Energy-Efficient Full-Duplex Concurrent Scheduling Based on Contention Graph in mmWave Backhaul Networks

Jing Li,Shiwen Mao,Zhangdui Zhong,Hao Wu,Yong Niu,Bo Ai

doi:10.1109/access.2019.2958347

Abstract

In the fifth generation (5G) era, dense deployment of small cells and full-duplex (FD) technology applications are two key features of millimeter-wave (mmWave) wireless communication systems, which offer the opportunity to meet the explosive growth of data service requirements. It is the beamforming and advances in analog as well as digital self-interference (SI) cancellation schemes that improve the network capacity in mmWave wireless backhaul networks. To achieve power saving and further network performance optimization, we propose a FD concurrent transmission mechanism employed in a mmWave backhaul network. Contention graph is constructed in consideration of multi-user interference (MUI), SI, and FD transmission constraints. Then flow-grouping and power control algorithms are proposed based on the contention graph. We evaluate the performance of the proposed algorithm in terms of energy consumption, achievable network throughput, and energy efficiency. The impact of the interference threshold on the system performance is also investigated when the distribution of base stations (BSs), traffic loads, and maximum transmission powers change. Simulation results illustrate that with proper SI cancellation and interference threshold, the proposed concurrent mechanism outperforms time-division multiple access (TDMA), half-duplex (HD) concurrent transmission, and FD concurrent transmission without power control.

Highlights

To meet the explosive growth of data rate and bandwidth requirements in new technologies such as Industrial Internet of Things (IIoT), Artificial Intelligence (AI) and big data analytics, millimeter-wave communications have been proposed to be one of the key technologies in the fifth generation (5G) cellular networks
Considering the principle of parallel transmission and FD advantages as well as practical constraints, we propose a concurrent scheduling algorithm which includes a flow-grouping algorithm and a power control algorithm, where the former is constructed based on an established contention graph, which effectively reduces the serious interference, and the latter devotes to reducing unnecessary energy consumption as well as enhancing network throughput
In this paper, to take advantage of advanced SI cancellation techniques, we proposed a FD concurrent transmission algorithm based on a contention graph for the mmWave backhaul network

Summary

INTRODUCTION

To meet the explosive growth of data rate and bandwidth requirements in new technologies such as Industrial Internet of Things (IIoT), Artificial Intelligence (AI) and big data analytics, millimeter-wave (mmWave) communications have been proposed to be one of the key technologies in the fifth generation (5G) cellular networks. Considering the principle of parallel transmission and FD advantages as well as practical constraints, we propose a concurrent scheduling algorithm which includes a flow-grouping algorithm and a power control algorithm, where the former is constructed based on an established contention graph, which effectively reduces the serious interference, and the latter devotes to reducing unnecessary energy consumption as well as enhancing network throughput. To ensure the QoS in the concurrent transmission system, the throughput of each flow under the proposed algorithm should be larger than or at least equal to Qi, which is achieved in the sequential TDMA mode. To achieve the goal of energy efficiency that requires lower energy consumption with higher network throughput, the power consumption minimization problem of all flows based on concurrent transmission scheduling and power control can be modelled by min aki 2 Pit ·θ k2 i k2 s.t.Constraints(11) − (15). We introduce an approach based on graph theory to simplify the problem and find a competitive solution

ENERGY EFFICIENT SCHEDULING

Findings

CONCLUSION