Resource pooling for frameless network architecture with adaptive resource allocation

Abstract

The system capacity for future mobile communication needs to be increased to fulfill the emerging requirements of mobile services and innumerable applications. The cellular topology has for long been regarded as the most promising way to provide the required increase in capacity. However with the emerging densification of cell deployments, the traditional cellular structure limits the efficiency of the resource, and the coordination between different types of base stations is more complicated and entails heavy cost. Consequently, this study proposes frameless network architecture (FNA) to release the cell boundaries, enabling the topology needed to implement the FNA resource allocation strategy. This strategy is based on resource pooling incorporating a new resource dimension-antenna/antenna array. Within this architecture, an adaptive resource allocation method based on genetic algorithm is proposed to find the optimal solution for the multi-dimensional resource allocation problem. Maximum throughput and proportional fair resource allocation criteria are considered. The simulation results show that the proposed architecture and resource allocation method can achieve performance gains for both criteria with a relatively low complexity compared to existing schemes.

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

“…Such a multi-dimensional resource allocation problem can be solved by using the resource pooling-based centralized RRM scheme [9]. The above scheme is processed by the CPE to manage all of the available resources uniformly.…”

“…Currently, there is significant research on the C-RAN, Open RAN, Soft Cell, and frameless network architecture (FNA) [6][7][8][9][10]. Based on the baseband pool, China Mobile Research Institute proposed C-RAN featuring a centralized base band unit, coordination, and cloud computing [6].…”

“…In [9,10], the concept of the FNA was given to explore the capacity gain in the network architecture evolution. Several important metrics, 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.…”

“…Multi-dimensional resource management is processed in the CPE with different optimization goals for different deployment scenarios. A uniform resource allocation strategy can take full advantage of centralized optimization that can improve the resource and energy efficiency, where [9] have already provided some results.…”

A QoE-based cell range expansion scheme in heterogeneous cellular networks

“…Heterogeneous networks (HetNets) have been adopted by Long Term Evolution Advanced system as a key technology to cope with the exponential increasing of data traffic [1,2]. Unlike traditional networks with single type base station (BS), the HetNets are deployed with various tiers of BSs (such as macro eNodeBs and low power nodes (LPNs)) to increase system throughput and improve the services experience of users at the cell edge or black holes as shown in Figure 1 [3][4][5].…”