On the comparison of performance, capacity and economics of terrestrial base station and high altitude platform based deployment of 4G

  • Authors:
  • Ali Imran;Majid Shateri;Rahim Tafazolli

  • Affiliations:
  • Center of Communication System Research, University of Surrey, Guildford, United Kingdom;Center of Communication System Research, University of Surrey, Guildford, United Kingdom;Center of Communication System Research, University of Surrey, Guildford, United Kingdom

  • Venue:
  • Proceedings of the 6th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
  • Year:
  • 2009

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Abstract

OFDM/OFDMA based physical layer, wide channel bandwidths and operation at higher frequency bands are the features common to all potential candidate 4G technologies in order to achieve unprecedented high data rates and better QoS. But these very features of 4G necessitate extraordinary small cell size in 4G Wireless Cellular Networks (WCN) to meet the link budgets. This makes an efficient and cost effective ubiquitous deployment solution for 4G WCNs a big challenge. This paper investigates two different deployment solutions for 4G WCNs and presents a comparison between them in terms of performance, capacity and deployment cost factors in relative terms. The first solution is conventional Terrestrial Base Stations based WCN with reduced cell size (TWCN) and second solution is 4G WCNs deployment via High Altitude Platform i.e. HWCN. WiMAX is taken as bench mark in this study as it is most well known standard that has all the aforementioned characterizing features of 4G technologies. The performance of HWCN and TWCN is evaluated through extensive system level simulations that model realistic details like link level performance, dynamic interference, and shadowing and propagation characteristics of the two systems. Effects of spectrum reuse factor, Adaptive Coding and Modulation (ACM) and user traffic type on the performance of two solutions are investigated and compared in detail. Finally a relationship between the relative deployment costs of the two systems is developed and used to assess the deployment costs of the two systems normalized over the capacity they offer in order to analyze their economic feasibility relative to each other.