M. Arthi

An efficient Relay Station deployment scheme based on the coverage and budget constraints in Multi-hop Relay networks

Optimum deployment of Relay Station (RS) is considered as the most important issue especially for the users near cell boundary. The Multi hop Relay (MHR) network introduces the RS for the purpose of extended coverage and increased throughput. The main objective of this work is to provide a better Quality of Service (QoS) with a minimum deployment cost. In this paper, we identify the candidate positions of RS that will achieve maximum system capacity. Based on the relay location, we propose two algorithms based on coverage and budget constraints. The simulation results indicate that the proposed algorithms achieved a reasonable coverage ratio within the budget constraint.

An uniform clustering based coverage and cost effective placement of serving nodes for 5G

In cellular communication, placement of evolved node base station (eNB) is an important issue. It determines the cost to construct, capacity, coverage ratio and quality of service (QoS). In 2G and 3G standards, eNBs have similar coverage range. The idea of heterogeneous network (HetNet) is launched in long term evolution-advanced (LTE-A), where the network contains different eNBs of different coverage ranges. The HetNet contains both large power macro-cells and less power small-cells such as pico, femto and relay nodes. But the placement of different eNBs is very difficult. We have proposed a four phase scheme for the placement of different eNBs based on uniform clustering concepts. Our placement scheme chooses optimal eNB sites from the candidate sites in the service area. Also according to the constraint of power on each eNB, it will alter the range of cell to offer the proper coverage while satisfying the demands of user. From the simulation outcomes, it is proved that our suggested scheme reduces the system cost and also provides better coverage ratio under the power constraints.

A cost-effective eNB deployment strategy for beyond 4G heterogeneous cellular networks

The recent development of mobile communications, has led to the increment of number of users that network operators need to serve. To cope with the increasing demand of users, the deployment of evolved node base stations (eNB) is an open issue in the present scenario. In our work, focus is on developing a cost-effective and power-efficient eNB deployment framework for Heterogeneous Cellular Networks (HCNs). HCNs are look upon as an integral part of the mobile communication systems. Conventional systems considered eNBs having identical coverage area for deployment while in our paper, for beyond 4G standard HCNs considers distinct size of coverage area. In this paper, an uniform clustering algorithm is proposed for eNB deployment scheme where small low power cells like microcells and picocells are deployed along with the high power macro cells to improve the throughput and spectral efficiency with least cost.

A novel fuzzy logic based relay station selection scheme for 4G cellular system

In 4G and beyond 4G cellular communication systems, multi-hop relay network (MHR) plays a vital role. Improper deployment of relay station (RS) in MHR network creates some severe issues. The conventional studies on RS deployment have not considered the practical issue of link overloading. In this paper, a two-phase, fuzzy based selection and deployment scheme for RSs is proposed by considering link overloading issue. The study also analyses the trade-off between deployment budget, network throughput and overall service coverage. Simulation results show that the proposed scheme performs better than the conventional scheme.

Interference mitigation in two-tier femto networks with Sleep mode activation

Femto cell networks are becoming very popular in indoor home and small business environments. Femto cells will introduce more interference since all of them work on same frequency band. This limits the capacity of femto cell users. Femto cells may also introduce interference to macro cell users, this again reduces the capacity of Macro cell users. The interference has to be mitigated to improve the capacity of the users. In this work, Sleep mode activation based algorithm is proposed to mitigate the effect of co-tier and cross-tier interference. The simulation results prove that the proposed algorithm improves the Signal to Interference plus Noise Ratio (SINR) when compared no sleep mode based algorithms.