TY - GEN
T1 - PV Panel/Battery Sizing and Resource Allocation for Smart-Grid Powered C-RAN
AU - Chen, Xiaojing
AU - Zhang, Xiaomei
AU - Ni, Wei
AU - Wang, Xin
AU - Zhang, Shunqing
AU - Sun, Yanzan
AU - Xu, Shugong
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, we investigate joint photovoltaic (PV) panel/battery sizing and resource allocation for smart-grid powered C-RAN. We aim to minimize the total system cost, including capital expenditure (CAPEX) for PV panel and battery installation and long-term operational expenditure (OPEX). A particle swarm optimization (PSO) based sizing algorithm is developed to determine the sizes of PV panels and batteries offline. Leveraging the stochastic dual-subgradient method, a distributed online resource allocation and energy trading (ORE) algorithm is proposed to make real-time decisions of beamforming, service schedule and energy management. The feasibility and asymptotic optimality of the proposed ORE are established by theoretical analysis based on the Lyapunov optimization.
AB - In this paper, we investigate joint photovoltaic (PV) panel/battery sizing and resource allocation for smart-grid powered C-RAN. We aim to minimize the total system cost, including capital expenditure (CAPEX) for PV panel and battery installation and long-term operational expenditure (OPEX). A particle swarm optimization (PSO) based sizing algorithm is developed to determine the sizes of PV panels and batteries offline. Leveraging the stochastic dual-subgradient method, a distributed online resource allocation and energy trading (ORE) algorithm is proposed to make real-time decisions of beamforming, service schedule and energy management. The feasibility and asymptotic optimality of the proposed ORE are established by theoretical analysis based on the Lyapunov optimization.
KW - C-RAN
KW - PV panel and battery sizing
KW - resource allocation
KW - smart grid
KW - stochastic optimization
UR - http://www.scopus.com/inward/record.url?scp=85178568652&partnerID=8YFLogxK
U2 - 10.1109/SPAWC53906.2023.10304455
DO - 10.1109/SPAWC53906.2023.10304455
M3 - Conference Proceeding
AN - SCOPUS:85178568652
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
SP - 591
EP - 595
BT - 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023
Y2 - 25 September 2023 through 28 September 2023
ER -