Abstract
Resource allocation has become one of the main challenges in the 5G network which is playing an important role to improve the quality of wireless networks. The design of optimal resource allocation (such as power allocation for the tradeoff between spectral and energy efficient) in wireless communication systems is generically classified as non-convex mixed-integer nonlinear programming (MINLP) and in general it is NP-hard problem, which is formulated as a functional optimization problem with nonlinear constraints. In this paper, in order to decrease the complexity of global optimization algorithm, meta-heuristic algorithms are used on large scales. One of the meta-heuristic algorithms is Grey Wolf Optimizer (GWO) which is used to trade with the issues regarding resource allocation of the 5G network are investigated. GWO is an alternative method to the traditional methods and it is efficient to solve a various optimization problem. This work targets the ability of GWO to address power allocation optimization problems in wireless communication systems. The penalty method is used to handle optimization constraints depending on the fundamental of GWO are investigated. In addition, the important relation between energy efficiency (EE) and spectral efficiency (SE) of power allocation is considered the one of the applications of GWO will be carried out.