Architectural Challenges and Solutions for Collocated LWIP - A Network Layer Perspective

S, Thomas Valerrian Pasca and P C, Amogh and Mishra, D and Dheeravath, N and Rangisetti, A K and Tamma, B R and Franklin, A A (2017) Architectural Challenges and Solutions for Collocated LWIP - A Network Layer Perspective. arXiv. pp. 1-7.

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Abstract

Achieving a tighter level of aggregation between LTE and Wi-Fi networks at the radio access network (a.k.a. LTE-Wi-Fi Aggregation or LWA) has become one of the most prominent solutions in the era of 5G to boost network capacit y and improve end user's quality of experience. LWA offers flexible resource scheduling decisions for steering user tr affic via LTE and Wi-Fi links. In this work, we propose a Collocated LTE/WLAN Radio Level Integration architecture at IP layer (C-LWIP), an enhancement over 3GPP non-collocated LWIP architecture. We have evaluated C-LWIP performance in vari ous link aggregation strategies (LASs). A C-LWIP node ( i.e. , the node having collocated, aggregated LTE eNodeB and Wi-Fi access point functionalities) is implemented in NS-3 which introd uces a traffic steering layer ( i.e. , Link Aggregation Layer) for efficient integration of LTE and Wi-Fi. Using extensive simulations, we verified the correctness of C-LWIP module in NS-3 and evaluat ed the aggregation benefits over standalone LTE and Wi-Fi netwo rks with respect to varying number of users and traffic types. We found that split bearer performs equivalently to switched b earer for UDP flows and switched bearer outperforms split bearer in the case of TCP flows. Also, we have enumerated the potential challenges to be addressed for unleashing C-LWIP capabilit ies. Our findings also include WoD-Link Aggregation Strategy whi ch is shown to improve system throughput by 50% as compared to Naive-LAS in a densely populated indoor stadium environmen t.

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IITH Creators:
IITH CreatorsORCiD
Tamma, B RUNSPECIFIED
Franklin, A AUNSPECIFIED
Item Type: Article
Subjects: ?? NWRK ??
Computer science > Big Data Analytics
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 19 Apr 2017 05:12
Last Modified: 19 Apr 2017 05:12
URI: http://raiith.iith.ac.in/id/eprint/3179
Publisher URL: https://arxiv.org/pdf/1704.03873.pdf
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