Research Repository

Frequency resource allocation strategy with QoS support in hybrid cellular and Device-to-Device networks

Wang, Zhibo and Tian, Hui and Yang, Kun and Liu, Ziqiang (2015) 'Frequency resource allocation strategy with QoS support in hybrid cellular and Device-to-Device networks.' International Journal of Communication Systems, 28 (7). pp. 1201-1218. ISSN 1074-5351

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Hybrid networks, comprising a conventional cellular network overlaid with Device-to-Device (D2D), offer efficient way to improve system throughput. In this paper, a novel orthogonal frequency-division multiple access channel-assignment method is proposed for hybrid network. The proposed approach is optimal in terms of throughput and is subjected to a sensible QoS requirement, which guarantees that macrocell and D2D achieve a prescribed data rate and outage probability, respectively. Our solution consists of two phases. In the first phase, the minimum sub-channels are allocated to the macrocell to satisfy their data rate requirements. This problem is mapped to the 0-1 Knapsack Problem and solved by integer programming based Lagrange dual approach. In the second phase, the redundant sub-channels are allocated to D2D pairs to maximize the throughput of D2D networks. An interference management scheme is proposed to guarantee the outage probability of D2D communications. A cluster is taken as the unit for frequency reuse among D2D pairs. The problem of clustering is mapped to the MAX k-CUT problem in graph theory and is solved by graph-based heuristic algorithm. Extensive simulations demonstrate the superior performance of the proposed solution compared with the existing scheme.

Item Type: Article
Uncontrolled Keywords: hybrid network; device-to-device; frequency allocation; outage probability
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 05 Dec 2014 14:43
Last Modified: 15 Jan 2022 00:37

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