Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5230
Title: Performance Analysis of Offloading in NOMA-HetNets using Imperfect CSI
Authors: Swami, Pragya
Bhatia, Vimal
Keywords: Base stations;Femtocell;Heterogeneous networks;Intelligent systems;Monte Carlo methods;Wireless networks;Heterogeneous cellular networks;Imperfect channel state information;Multiple access;offloading;Outage probability;Channel state information
Issue Date: 2018
Publisher: IEEE Computer Society
Citation: Swami, P., Bhatia, V., Vuppala, S., & Ratnarajah, T. (2018). Performance analysis of offloading in NOMA-HetNets using imperfect CSI. Paper presented at the International Symposium on Advanced Networks and Telecommunication Systems, ANTS, , 2018-December doi:10.1109/ANTS.2018.8710131
Abstract: The increase in number of cellular users had lead to the evolution from the traditional cellular networks to the more efficient heterogeneous cellular networks (HetNet) to handle the traffic. Offloading plays a vital role in handling the traffic from the congested macro base station by handing users to the less congested femto base stations (FBS). Further, non-orthogonal multiple access (NOMA) has proved to be efficient for the future generation networks. In this work, we study the offloading in HetNets, where the FBS tier serves the users using NOMA. Imperfect channel state information (CSI) is considered to analyze the outage probability of offloaded user, since, in practice CSI estimation requires significant system overhead, especially when the number of users are large. Hence, for practical systems, the analyses with imperfect CSI is more relevant. Some important observations regarding offloading to FBS tier with NOMA based on imperfect CSI are drawn. The analytical results are validated using Monte Carlo simulations. © 2018 IEEE.
URI: https://doi.org/10.1109/ANTS.2018.8710131
https://dspace.iiti.ac.in/handle/123456789/5230
ISBN: 9781538681343
ISSN: 2153-1684
Type of Material: Conference Paper
Appears in Collections:Department of Electrical Engineering

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