Energy Efficient Allocation of Resources in OFDM Database Systems with Hybrid Energy Harvesting Station

Abstract

The study of resource allocation algorithm is designed to connect to energy saving orthogonal frequency Access Network Division (OFDMA) downlink multiple Base Station with a hybrid energy harvesting (BS). Specifically, energy production and a constant source of energy driven by non-renewable resources It is used to provide the energy needed to operate the system. Consider first the unavoidable offline System configuration. In particular, assuming the availability of knowledge is causal for arrivals energy and channel Earnings, and the problem formulation and resource allocation now as a convex optimization problem is the limited range Horizon, taking into account the power consumption circuits, the energy storage capacity is limited, and minimum The required data. Make this the convex optimization problem is to find the optimal solution for convex Time application sharing and exploitation of the characteristics of nonlinear programming leading to fractures Asymptotically optimal resource allocation algorithm Iterative efficiency out of line for a large enough number to Subcarriers. In each iteration, the problem is solved transformed by double decomposition of Lagrange. The Get the resource allocation policy increases the efficiency of energy use is likely to transfer data (weighted Bit / Gul delivered to the receiver). Later, we focus on algorithm design online. and traditional stochastic dynamic programming approach is working to obtain the optimal allocation of resources on the Internet The algorithm, which involves prohibitive complexity. To achieve a balance between system performance The computational complexity, suggesting a low complexity suboptimal iterative algorithm that is online Motivated by now algorithm. The simulation results show that the optimum level without the common line proposed resource allocation algorithm does not meet only a small number of iterations, but also achieves optimal closeto- The energy efficiency of the system by the use of state of the channel information and access only causal energy.