TY - JOUR
T1 - Cellular-Assisted D2D Communications for Advanced Metering Infrastructure in Smart Gird
AU - Song, Yujae
AU - Kong, Peng Yong
AU - Kim, Yongjae
AU - Baek, Seungjae
AU - Choi, Yonghoon
N1 - Funding Information:
Manuscript received July 25, 2017; revised June 10, 2018 and September 19, 2018; accepted December 24, 2018. Date of publication January 21, 2019; date of current version May 31, 2019. This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant 2017R1D1A1B03032619. (Corresponding author: Peng-Yong Kong.) Y. Song and S. Baek are with the Maritime ICT R&D Center, Korea Institute of Ocean Science and Technology, Busan 49111, South Korea (e-mail:, [email protected]; [email protected]).
Publisher Copyright:
© 2007-2012 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - In smart grid, an advanced metering infrastructure (AMI) facilitates two-way communications between smart meters (SMs) and a meter data management unit (MDMU). We use cellular-assisted device-to-device (D2D) communications to connect a large number of SMs to the MDMU via cluster heads (CHs). Improper clustering can affect spectral efficiency. In addition, each SM and CH must be provided with a throughput guarantee for reliable smart grid operations. In this paper, we formulate a joint D2D cluster formation and radio resource allocation problem to maximize spectral efficiency in terms of uplink sum-rate, subject to constraints of guaranteeing a minimum throughput to each AMI entity. The optimization problem is a mixed-integer non-linear program, which is non-deterministic polynomial-time hard. For practical implementation and real-time decision making, we divide the original problem into four sub-problems: cluster formation, initial power allocation, channel allocation, and power allocation improvement, respectively. In the sub-problem for power allocation improvement, we exploit the properties of the difference of convex functions in finding the optimal transmission power. Simulation results confirm superiority of the proposed algorithm compared with other existing algorithms.
AB - In smart grid, an advanced metering infrastructure (AMI) facilitates two-way communications between smart meters (SMs) and a meter data management unit (MDMU). We use cellular-assisted device-to-device (D2D) communications to connect a large number of SMs to the MDMU via cluster heads (CHs). Improper clustering can affect spectral efficiency. In addition, each SM and CH must be provided with a throughput guarantee for reliable smart grid operations. In this paper, we formulate a joint D2D cluster formation and radio resource allocation problem to maximize spectral efficiency in terms of uplink sum-rate, subject to constraints of guaranteeing a minimum throughput to each AMI entity. The optimization problem is a mixed-integer non-linear program, which is non-deterministic polynomial-time hard. For practical implementation and real-time decision making, we divide the original problem into four sub-problems: cluster formation, initial power allocation, channel allocation, and power allocation improvement, respectively. In the sub-problem for power allocation improvement, we exploit the properties of the difference of convex functions in finding the optimal transmission power. Simulation results confirm superiority of the proposed algorithm compared with other existing algorithms.
KW - Advanced metering infrastructure (AMI)
KW - cluster formation
KW - device-to-device (D2D) communication
KW - radio resource allocation
KW - smart grid
UR - https://www.scopus.com/pages/publications/85066948252
U2 - 10.1109/JSYST.2019.2891719
DO - 10.1109/JSYST.2019.2891719
M3 - Article
AN - SCOPUS:85066948252
SN - 1932-8184
VL - 13
SP - 1347
EP - 1358
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 2
M1 - 8620245
ER -