Distributed robust resource allocation for renewable powered wireless cellular networks

Yu Zhang; Xin Wang; Georgios B. Giannakis; Shuyan Hu

doi:10.1109/BlackSeaCom.2015.7185117

Distributed robust resource allocation for renewable powered wireless cellular networks

Yu Zhang, Xin Wang, Georgios B. Giannakis, Shuyan Hu

Electrical and Computer Engineering

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

3 Scopus citations

Abstract

A novel framework is introduced to integrate renewable energy sources (RES) into beamforming designs for smart grid powered coordinated multi-point (CoMP) communication systems. Practical models are put forth to account for the variable RES, time-varying energy prices, as well as stochastic wireless channels. Capitalizing on the proposed models, a robust resource allocation task is formulated for the energy management and transmit-beamforming designs. The resultant convex optimization problem minimizes the worst-case energy transaction cost while guarantees the users' quality of service (QoS) robust to channel uncertainties. A dual decomposition method is developed to obtain the optimal operating point in a distributed fashion. Numerical results are provided to corroborate the merits of the novel approach.

Original language	English (US)
Title of host publication	2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	210-214
Number of pages	5
ISBN (Electronic)	9781479985050
DOIs	https://doi.org/10.1109/BlackSeaCom.2015.7185117
State	Published - Aug 10 2015
Event	3rd IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015 - Constanta, Romania Duration: May 18 2015 → May 21 2015

Publication series

Name	2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015

Conference

Conference	3rd IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015
Country/Territory	Romania
City	Constanta
Period	5/18/15 → 5/21/15

Keywords

Array signal processing
Energy storage
Interference
Robustness
Signal to noise ratio
Smart grids
Uncertainty

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/BlackSeaCom.2015.7185117

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Zhang, Y., Wang, X., Giannakis, G. B., & Hu, S. (2015). Distributed robust resource allocation for renewable powered wireless cellular networks. In 2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015 (pp. 210-214). Article 7185117 (2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BlackSeaCom.2015.7185117

Distributed robust resource allocation for renewable powered wireless cellular networks. / Zhang, Yu; Wang, Xin; Giannakis, Georgios B. et al.
2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 210-214 7185117 (2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015).

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

Zhang, Y, Wang, X, Giannakis, GB & Hu, S 2015, Distributed robust resource allocation for renewable powered wireless cellular networks. in 2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015., 7185117, 2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015, Institute of Electrical and Electronics Engineers Inc., pp. 210-214, 3rd IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015, Constanta, Romania, 5/18/15. https://doi.org/10.1109/BlackSeaCom.2015.7185117

Zhang Y, Wang X, Giannakis GB, Hu S. Distributed robust resource allocation for renewable powered wireless cellular networks. In 2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 210-214. 7185117. (2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015). doi: 10.1109/BlackSeaCom.2015.7185117

Zhang, Yu ; Wang, Xin ; Giannakis, Georgios B. et al. / Distributed robust resource allocation for renewable powered wireless cellular networks. 2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 210-214 (2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015).

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abstract = "A novel framework is introduced to integrate renewable energy sources (RES) into beamforming designs for smart grid powered coordinated multi-point (CoMP) communication systems. Practical models are put forth to account for the variable RES, time-varying energy prices, as well as stochastic wireless channels. Capitalizing on the proposed models, a robust resource allocation task is formulated for the energy management and transmit-beamforming designs. The resultant convex optimization problem minimizes the worst-case energy transaction cost while guarantees the users' quality of service (QoS) robust to channel uncertainties. A dual decomposition method is developed to obtain the optimal operating point in a distributed fashion. Numerical results are provided to corroborate the merits of the novel approach.",

keywords = "Array signal processing, Energy storage, Interference, Robustness, Signal to noise ratio, Smart grids, Uncertainty",

author = "Yu Zhang and Xin Wang and Giannakis, {Georgios B.} and Shuyan Hu",

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AB - A novel framework is introduced to integrate renewable energy sources (RES) into beamforming designs for smart grid powered coordinated multi-point (CoMP) communication systems. Practical models are put forth to account for the variable RES, time-varying energy prices, as well as stochastic wireless channels. Capitalizing on the proposed models, a robust resource allocation task is formulated for the energy management and transmit-beamforming designs. The resultant convex optimization problem minimizes the worst-case energy transaction cost while guarantees the users' quality of service (QoS) robust to channel uncertainties. A dual decomposition method is developed to obtain the optimal operating point in a distributed fashion. Numerical results are provided to corroborate the merits of the novel approach.

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KW - Signal to noise ratio

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Distributed robust resource allocation for renewable powered wireless cellular networks

Abstract

Publication series

Conference

Keywords

UN SDGs

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