Energy Harvesting Communications under Explicit and Implicit Temperature Constraints
Abdulrahman Baknina, Omur Ozel, Sennur Ulukus

TL;DR
This paper studies energy harvesting communication systems with temperature constraints, proposing optimal power allocation strategies under explicit and implicit temperature effects, including combined constraints, with diverse regime analyses.
Contribution
It introduces a discrete-time model for temperature-constrained energy harvesting, analyzing optimal power policies for explicit, implicit, and combined temperature effects, which is novel compared to prior continuous-time models.
Findings
Optimal power decreases under explicit temperature constraints.
In low SINR, energy is saved for last transmission.
In high SINR, power increases monotonically.
Abstract
We consider an energy harvesting communication system where the temperature dynamics is governed by the transmission power policy. Different from the previous work, we consider a discrete time system where transmission power is kept constant in each slot. We consider two models that capture different effects of temperature. In the first model, the temperature is constrained to be below a critical temperature at all time instants; we coin this model as explicit temperature constrained model. We investigate throughput optimal power allocation for multiple energy arrivals under general, as well as temperature and energy limited regimes. We show that the optimal power allocation for the temperature limited case is monotone decreasing. In the second model, we consider the effect of the temperature on the channel quality via its influence on additive noise power; we coin this model as…
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