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) |
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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 | |
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 |
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Conference
Conference | 3rd IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015 |
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Country/Territory | Romania |
City | Constanta |
Period | 5/18/15 → 5/21/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Array signal processing
- Energy storage
- Interference
- Robustness
- Signal to noise ratio
- Smart grids
- Uncertainty