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https://dspace.iiti.ac.in/handle/123456789/5278
Title: | Outage Probability Analysis of Shared UE-Side Distributed Antenna System Based Cooperative AF Relaying Network for 5G Systems |
Authors: | Bhatia, Vimal |
Keywords: | 5G mobile communication systems;Antennas;Electric relays;Forward scattering;Intelligent systems;Millimeter waves;Mobile telecommunication systems;Monte Carlo methods;Orthogonal frequency division multiplexing;Amplify-and-forward relaying;Distributed antenna system;High data rate transmission;Millimeter waves (mmwave);Orthogonal frequency division multiple access;Outage probability analysis;Rayleigh distributions;Selection combining receivers;Frequency division multiple access |
Issue Date: | 2017 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Singya, P. K., Kumar, N., Bhatia, V., & Khan, F. A. (2017). Outage probability analysis of shared UE-side distributed antenna system based cooperative AF relaying network for 5G systems. Paper presented at the IEEE Vehicular Technology Conference, , 2017-June doi:10.1109/VTCSpring.2017.8108244 |
Abstract: | In this paper, a 3-hop orthogonal frequency division multiple access (OFDMA) based variable- gain amplify and forward (AF) relaying network with selection combining receiver is considered, which is based on a scattered infrastructure known as shared user equipment (UE)-side distributed antenna system (SUDAS). The considered system model uses millimeter wave (mmWave) wireless links along with ultra high frequency (UHF) links, which can provide high data rate transmission (targeted for 5G systems). Wireless links are considered to be independent but non-identically distributed (i.n.i.d.), since Rician and Rayleigh distributions are preferred for mmWave and UHF links, respectively. In this work, closed-form expressions for the lower and upper bound of the outage probability are derived for the system under consideration. Derived analytical results are verified through Monte-Carlo simulations and impact of the Rician K-factor(s) of the considered links is also highlighted. © 2017 IEEE. |
URI: | https://doi.org/10.1109/VTCSpring.2017.8108244 https://dspace.iiti.ac.in/handle/123456789/5278 |
ISBN: | 9781509059324 |
ISSN: | 1550-2252 |
Type of Material: | Conference Paper |
Appears in Collections: | Department of Electrical Engineering |
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