On the traffic offloading in Wi-Fi supported heterogeneous wireless networks

Ekti, A. R., Shakir, M. Z., Serpedin, E., Qaraqe, K. A. and Imran, M. A. (2016) On the traffic offloading in Wi-Fi supported heterogeneous wireless networks. Journal of Signal Processing Systems, 83(2), pp. 225-240. (doi:10.1007/s11265-015-1064-7)

132748.pdf - Accepted Version



Heterogeneous small cell networks (HetSNet) comprise several low power, low cost (SBSa), (D2D) enabled links wireless-fidelity (Wi-Fi) access points (APs) to support the existing macrocell infrastructure, decrease over the air signaling and energy consumption, and increase network capacity, data rate and coverage. This paper presents an active user dependent path loss (PL) based traffic offloading (TO) strategy for HetSNets and a comparative study on two techniques to offload the traffic from macrocell to (SBSs) for indoor environments: PL and signal-to-interference ratio (SIR) based strategies. To quantify the improvements, the PL based strategy against the SIR based strategy is compared while considering various macrocell and (SBS) coverage areas and traffic–types. On the other hand, offloading in a dense urban setting may result in overcrowding the (SBSs). Therefore, hybrid traffic–type driven offloading technologies such as (WiFi) and (D2D) were proposed to en route the delay tolerant applications through (WiFi) (APs) and (D2D) links. It is necessary to illustrate the impact of daily user traffic profile, (SBSs) access schemes and traffic–type while deciding how much of the traffic should be offloaded to (SBSs). In this context, (AUPF) is introduced to account for the population of active small cells which depends on the variable traffic load due to the active users.

Item Type:Articles
Additional Information:This work was supported by NSF Award No. 1318338.
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Ekti, A. R., Shakir, M. Z., Serpedin, E., Qaraqe, K. A., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering
Journal Name:Journal of Signal Processing Systems
ISSN (Online):1939-8115
Published Online:31 October 2015
Copyright Holders:Copyright © 2015 Springer Science+Business Media
First Published:First published in Journal of Signal Processing Systems 83(2): 225-240
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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