### Abstract

This work considers a Gaussian multiple access channel with two energy harvesting transmitters with lossy energy storage. The power allocation policy maximizing the average weighted sum rate given the energy harvesting profiles is found. In particular, it is shown that the optimal policy has a double-threshold structure on each of the transmit powers, while the two transmit powers interact through the multivariate achievable rate function which determines the thresholds. For the special case of sum rate maximization in a Gaussian MAC channel, it is shown that the thresholds apply to the sum power, and the optimal policy consists of three thresholds, rather than four, which enables the user with a more efficient battery to be given priority in energy storage.

Original language | English (US) |
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Title of host publication | 2012 IEEE Information Theory Workshop, ITW 2012 |

Pages | 94-98 |

Number of pages | 5 |

DOIs | |

State | Published - Dec 1 2012 |

Event | 2012 IEEE Information Theory Workshop, ITW 2012 - Lausanne, Switzerland Duration: Sep 3 2012 → Sep 7 2012 |

### Publication series

Name | 2012 IEEE Information Theory Workshop, ITW 2012 |
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### Other

Other | 2012 IEEE Information Theory Workshop, ITW 2012 |
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Country | Switzerland |

City | Lausanne |

Period | 9/3/12 → 9/7/12 |

### Fingerprint

### All Science Journal Classification (ASJC) codes

- Information Systems

### Cite this

*2012 IEEE Information Theory Workshop, ITW 2012*(pp. 94-98). [6404772] (2012 IEEE Information Theory Workshop, ITW 2012). https://doi.org/10.1109/ITW.2012.6404772

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*2012 IEEE Information Theory Workshop, ITW 2012.*, 6404772, 2012 IEEE Information Theory Workshop, ITW 2012, pp. 94-98, 2012 IEEE Information Theory Workshop, ITW 2012, Lausanne, Switzerland, 9/3/12. https://doi.org/10.1109/ITW.2012.6404772

**The energy harvesting multiple access channel with energy storage losses.** / Tutuncuoglu, Kaya; Yener, Aylin.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - The energy harvesting multiple access channel with energy storage losses

AU - Tutuncuoglu, Kaya

AU - Yener, Aylin

PY - 2012/12/1

Y1 - 2012/12/1

N2 - This work considers a Gaussian multiple access channel with two energy harvesting transmitters with lossy energy storage. The power allocation policy maximizing the average weighted sum rate given the energy harvesting profiles is found. In particular, it is shown that the optimal policy has a double-threshold structure on each of the transmit powers, while the two transmit powers interact through the multivariate achievable rate function which determines the thresholds. For the special case of sum rate maximization in a Gaussian MAC channel, it is shown that the thresholds apply to the sum power, and the optimal policy consists of three thresholds, rather than four, which enables the user with a more efficient battery to be given priority in energy storage.

AB - This work considers a Gaussian multiple access channel with two energy harvesting transmitters with lossy energy storage. The power allocation policy maximizing the average weighted sum rate given the energy harvesting profiles is found. In particular, it is shown that the optimal policy has a double-threshold structure on each of the transmit powers, while the two transmit powers interact through the multivariate achievable rate function which determines the thresholds. For the special case of sum rate maximization in a Gaussian MAC channel, it is shown that the thresholds apply to the sum power, and the optimal policy consists of three thresholds, rather than four, which enables the user with a more efficient battery to be given priority in energy storage.

UR - http://www.scopus.com/inward/record.url?scp=84873150258&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84873150258&partnerID=8YFLogxK

U2 - 10.1109/ITW.2012.6404772

DO - 10.1109/ITW.2012.6404772

M3 - Conference contribution

AN - SCOPUS:84873150258

SN - 9781467302234

T3 - 2012 IEEE Information Theory Workshop, ITW 2012

SP - 94

EP - 98

BT - 2012 IEEE Information Theory Workshop, ITW 2012

ER -