Joint congestion control and resource allocation for energy-efficient transmission in 5G heterogeneous networks

Jain-Shing Liu,Heng-Chih Huang,Chun-Hung Lin

doi:10.1186/s13638-019-1532-z

Abstract

The deployment of small cells with carrier aggregation (CA) is a significant feature of fifth generation (5G) mobile communication systems which could be characterized by the multi-dimensional heterogeneity on their diversified requirements upon different resources. Taking the heterogeneity into account, we consider here a joint optimization problem wherein multiple kinds of resources are concurrently allocated to optimize the system throughput utility while enhancing the network energy efficiency (EE) and maintaining the system stability. Especially, for the high-dimensional non-deterministic polynomial (NP)-hard allocation problem embedded, we conduct a mathematical programming model involving nonlinear integer constraints to seek the long-term stable utility on throughput and introduce an iterative optimal modulation and coding scheme-based (optimal MCS-based) heuristic algorithm as an effective solver. In addition, as data traffic and channel condition will be time-varying in the real world, an admission control based on the Lyapunov technique that requires no prior knowledge on channel information is proposed to reduce the system overhead. Finally, not only the performance bound is derived in theory, but also the numerical experiments are conduced to reveal its characteristics with respect to the system parameter V and the EE requirement.

Highlights

For the generation of mobile internet connectivity, Fifth generation (5G) networks aim to offer increased data rate, shortened latency, improved energy efficiency, reduced cost, and other desired features
7.1 Environment setting we numerically evaluate our optimization algorithm through a simulation topology as shown in Fig. 2, wherein 1 Macro base station (MBS) and 3 small base stations (SBSs) are deployed, and each of them initially serves 3 user equipment (UE) located within its transmission range for their downlink transmissions before the resource allocation
Each UE in cell is conducted to dynamically change its position according to the random waypoint (RWP) model [33], and the channel condition is assumed to be varied time to time on each resource blocks (RBs) as that in [34]

Summary

Introduction

For the generation of mobile internet connectivity, 5G networks aim to offer increased data rate, shortened latency, improved energy efficiency, reduced cost, and other desired features. To this end, the communication society has proposed many techniques from different aspects such as dense heterogeneous networks, cloud-based radio access networks, energy-aware communications, and wireless energy harvesting [1]. Given CA, this system is still complicated by its requirement to modify the radio resource management (RRM) entity, including CC selection, RB allocation, modulation and coding scheme (MCS) assignment, and power allocation.

Methods

Results

Conclusion