TY - GEN
T1 - Energy-efficient mobile edge computation offloading with multiple base stations
AU - Zhang, Peng
AU - Yang, Jie
AU - Fan, Rongfei
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Mobile edge computing (MEC) is a kind of technology which can provide computing service for users at the edge of mobile network. This technology can help mobile devices to save local computing of task and reduce energy consumption. Meanwhile, this technology can help to solve the problem of insufficient computing power of the Internet of things(loT). This paper investigates this topic for the case of multiple base stations, in which one user uses time-division multiple access technology (TDMA) and frequency division multiple access technology (FDMA) transmission mode to offload data. Two systems with single user and several base stations are investigated and two optimization problems are formulated. The optimal optimization problem under TDMA transmission mode is a convex optimization problem, which is easy to solve. The optimization problem under FDMA transmission mode is non-convex. To solve the non-convex optimization problem, we decompose it into two layers. In the upper layer, the time for offloading data is optimized, while all the other parameters are optimized with the time for data offloading is fixed. The simulation result shows that the increase of the amount of base station can contribute to the decrease of energy consumption. TDMA mode is better compared with FDMA mode.
AB - Mobile edge computing (MEC) is a kind of technology which can provide computing service for users at the edge of mobile network. This technology can help mobile devices to save local computing of task and reduce energy consumption. Meanwhile, this technology can help to solve the problem of insufficient computing power of the Internet of things(loT). This paper investigates this topic for the case of multiple base stations, in which one user uses time-division multiple access technology (TDMA) and frequency division multiple access technology (FDMA) transmission mode to offload data. Two systems with single user and several base stations are investigated and two optimization problems are formulated. The optimal optimization problem under TDMA transmission mode is a convex optimization problem, which is easy to solve. The optimization problem under FDMA transmission mode is non-convex. To solve the non-convex optimization problem, we decompose it into two layers. In the upper layer, the time for offloading data is optimized, while all the other parameters are optimized with the time for data offloading is fixed. The simulation result shows that the increase of the amount of base station can contribute to the decrease of energy consumption. TDMA mode is better compared with FDMA mode.
KW - FDMA
KW - Internet of things(loT)
KW - Mobile edge computing (MEC)
KW - Optimal offloading
KW - TDMA
UR - http://www.scopus.com/inward/record.url?scp=85073902374&partnerID=8YFLogxK
U2 - 10.1109/IWCMC.2019.8766659
DO - 10.1109/IWCMC.2019.8766659
M3 - Conference contribution
AN - SCOPUS:85073902374
T3 - 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019
SP - 255
EP - 259
BT - 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019
Y2 - 24 June 2019 through 28 June 2019
ER -
