Authors: Mohammad Tauhidul Islam; Abd-Elhamid M. Taha; Selim Akl
Addresses: School of Computing, Queen's University, Kingston, Ontario, K7L 2N8, Canada ' College of Engineering, Alfaisal University, P.O. 50927 Box, Riyadh 11533, Saudi Arabia ' School of Computing, Queen's University, Kingston, Ontario, K7L 2N8, Canada
Abstract: As the numbers of smart devices increases, proximity-based services have enabled device-to-device (D2D) communication to be regarded as one of the major communication paradigms. In underlaying D2D, the devices communicating with each other directly use shared cellular resources. In this paper we propose a minimum knapsack-based interference aware resource allocation algorithm (MIKIRA) for D2D communication underlaying cellular networks. We compare the system sum rates, interference and signal-to-interference-and-noise-ratios (SINR) of MIKIRA with a graph-based resource allocation (GRA) algorithm and random allocation. In our three different sets of experiments with different percentages of D2D pairs in the total number of cellular users in the network, we observe that MIKIRA performs better than the other algorithms in terms of interference and SINR, and obtains a similar system sum rate. MIKIRA (O(n2 log(n))) is also computationally more efficient when compared with the GRA (O(n3)), which makes it suitable for use in the LTE scheduling period of 1 ms.
Keywords: resource allocation; minimum knapsack; device-to-device; D2D; cellular networks; underlaying; spectrum sharing.
International Journal of Autonomous and Adaptive Communications Systems, 2018 Vol.11 No.3, pp.232 - 251
Received: 25 Feb 2016
Accepted: 06 Feb 2017
Published online: 19 Jul 2018 *