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We consider an opportunistic cognitive radio network, consisting of Nusecondary users (SUs) and an access point (AP), that can access a spectrum bandlicensed to a primary user. Each SU is capable of harvesting energy, and isequipped with a finite size battery, for energy storage. The SUs operate undera time-slotted scheme, where each time slot consists of three non-overlappingphases: spectrum sensing phase, channel probing phase, and data transmissionphase. The AP feeds back its estimates of fading coefficients of SUs-AP link toSUs. To strike a balance between the energy harvesting and the energyconsumption, we propose a parameterized power control strategy that allows eachSU to adapt its power, according to the feedback information and its storedenergy. Modeling the randomly arriving energy packets during a time slot as aPoisson process, we establish a lower bound on the achievable sum-rate ofSUs-AP links, in the presence of both spectrum sensing and channel estimationerrors. We optimize the parameters of the proposed power control strategy, suchthat the derived sum-rate lower bound is maximized, subject to an interferenceconstraint. Via simulations, we corroborate our analysis and explore spectrumsensing-channel probing-data transmission trade-offs.

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