Soft Frequency Reuse With Allocation of Resource Plans Based on Machine Learning in the Networks With Flying Base Stations

Abstract

Flying base stations (FlyBSs) enable ubiquitous communications in the next generation mobile networks with a flexible topology. However, a deployment of the FlyBSs intensifies interference, which can result in a degradation in the throughput of cell-edge users. In this paper, we introduce a flexible soft frequency reuse (F-SFR) that enables a self-organization of a common SFR in the networks with an unpredictable and dynamic topology with the FlyBSs. We propose a graph theory-based algorithm for an allocation of resource plans, which is understood as a bandwidth allocation and a transmission power setting in the context of SFR. Furthermore, we introduce a low-complexity implementation of the proposed resource allocation using deep neural network (DNN) to significantly reduce the computation complexity. We show that the proposed F-SFR increases the throughput of cell-edge users by 16% to 26% and, at the same time, improves the satisfaction of the cell-edge users by up to 25% compared to the state-of-the-art solutions. We also demonstrate that the proposed scheme ensures a higher fairness in the throughput among the users with respect to the state-of-the-art solutions. The implementation via DNN also outperforms all state-of-the-art solutions despite its very low complexity.

Dynamic resource allocation and interference coordination for millimeter wave communications in dense urban environment

“…Additionally, numerous resource allocation methods based on frequency reuse techniques have been developed for 5G communication in cellular networks. [30][31][32][33][34][35] In the proposed technique, 30 macro users located in the intermediary region (the border of the center region) are served more resources due to good channel conditions close to the serving base station, while femto users are assigned resource blocks from sub-bands. In terms of throughput and outage performance, numerical findings claim that the proposed system has better results than the previous techniques.…”

“…In terms of throughput and outage performance, numerical findings claim that the proposed system has better results than the previous techniques. Hossain et al 31 offered a graph theory‐based method for allocation of resource plans, which defines as bandwidth allocation and transmission power setting. In addition, they presented a low‐complexity implementation of the suggested resource allocation utilizing a deep neural network that remarkably reduced computation complexity.…”

Experimental Evaluation of Transmitted Signal Distortion Caused by Power Allocation in Inter-Cell Interference Coordination Techniques for LTE/LTE-A and 5G Systems

“…For instance, they are possible using narrow-band transmit power (RNTP) indicator exchange through the X2 interface [2], [3]. In any case, from the early stages of the 4G definition to the present 5G context, a large number of works have studied ICI management based on these low-complexity schemes, resulting in the proposal of many derived variants for 4G and 5G [1]- [5], [8], [10]- [14]. First deployments of 5G networks have been made using OFDMA and proposals for new multiple access techniques are also based on OFDMA, thus, ICIC techniques derived from FFR and SFR remain an important issue to facilitate spatial reuse in both DL [10]- [13] and UL [14].…”

“…By properly adjusting (for instance, from 0 dB to 10 dB), the operator can control the tradeoff between improving the average cell throughput (low values) and the cell edge throughput (high values). Recently, in [10], the authors propose a flexible soft frequency reuse (F-SFR) that enables a self-organization of a common SFR in the networks with an unpredictable and dynamic topology of flying base stations. Authors propose a graph theory-based algorithm for bandwidth allocation and for a transmission power setting in the context of SFR.…”

“…1.a illustrate examples of the well-known soft frequency reuse (SFR) and fractional frequency reuse (FFR) schemes, which will be described later. In fact, ICIC derived from FFR and SFR schemes continues to be an important issue to facilitate spatial reuse in both DL [10]- [13] and UL [14] of 5G networks.…”