Consider the second term in (28). Due to channel estimation error, the new noises η n,ε 's in (25) are non-Gaussian and this term does not have a closed form expression.…”

Section: Data Transmission Phasementioning

confidence: 99%

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Steady-State Rate-Optimal Power Adaptation in Energy Harvesting Opportunistic Cognitive Radios With Spectrum Sensing and Channel Estimation Errors

Yazdani¹,

Vosoughi²

2021

IEEE Trans. on Green Commun. Netw.

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We consider an uplink cognitive radio (CR) network that can access a wideband spectrum licensed to a primary network, which is divided into non-overlapping narrowband channels. The secondary users (SUs) are equipped with rechargeable battery of finite capacity that solely powered by energy harvesting from the ambient environment. The SUs which are aware of the available energy in their batteries, sense the activity of the primary transmitter. If the result of spectrum sensing is idle, SUs send pilot symbols to the secondary access point (AP) and AP estimates the secondary channel power. Then, AP feeds back the channel gain to SUs. Knowing the battery state and the feedback information, SUs optimally adapt their transmit power to AP such that the steady-state sum rate of SU-AP link is maximized, subject to average interference constraint (AIC) imposed on the primary receiver and the causality constraint of the batteries. We illustrate the effect of the AIC, energy arrival rate and battery capacity on the steady state distribution of battery, CR network rate, battery energy outage probability and transmission outage probability via simulation.

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Section: A Literature Reviewmentioning

confidence: 99%

Section: A Literature Reviewmentioning

confidence: 99%

Section: A Literature Reviewmentioning

confidence: 99%

“…Consider the second term in (28). Due to channel estimation error, the new noises η n,ε 's in (25) are non-Gaussian and this term does not have a closed form expression.…”

Section: Data Transmission Phasementioning

confidence: 99%

See 2 more Smart Citations