TY - GEN
T1 - Distributed robust resource allocation for renewable powered wireless cellular networks
AU - Zhang, Yu
AU - Wang, Xin
AU - Giannakis, Georgios B.
AU - Hu, Shuyan
N1 - Publisher Copyright:
© 2015 IEEE.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2015/8/10
Y1 - 2015/8/10
N2 - 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.
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.
KW - Array signal processing
KW - Energy storage
KW - Interference
KW - Robustness
KW - Signal to noise ratio
KW - Smart grids
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=84949503056&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949503056&partnerID=8YFLogxK
U2 - 10.1109/BlackSeaCom.2015.7185117
DO - 10.1109/BlackSeaCom.2015.7185117
M3 - Conference contribution
AN - SCOPUS:84949503056
T3 - 2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015
SP - 210
EP - 214
BT - 2015 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2015
Y2 - 18 May 2015 through 21 May 2015
ER -
