Optimizing the Spectrum and Power Allocation for D2D-Enabled Communication Systems Using DC Programming

Yanhu Huang,Qiang Wang,Guomei Gan

doi:10.1155/2020/6135257

Yanhu Huang, Qiang Wang + Show 1 more

Open Access

https://doi.org/10.1155/2020/6135257

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Abstract

Device to device (D2D) communication has recently attracted a lot of attentions since it can significantly improve the system throughput and reduce the energy consumption. Indeed, the devices can communicate with each other in a D2D system, and the base station (BS) can share the spectrum with D2D users, which can efficiently improve the spectrum and energy efficiency. Nevertheless, spectrum sharing also raises the difficulty of resource allocation owing to the serious cochannel interference. To reduce the interference, the transmit power of the D2D pairs and BS to cellular users should be further optimized. In this paper, we consider the resource allocation problem of D2D networks involving the power allocation and subcarrier assignment. The resource allocation problem is formulated as a mixed integer programming problem which is difficult to solve. To reduce the computational complexity, the original problem is decomposed as two subproblems in terms of the subcarrier assignment and power allocation. For the subcarrier assignment problem, the particle swarm optimization (PSO) is adopted to solve it since the subcarrier assignment is an integer optimization problem, and it is difficult to be tackled using the traditional optimization approach. When the subcarrier assignment is fixed, there are only the power allocation variables in the original resource allocation problem. The difference of convex functions (DC) programming is adopted to solve the power allocation problem. Simulation results demonstrate the effectiveness of the proposed resource allocation scheme of D2D networks.

Highlights

In the past decade, the wireless communication technology has made considerable progress and significantly changed the way of living
A square service area is considered, and a base station (BS) is distributed in the center of the region. e cellular users and D2D users are randomly allocated in the cell. e large-scale path loss model adopts the Okumura–Hata, and the smallscale fading is modeled as Raleigh fading, that is, the channel coefficients follow exponential distribution. e number of cellular users is set to C 5, and the number of D2D pairs is changed from 2 to 10
It can be seen that the performance of the proposed spectrum allocation and power allocation algorithm outperforms that of these benchmarks which demonstrates the effectiveness of the proposed scheme

Summary

Introduction

The wireless communication technology has made considerable progress and significantly changed the way of living. Reference [9] considers the resource allocation problem for D2D enabled large-scale cellular networks to maximize the energy efficiency and spectrum efficiency. Reference [10] studies an energy-efficient power control design for resource sharing between cellular and D2D users, and a multiobjective optimization problem is formulated to maximize the energy efficiency. In [19], the joint optimization problem of relay selection and resource allocation is formulated, and a two level approach is proposed to solve it, in which a coalition formation game associates relays with D2D pairs to enable network codingaided transmissions, and a greedy algorithm-based game allocates limited cellular resources to D2D pairs and relays in network coding D2D. We consider the joint resource allocation problem for D2D-enabled cellular networks involving the power allocation and subcarrier allocation to minimize the interference between the cellular users and D2D users.

System Model

Spectrum Allocation Using PSO

Power Allocation Using DC Programming

Simulation Results

Conclusions