### Abstract

Communication over a broadband fading channel powered by an energy harvesting transmitter is studied. Assuming non-causal knowledge of energy/data arrivals and channel gains, optimal transmission schemes are identified by taking into account the energy cost of the processing circuitry as well as the transmission energy. A constant processing cost for each active sub-channel is assumed. Three different system objectives are considered: 1) throughput maximization, in which the total amount of transmitted data by a deadline is maximized for a backlogged transmitter with a finite capacity battery; 2) energy maximization, in which the remaining energy in an infinite capacity battery by a deadline is maximized such that all the arriving data packets are delivered; and 3) transmission completion time minimization, in which the delivery time of all the arriving data packets is minimized assuming infinite size battery. For each objective, a convex optimization problem is formulated, the properties of the optimal transmission policies are identified, and an algorithm which computes an optimal transmission policy is proposed. Finally, based on the insights gained from the offline optimizations, low-complexity online algorithms performing close to the optimal dynamic programming solution for the throughput and energy maximization problems are developed under the assumption that the energy/data arrivals and channel states are known causally at the transmitter.

Original language | English (US) |
---|---|

Article number | 6825916 |

Pages (from-to) | 6095-6107 |

Number of pages | 13 |

Journal | IEEE Transactions on Wireless Communications |

Volume | 13 |

Issue number | 11 |

DOIs | |

State | Published - Nov 1 2014 |

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### Keywords

- Offline power optimization
- online algorithms.
- remaining energy maximization
- throughput maximization
- transmission completion time minimization

### ASJC Scopus subject areas

- Electrical and Electronic Engineering
- Computer Science Applications
- Applied Mathematics

### Cite this

*IEEE Transactions on Wireless Communications*,

*13*(11), 6095-6107. [6825916]. https://doi.org/10.1109/TWC.2014.2328600

**Energy harvesting broadband communication systems with processing energy cost.** / Orhan, Oner; Gündüz, Deniz; Erkip, Elza.

Research output: Contribution to journal › Article

*IEEE Transactions on Wireless Communications*, vol. 13, no. 11, 6825916, pp. 6095-6107. https://doi.org/10.1109/TWC.2014.2328600

}

TY - JOUR

T1 - Energy harvesting broadband communication systems with processing energy cost

AU - Orhan, Oner

AU - Gündüz, Deniz

AU - Erkip, Elza

PY - 2014/11/1

Y1 - 2014/11/1

N2 - Communication over a broadband fading channel powered by an energy harvesting transmitter is studied. Assuming non-causal knowledge of energy/data arrivals and channel gains, optimal transmission schemes are identified by taking into account the energy cost of the processing circuitry as well as the transmission energy. A constant processing cost for each active sub-channel is assumed. Three different system objectives are considered: 1) throughput maximization, in which the total amount of transmitted data by a deadline is maximized for a backlogged transmitter with a finite capacity battery; 2) energy maximization, in which the remaining energy in an infinite capacity battery by a deadline is maximized such that all the arriving data packets are delivered; and 3) transmission completion time minimization, in which the delivery time of all the arriving data packets is minimized assuming infinite size battery. For each objective, a convex optimization problem is formulated, the properties of the optimal transmission policies are identified, and an algorithm which computes an optimal transmission policy is proposed. Finally, based on the insights gained from the offline optimizations, low-complexity online algorithms performing close to the optimal dynamic programming solution for the throughput and energy maximization problems are developed under the assumption that the energy/data arrivals and channel states are known causally at the transmitter.

AB - Communication over a broadband fading channel powered by an energy harvesting transmitter is studied. Assuming non-causal knowledge of energy/data arrivals and channel gains, optimal transmission schemes are identified by taking into account the energy cost of the processing circuitry as well as the transmission energy. A constant processing cost for each active sub-channel is assumed. Three different system objectives are considered: 1) throughput maximization, in which the total amount of transmitted data by a deadline is maximized for a backlogged transmitter with a finite capacity battery; 2) energy maximization, in which the remaining energy in an infinite capacity battery by a deadline is maximized such that all the arriving data packets are delivered; and 3) transmission completion time minimization, in which the delivery time of all the arriving data packets is minimized assuming infinite size battery. For each objective, a convex optimization problem is formulated, the properties of the optimal transmission policies are identified, and an algorithm which computes an optimal transmission policy is proposed. Finally, based on the insights gained from the offline optimizations, low-complexity online algorithms performing close to the optimal dynamic programming solution for the throughput and energy maximization problems are developed under the assumption that the energy/data arrivals and channel states are known causally at the transmitter.

KW - Offline power optimization

KW - online algorithms.

KW - remaining energy maximization

KW - throughput maximization

KW - transmission completion time minimization

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UR - http://www.scopus.com/inward/citedby.url?scp=84910640663&partnerID=8YFLogxK

U2 - 10.1109/TWC.2014.2328600

DO - 10.1109/TWC.2014.2328600

M3 - Article

AN - SCOPUS:84910640663

VL - 13

SP - 6095

EP - 6107

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 11

M1 - 6825916

ER -