Paper Info
Title
Coverage and rate analysis in two‐tier heterogeneous networks under suburban and urban scenarios
Abstract
AbstractAbstractMassive boost in data traffic demand and inconsistent user's behavior have necessitated modern cellular networks to evolve toward heterogeneous architectural framework consisting of macro and small cells to accommodate ever‐increasing user's density. Literature survey reveals that the deployment of additional small cells can encounter the booming coverage, capacity, and QoS constraints by maintaining the overall operational cost of the network. In this paper, at first, a suitable model based on nonhomogeneous Poisson point process (NHPPP) is designed for heterogeneous wireless network (HetNet) consisting of two‐tiers eNodeBs (Macro and Small Cell), where each of the tiers is differentiated in terms of transmitting power, eNodeB density, and supported data rate. Subsequently, analytical expressions are derived for coverage probability (CP) and average rate (AR) to assess the performance of the HetNet. The contribution of the paper further lies in integrating the K‐means clustering algorithm with NHPPP to find the optimal locations of the small cell eNodeBs for extended coverage and rate improvement. The proposed model is investigated under differently dense scenarios like urban and suburban areas in India. It establishes the requisite of an optimal number of small cells along with the traditional infrastructure to maximize the performance in terms of CP and AR. Finally, the proposed integrated model is compared with the traditional homogeneous Poisson point process (HPPP) and NHPPP for coverage and rate analysis. It is observed that the K‐means clustering algorithm in integration with NHPPP overshadows both HPPP and NHPPP in terms of coverage and rate under both urban and suburban deployment scenarios. View Figure In this paper, firstly, a model based on Nonhomogeneous Poisson point process (NHPPP) is designed for two‐tier heterogeneous wireless network (HetNet) (refer Figure 1A) under urban and suburban scenario density conditions. Subsequently, analytical expressions for coverage probability and average rate are derived to access the performance of the HetNet. Secondly, the deployment issue for SeNBs is optimally fixed using K‐means clustering algorithms on the top of NHPPP (refer to Figure 1B). The proposed model outperforms the existing literature when parameters like coverage probability and average rate are taken into consideration.
Year
DOI
Venue
2019
10.1002/ett.3648
Periodicals
Field
DocType
Volume
Computer science,Heterogeneous network,Distributed computing
Journal
30
Issue
ISSN
Citations 
12
2161-3915
1
PageRank 
References 
Authors
0.39
0
3
Name
Order
Citations
PageRank
Arijeet Ghosh110.39
Iti Saha Misra27519.05
Anindita Kundu3214.42