A Resource Allocation Scheme with Delay Optimization Considering mmWave Wireless Networks

Marcus V G Ferreira,Marcos N L Carvalho,Flávio H T Vieira

doi:10.4236/ijcns.2020.137007

Marcus V G Ferreira, Marcos N L Carvalho + Show 1 more

Open Access

https://doi.org/10.4236/ijcns.2020.137007

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Abstract

This paper presents a resource allocation scheme for wireless networks, aiming at optimizing the users’ data delay. It is proposed to provide optimal delay al-location by solving an optimization problem using idle state prediction and considering 5G characteristics such as mmWave propagation. The perfor-mance of the resource allocation algorithm is verified and compared with oth-ers from the literature using computational simulations in terms of Quality of Service (QoS) parameters such as throughput, delay, fairness index, loss rate and computational complexity. In these simulations, it is also considered the mmWave propagation and carrier aggregation technology for wireless next generation systems, in order to verify the system performance in a high data rate scenario.

Highlights

Aiming to support next-generation wireless networks, we address in this paper a scenario with millimeter waves above 6 GHz and a radio frame structure with spacing between sub-carriers of 120 kHz
GUAN et al [6] proposed an algorithm that aims to guarantee the minimum transmission rate criteria required by the user. This algorithm, called Quality of Service (QoS) guaranteed in this paper, first estimates the number of blocks required for each user and allocates these blocks to users according to their priorities
This paper proposed a resource block allocation scheme for mmWave wireless networks using current and next-generation techniques, aiming at optimizing the user data delay and maintaining high throughput levels

Summary

Introduction

GUAN et al [6] proposed an algorithm that aims to guarantee the minimum transmission rate criteria required by the user This algorithm, called Quality of Service (QoS) guaranteed in this paper, first estimates the number of blocks required for each user and allocates these blocks to users according to their priorities. FERREIRA et al (2015) [5] presented an algorithm, namely Min-delay algorithm, that considers estimated system delay values, channel quality and the maximum delay value for each user in order to decide on the scaling of available resources These algorithms do not apply optimization methods to directly minimize system delay for users as our proposal does. The present paper proposes a resource block allocation scheme for wireless networks considering current and next-generation techniques, aiming at optimizing the system delay and obtaining values for other QoS parameters compatible with those of other schedulers from the literature. Comparisons are made with other algorithms in the literature through statistical data in terms of QoS parameters, proving the efficiency of the proposed algorithm

Transmission System Model

Resource Allocation with Delay Optimization

Simulations and Results

26 Traffic average

Conclusions