Fairness Based Macro Base Station Power Control Algorithm in Heterogeneous Cellular Networks

Wang, Xueting; Zhu, Qi

doi:10.1109/cicn.2016.23

Cited by 1 publication

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this suboptimum zero-forcing precoder only realized the optimization of relative energy efficiency and did not consider the absolute energy expense cost of BSs. Wang and Zhu [ 24 ] proposed a power control algorithm of micro BSs based on the game theory, which realized maximum total rate of cellular network, to solve the power control problem of BSs in a heterogeneous cellular network under multiple interfaces. Although this study realized the maximum total rate of a cellular network under power constraint, the influences of energy suppliers with different prices on the operation network of a cellular network were neglected.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Mixed Energy Supply of IoT Network Based on Matching Game and Convex Optimization

Han

Liu

2020

Sensors

View full text Add to dashboard Cite

The interaction capability provided by the Internet of Things (IoT) significantly increases communication between human and machine, changing our lives gradually. However, the abundant constructions of 5G small base stations (SBSs) and large-scaled access of IoT terminal equipment (TE) will surely cause a dramatic increase in energy expense costs of a wireless communication system. In this study, we designed a bilateral random model of TE allocation and energy decisions in IoT, and proposed a mixed energy supply algorithm based on a matching game and convex optimization to minimize the energy expense cost of the wireless communication system in IoT. This study divided the problem of minimizing energy expense cost of the system into two steps. First, the random allocation problem of TEs in IoT was modeled to a matching game problem. This step is to obtain the TE matching scheme that minimizes the energy consumption of the whole system on the basis of guaranteeing the quality of service of TEs. Second, the energy decision problem of SBS was modeled into a convex optimization problem. The energy purchase scheme of SBSs with the minimum energy expense cost of the system was obtained by solving the optimal solution of the convex optimization. According to the simulation results, the proposed mixed energy supply scheme can decrease the energy expense cost of the system effectively.

show abstract

Section: Introductionmentioning

confidence: 99%