Markovian Queueing Model for Throughput Maximization in D2D-Enabled Cellular Networks
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Date
2018
Authors
Gbenga-Ilori, A.O.
Sanusi, O.I.
Journal Title
Journal ISSN
Volume Title
Publisher
IAES International Journal of Electrical and Computer Engineering
Abstract
Device-to-Device (D2D) communication has been considered a key enabling technology
that can facilitate spectrum sharing in 4G and 5G cellular networks. In order to
meet the high data rate demands of these new generation cellular networks, this paper
considers the optimization of available spectrum resource through dynamic spectrum
access. The utilization of continuous-time Markov chain (CTMC) model for efficient
spectrum access in D2D-enabled cellular networks is investigated for the purpose of determining
the impact of this model on the capacity improvement of cellular networks.
The paper considers the use of CTMC model with both queueing and non-queueing
cases called 13-Q CTMC and 6-NQ CTMC respectively with the aim of improving the
overall capacity of the cellular network under a fairness constraint among all users. The
proposed strategy consequently ensures that spectrum access for cellular and D2D users
is optimally coordinated by designing optimal spectrum access probabilities. Numerical
simulations are performed to observe the impact of the proposed Markovian queueing
model on spectrum access and consequently on the capacity of D2D-enabled cellular
networks. Results showed that the proposed 13-Q CTMC provides a more spectrum efficient
sharing scheme, thereby enabling better network performances and larger capabilities
to accommodate more users.
Description
Keywords
Device-to-Device (D2D) 5G cellular networks continuous-time Markov chain (CTMC) queueing model spectrum access