Interference coordination for millimeter wave communications in 5G networks for performance optimization

Jiao Wang,Mingzhe Li,Jay Weitzen,Oguz Bayat,Volkan Sevindik

doi:10.1186/s13638-019-1368-6

Abstract

To address the increasing data rate demands for future wireless networks, a dense deployment of base stations or access points is the most promising approach; however, doing so may cause high intercell interference (ICI). Numerous interference coordination (IC) approaches have been proposed to reduce ICI. Conducting 5G communication on millimeter wave (mmWave) bands is more complex because of its higher propagation losses and greater attenuation variance, all of which depend on environment change. Massive antenna arrays with beamforming techniques can be used to overcome high propagation loss, reduce interference, deliver performance gains of coordination without a high overhead, and deliver high network capacity with multiplex transmitters. The central challenge of a massive antenna array that uses beamforming techniques is coordinating the users and beams for each transmitter within a large network. To address this challenge, we propose a novel two-level beamforming coordination approach that partitions a large network into clusters. At the intracluster level, this approach performs intracluster coordination similar to the user selection algorithms in a multiuser multiple input and multiple output (MU-MIMO); doing this maximizes the utility function or minimizes the signal-to-interference-plus-noise ratio (SINR) function within a cluster. A dynamic time domain IC approach is employed at the intercluster level, collecting interference information for cluster-edge user equipment (UE) and allocating the UE dynamically among the clusters to reduce the intercluster interference for a switched-beam system (SBS). Simulation results show that the proposed two-level IC approach achieves a higher edge user performance or cell capacity than with the current uncoordinated/coordinated approaches.

Highlights

The continued evolution of cellular networks has come with increased expectations for higher data rates
soft frequency reuse (SFR) splits the frequency band into N segments and uses a dedicated segment for edge user equipment (UE) with higher transmit power [7
An array systems (AAS) can create a special beam for each user; this is accomplished by using a series of adaptive array processors that apply weight vectors to the received and transmitted signals to control the relative phase between the antenna elements and their amplitude distribution

Summary

Introduction

The continued evolution of cellular networks has come with increased expectations for higher data rates. Operators tend to allocate the same frequency band to densely deployed neighbor cells, that is, with a frequency reuse factor of one or a universal frequency reuse (UFR) factor [1] to save spectrum This deployment creates high interference among users who use the same. An AAS can create a special beam for each user; this is accomplished by using a series of adaptive array processors that apply weight vectors to the received and transmitted signals to control the relative phase between the antenna elements and their amplitude distribution In this way, specific beam patterns can be produced, directing the main lobe toward the desired MS and the nulls toward the interfering signals [34]. The remainder of the present paper is organized as follows: Section 2 formulates the problem, Section 3 describes the proposed approach, Section 4 describes the simulation methodology, Section 5 presents the simulation results, Section 6 shows the complexity analyses, and Section 7 concludes the paper

Problem description

Intracluster scheduling

Conclusion