Heterogeneous network optimization using robust power-and-resource based algorithm

Abstract

<p>In order to meet the increasing mobile data-traffic, spatial densification of network with several low-power nodes, the high-power macro BS and HetNet are the major key enabling solution. However, the HetNet is unplanned in nature, causes irregularities and interferences that without any user association rules. The appropriate deployment of the femto-cell in HetNet can provide effective traffic offloading, where the alleviate mobbing in the macro-cells can decrease the power consumption therefore it optimizes the user experience. Moreover, the protection is also important for the macro and femto cell users in a network through maintaining the min-max level of interferences. In this paper, we proposed RPRA that comprises two robust approach such as robust power-controller and the robust channel-allocation approach, which can improve the spectral efficiency and user experiences at lower network coverage areas via eliminating the week coverage zones. Also provide high user rate connection by effective interference in an efficient spectrum, lowering in transmission power and cost-effectiveness via less time delay. To show the effectiveness of our proposed model we have compared with several existing techniques and we got significant improvement in throughput, also reduction in time delay and transmission power.</p>

User Association Strategy for Energy Efficiency and Interference Mitigation of Heterogeneous Networks

“…In [15] proposed algorithm of power control with mobility prediction to evaluate far radio head switching processes in a heterogeneous cloud radio access network (H-CRAN) to enhance energy efficiency. In [16] presented a joint optimization approach that considers the BS sleep model for ameliorating the energy-efficiency of HetNet. In [17] elaborate algorithm a Small-BS on/off switching based on the 2 Advances in Materials Science and Engineering optimum distance to decrease power consumption in the network.…”

Pedestrian mobility management for heterogeneous networks

“…On the other hand, to ensure seamless connectivity and access to ubiquitous mobile services, switching from one network to another, is done through an efficient handover mechanism [6]- [13]. In a heterogeneous environment [4], [8], [10], [13]- [18] involving several static and dynamic parameters, the network selection decision is a critical component and represents a difficult task to make the handover decision for any mobile user. However, A robust solution to the problem of inefficient spectrum use and handover decision-making is cognitive radio technology [1]- [5].…”