Technoeconomical Analysis of Macrocell and Femtocell Based HetNet under Different Deployment Constraints

Abstract

Ultradense deployment of small cells is being considered as one of the key flavors of the emerging 5G cellular networks to address the future data capacity challenges. A large share of these deployments will be indoor, as this is the arena where the majority of the data traffic is believed to originate from in the future. Indoor small cell solutions (e.g., femtocell or WiFi) are well positioned for delivering superior indoor coverage and capacity. However, due to relatively smaller coverage footprint compared to traditional macrocells, a very dense deployment of small cells will be needed in order to have a ubiquitous indoor coverage. Such dense deployment triggers cost and energy efficiency concerns for mobile operators. In this paper, we analyze and compare the technoeconomic performance of two deployment strategies: homogeneous macrocellular densification and heterogeneous macro-femto deployment strategy, from an indoor service provisioning perspective. Particularly, we analyze and contrast the performance of macro-femto based deployment, with varying femtocell market penetration rate and under different femtocell backhaul connectivity constraints, with that of homogeneous macrocellular densification. The results indicate superior performance of indoor femtocell based deployment as compared to macrocellular-only densification, due to better indoor coverage, radio channel conditions, and high degree of spatial reuse.

Low Latency 5G Distributed Wireless Network Architecture: A Techno-Economic Comparison

“…Equations ( 4) and ( 5) [1] are the same but Equation ( 6) is for a small cell. Equations ( 1)-( 3) [18] all have a limitation; imbursement is always made at the end of the investment and this can affect the agreed payment plan or attract a penalty if the MNO defaults on payment. Fluctuation in the interest rate and inflation affect the amount to be paid.…”

“…Tema has an area of 565 km 2 [22] and a population of about 292,700 living in 40,956 houses. We will verify the economic performance of the models for MPICOC (small cell), MDAS (RRH) and femtocell [18]. An SA is performed on MPICOC (small cell), MDAS (RRH) and femtocell in a 50 km 2 area.…”

The importance of spatio-temporal infrastructure assessment: Evidence for 5G from the Oxford–Cambridge Arc

“…There is a need to analyze a full range of deployment options, as a lack of planning prior to deployment can result in significantly higher costs, and greater inefficiency in energy consumption. Such an approach is common in the engineering literature (Cano, Carello, Cesana, Passacantando, & Sansò, 2019;Frias & Pérez, 2012;Giglio & Pagano, 2019;Yunas, Ansari, & Valkama, 2016), but these techniques are rarely applied spatially, for example at the subnational level.…”