Energy efficiency optimization-oriented control plane and user plane adaptation with a frameless network architecture for 5G

Xiaodong Xu,Rui Gao,Xiaofeng Tao,Ya Liu,Xun Dai

doi:10.1186/s13638-015-0403-5

Abstract

In order to fully explore the merits of the multi-tier heterogeneous network (HetNet) and ultra-dense small cell deployments, the evolution of the cellular network architecture is on the way. Based on the frameless network architecture, this paper proposes the control plane (CP) and user plane (UP) adaptation strategy to improve the system energy efficiency (EE). In this paper, we give a three-step system EE optimization with constraints on the CP/UP adaptation. We optimize the system EE via CP and UP construction and adaptation while guaranteeing the user quality of service (QoS). In the first step, the CP construction and adaptation scheme is proposed through the Voronoi Diagram with EE improvements. In the second step, by jointly allocating the AE and subchannel resources, we construct the on-demand user-centric UP. In the last step, based on the UP construction from the second step, we adjust each UP to optimize the EE performance. This is achieved by employing game theory. Furthermore, we verify the existence and uniqueness of the Nash Equilibrium for the non-cooperative game model with pricing. Finally, the system-level simulation results show that, with constraints on the QoS of the users, the system EE performances are improved.

Highlights

The mobile Internet applications and versatile mobile services are affecting every aspect of our daily life
The constraints for the control plane (CP)/user plane (UP) separation-based adaptation are presented and the system EE performance optimization problem is designed as a three-step scheme
The CP is constructed with the Voronoi Diagram to achieve better system EE

Summary

Introduction

The mobile Internet applications and versatile mobile services are affecting every aspect of our daily life. E.g., the user-centric frameless coverage definition with coordinated serving set construction, centralized resource management, CP/UP separation and adaptation, were considered and found to support the FNA networking. The function of the CPE is to maintain the networking, implement the signal processing, handle the CP and UP, manage the radio resources including the connected AEs, and construct on-demand user-centric serving set for specific users. 4.2 Generic algorithm-based centralized resource allocation In the FNA, the UP construction process is jointly and simultaneously allocating two dimensions of resources (AEs and subchannels) to users with different QoS requirements. Such a multi-dimensional resource allocation problem can be solved by using the resource pooling-based centralized RRM scheme [9]. After that, based on the UP construction parameters, the UP adaptation via a power adjustment scheme can be implemented to further optimize the EE performance

Game theory model for the UP adaptation

Findings

Conclusions