Optimum Transmission Policies for Battery Limited Energy Harvesting Nodes

By Kaya Tutuncuoglu, Aylin Yener. IEEE Transactions on Wireless Communications, 2010

745 citations recorded by the source corpus.

Wireless networks with energy harvesting battery equipped nodes are quickly emerging as a viable option for future wireless networks with extended lifetime. Equally important to their counterpart in the design of energy harvesting radios are the design principles that this new networking paradigm calls for. In particular, unlike wireless networks considered to date, the energy replenishment process and the storage constraints of the rechargeable batteries need to be taken into account in designing efficient transmission strategies. In this work, such transmission policies for rechargeable nodes are considered, and optimum solutions for two related problems are identified. Specifically, the transmission policy that maximizes the short term throughput, i.e., the amount of data transmitted in a finite time horizon is found. In addition, the relation of this optimization problem to another, namely, the minimization of the transmission completion time for a given amount of data is demonstrated, which leads to the solution of the latter as well. The optimum transmission policies are identified under the constraints on energy causality, i.e., energy replenishment process, as well as the energy storage, i.e., battery capacity. For battery replenishment, a model with discrete packets of energy arrivals is considered. The necessary conditions that the throughput-optimal allocation satisfies are derived, and then the algorithm that finds the optimal transmission policy with respect to the short-term throughput and the minimum transmission completion time is given. Numerical results are presented to confirm the analytical findings.

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Citations in the corpus

A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead (2016, background): “In [118] and [119], the results of [117] are extended to the more realistic case of a battery with ﬁnite capacity, while the impact of energy leakages due to non-ideal batteries is considered in [120].”
Energy Harvesting Wireless Communications: A Review of Recent Advances (2015, background): “and the no-energy-overflow constraints become [13]”
Transmission with Energy Harvesting Nodes in Fading Wireless Channels: Optimal Policies (2011, methodology): “This problem was solved in [7] using a geometric framework.”
The Power of Models: Modeling Power Consumption for IoT Devices (2015, background): “an aggressive configuration for maximizing the processing performance [9].”
Designing intelligent energy harvesting communication systems (2014, methodology): “The energy and data arrival rates to the corresponding buffers are modeled by the processes H(t) and I(t), and the states of the energy and data buffers at time t are denoted by S(t) and D(t), respectively.”
Advances in Energy Harvesting Communications: Past, Present, and Future Challenges (2016, methodology): “With the deterministic energy harvesting models, energy scheduling, or equivalently power allocation, optimization problems are commonly formulated to maximize a certain short-term utilities over a finite time horizon and solved by convex optimization techniques [36], [76], [80].”
Mobile Cooperative Computing: Energy-Efficient Peer-to-Peer Computation Offloading (2017, methodology): “The data causality constraints are analogous with the energy causality constraints for energy-harvesting transmissions [24], [30].”
Broadcasting with an Energy Harvesting Rechargeable Transmitter (2010, background): “Reference [10] extends [1], [2] to the case where rechargeable batteries have finite storage capacities.”
Optimal Status Update for Age of Information Minimization With an Energy Harvesting Source (2017, background): “Optimal transmission scheduling for throughput and delay optimization has been studied under both infinite battery setting [30], [32], [33] and finite battery setting [31], [34]–[37].”
Throughput Maximization for the Gaussian Relay Channel with Energy Harvesting Constraints (2011, methodology): “For the point-to-point communication powered by EH sources, the power management problem was studied in [3]–[5] with the deterministic EH model, and in [4], [6], [7] with the random EH model.”
Throughput Optimal Policies for Energy Harvesting Wireless Transmitters with Non-Ideal Circuit Power (2012, unknown): “[12], [13], [14] and references therein).”