Resource Allocation and Performance Analysis of Cellular-Assisted OFDMA Device-to-Device Communications

Kai, Yuan, Wang, Junyuan, Zhu, Huiling and Wang, Jiangzhou (2018) Resource Allocation and Performance Analysis of Cellular-Assisted OFDMA Device-to-Device Communications. IEEE Transactions on Wireless Communications, 18 (1). pp. 416-431. ISSN 1536-1276 DOI https://doi.org/10.1109/TWC.2018.2880956

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Abstract

Resource allocation of cellular-assisted device-to-device (D2D) communication is very challenging when frequency reuse is considered among multiple D2D pairs within a cell, as intense inter D2D interference is difficult to tackle and generally causes extremely large signaling overhead for channel state information (CSI) acquisition. In this paper, a novel resource allocation framework for cellular-assisted D2D communication is developed with low signaling overhead while maintaining high system capacity. By utilizing the spatial dispersion property of the D2D pairs, a geography-based sub-cell division strategy is proposed to divide the cell into multiple sub-cells and the D2D pairs within one sub-cell are formed into one group. Then, sub-cell resource allocation is performed independently among the sub-cells without the need of any prior knowledge of inter D2D interference. Under the proposed resource allocation framework, a tractable approximation for the inter D2D interference modeling is obtained and a computationally efficient expression for the average ergodic sum capacity of the cell is derived. The expression further allows us to obtain the optimal number of sub-cells, which is an important parameter for maximizing the average ergodic sum capacity of the cell. It is shown that with small CSI feedback, the system capacity can be improved significantly by adopting the proposed resource allocation framework, especially in dense D2D deployed systems.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computing and Information Systems
Date Deposited: 10 Jan 2019 14:34
URI: http://repository.edgehill.ac.uk/id/eprint/10963

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