This study suggests anodic improvement strategies for maximization of power output.
The research described had the following two objectives: (i) the maximization of power capacity; (ii) the minimization of electrical losses.
The results of this research can be easily extended to uplink models, network utility maximization, and power control without difficulties.
In this paper, we present a multi-objective optimization approach for indoor wireless network planning subject to constraints for exposure minimization, coverage maximization and power consumption minimization.
With the objective of capacity maximization, the power optimization of D2D sub-system is considered, taking into account quality of service (QoS) requirement.
Our aim is to develop a mechanism that enables joint spectrum allocation, revenue maximization and power control through spectrum pricing while achieving a desired QoS performance.
The distributed algorithm for the weighted-sum of rates maximization based power allocation has been also developed by using the dual decomposition approach.
The proposed algorithm is a progressive optimal framework, in the second step of which we consider the compromise of user rate maximization and power consumption.
This property is very useful for ITS safety applications, and with CR functionalities, some objectives like bandwidth maximization or power minimization can be flexibly traded for more resiliency.
In other words, as expected, the weighted-sum of rates maximization based power allocation scheme can introduce unfairness in terms of the achievable rate of the worst user, especially when relays have low-power limits.
Considering the information asymmetric characteristic in electricity market, we propose a contract based charging strategy with profit maximization of power sector as the object while guaranteeing the PHEV users' non-negative utility.
