A low-complexity QoS aware resource allocation algorithm for multi pair device-to-device (D2D) communications
Bagheri, Hamidreza; Miranda Bonomi, Fernando Alberto; Katz, Marcos (2017-05-17)
Bagheri H, Miranda Bonomi FA, Katz M. A low‐complexity QoS aware resource allocation algorithm for multi pair device‐to‐device (D2D) communications. Trans Emerging Tel Tech. 2017;28:e3186. https://doi.org/10.1002/ett.3186
© 2017 John Wiley & Sons, Ltd. This is the peer reviewed version of the following article: Bagheri H, Miranda Bonomi FA, Katz M. A low‐complexity QoS aware resource allocation algorithm for multi pair device‐to‐device (D2D) communications. Trans Emerging Tel Tech. 2017;28:e3186. https://doi.org/10.1002/ett.3186, which has been published in final form at https://doi.org/10.1002/ett.3186. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Device‐to‐device (D2D) communication underlaying cellular networks is considered a promising technology to enhance network throughput, spectral efficiency, and performance of next generation networks. However, these potential gains hinge on the exploiting mechanism for resource sharing between cellular users (CUs) and D2D pairs. In this paper, we analytically formulate the problem of resource sharing as an optimization problem to maximize network throughput while guaranteeing the required quality‐of‐service (QoS) for both cellular and D2D users. We propose a low‐complexity four‐step resource allocation algorithm to address the optimization problem. We exploit a distance‐based method to derive a resource reuse candidacy graph (RCG) and three exclusive regions (ERs) to evaluate the suitability of resource sharing between each CU and D2D pair. Then, we use a paring mechanism to find the optimal set of D2D pairs for spectrum sharing with each CU to maximize network throughput. The performance of the proposed algorithm is investigated in terms of network throughput, outage probability, and computational complexity. Numerical results show that the proposed algorithm provides high throughput and spectrum utilization with low complexity while efficiently guaranteeing QoS for CUs and D2D pairs.
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