Power Allocation for D2D Communications Using Max-Min Message-Passing Algorithm

Abstract

The approach of factor-graphs (FGs) is applied in the context of power control and user pairing in Device-to-Device (D2D) communications as an effective underlay concept in wireless cellular networks. D2D communications can increase the spectral efficiency of wireless cellular networks by establishing a direct link between devices with limited help from the evolved node base stations (eNBs). A well-designed user pairing and power allocation scheme with low complexity can remarkably improve the system's performance. In this paper, a simple and distributed FG based approach is utilized for power control and user pairing implementation in an underlay cellular network with D2D communications. A max-min criterion is proposed to maximize the minimum rate of all active users in the network, including the cellular and multiple D2D co-channel links in the uplink direction. An associated message-passing (MP) algorithm is presented to distributedly solve the resultant NP-hard maximization problem, with a guaranteed convergence compared to game theoretic and Q-learning based methods. The complexity and convergence of the proposed method is analyzed and numerical results confirm that the proposed scheme outperforms alternative algorithms in terms of complexity, while keeping the sum-rate of users nearly the same as centralized counterpart methods.

Robust Distributed Power Control with Resource Allocation in D2D Communication Network for 5G-IoT Communication System

“…In [15] the SWIPT model is proposed for optimizing the power and resource distribution based on the NON-EH framework. Factor graph method is used for the power management with max-min message passing approach to increase the sum rate [16]. In [17] power constraint is used as an NP hard problem for the ADC based algorithm to maximize the sum rate.…”

“…Spectral efficiency is achieved by using the distributed power control (DPC) strategies [21]. In [22] DPC method is utilized with KKT optimization problem with proposed price factor, By studying the above-mentioned literature [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22], there is no discussion of the robust distributed power control method with resource allocation for D2D communication and reliable framework for the power optimization in D2D communication. By keeping the view of the above discussed literature gap, the following mentioned work is done.…”

A Fuzzy Method for Joint Resource Allocation and Stable Pairing in D2D Communications with Applications in COVID-19 Patient Information Management

“…This problem is investigated and studied in various approaches in the literature [7][8][9][10][11][12][13] . The nearest transmitter is considered to be the best transmitter in [7][8][9][10] , but the nearest transmitter is not necessarily the best [11][12][13] .…”

“…This problem is investigated and studied in various approaches in the literature [7][8][9][10][11][12][13] . The nearest transmitter is considered to be the best transmitter in [7][8][9][10] , but the nearest transmitter is not necessarily the best [11][12][13] . Our approach to pairing is similar to those of [11][12][13] , except that we consider the problem of multi-user pairing and resource allocation.…”

Joint Resource Allocation Algorithm for D2D Communication in 5G Wireless Networks

“…Interference management is a critical issue for D2D underlay networks of cellular type in which D2D and cellular communications [12] are existing in networks at the same time. For limiting the interferences to the existing cellular users (CUs), restricting the D2D links' transmitting energy as well as the distancing of the D2D pair clients is [13] suggested. D2D communication is introduced as a promising technique [14].…”