Abstract
This paper investigates access link control and resource allocation for the device-to-device (D2D) communication in the fifth generation (5G) cellular networks. The optimization objective of this problem is to maximize the number of admitted D2D links and minimize the total power consumption of D2D links under the condition of meeting the minimum transmission rate requirements of D2D links and common cellular links. This problem is a two-stage nondeterministic polynomial (NP) problem, the solving process of which is very complex. So, we transform it into a one-stage optimization problem. According to the monotonicity of objective function and constraint conditions, a monotone optimization problem is established, which is solved by reverse polyblock approximation algorithm. In order to reduce the complexity of this algorithm, a solution algorithm based on iterative convex optimization is proposed. Simulation results show that both algorithms can maximize the number of admitted D2D links and minimize the total power consumption of D2D links. The proposed two algorithms are better than the energy efficiency optimization algorithm.
Highlights
As one of the key technologies for the fth generation wireless communication networks, D2D communication technology has attracted wide attention in academia and industry [1]
It can be seen from inequality (25) that the new feasible solution (ρ′, p′, s′) can obtain smaller objective function value than the optimal solution, which is inconsistent with the fact that (ρ∗, p∗, s∗) is the optimal solution of problem P3, so problem P3 can maximize the number of admitted D2D links. e step is to prove that P3 can minimize the power consumption of D2D links
As the bit rate requirement of D2D links increases, the objective function value of reverse polyblock approximation algorithm increases from 15.1827 to 34.2001, the objective function value of iterative convex optimization algorithm increases from 22.9407 to 38.8148, and the objective function value of maximizing energy efficiency algorithm increases from 134.9136 to 192.5249. e average objective function value of maximizing energy efficiency algorithm is about 5 times that of iterative convex optimization algorithm on average. e objective function value of reverse polyblock approximation algorithm is reduced by about 20% on average compared with iterative convex optimization algorithm
Summary
As one of the key technologies for the fth generation wireless communication networks, D2D communication technology has attracted wide attention in academia and industry [1]. Complexity users and multiple D2D links could reuse all cellular users’ resources at the same time It decomposed the original nonconvex optimization problem into two subproblems, and iterative algorithm was used to solve the problem, but it did not consider access control of D2D links. Qian et al [13] proposed a joint channel selection and power control algorithm based on convex optimization to maximize the total rate of D2D users, without considering the access control problem of D2D users. (1) e optimization objective is to maximize the number of admitted D2D links and minimize the total power consumption of D2D links while meeting the minimum transmission rate requirements of D2D users and common cellular users.
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