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

Kai, Yuan and Wang, Junyuan and Zhu, Huiling and Wang, Jiangzhou (2018) Resource Allocation and Performance Analysis of Cellular-assisted OFDMA Device-to-Device Communications. IEEE Transactions on Wireless Communications, . ISSN 1536-1276. (doi:https://doi.org/10.1109/TWC.2018.2880956) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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Abstract

Resource allocation of cellular-assisted device-todevice (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 D2D pairs, a geography-based sub-cell division strategy is proposed to divide the cell into multiple sub-cells and D2D pairs within one sub-cell are formed into one group. Then, sub-cell resource allocation is performed independently among 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 modelling 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, system capacity can be improved significantly by adopting the proposed resource allocation framework, especially in dense D2D deployed systems.

Item Type: Article
Uncontrolled keywords: Device-to-Device (D2D) communications, resource allocation, intra-cell interference, cellular networks
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunications > TK5103.4 Broadband (inc wireless broadband)
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK6540 Radio > TK6570.M6 Mobile communication systems
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Broadband & Wireless Communications
Depositing User: Huiling Zhu
Date Deposited: 28 Dec 2018 18:10 UTC
Last Modified: 08 Jan 2019 15:17 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/69997 (The current URI for this page, for reference purposes)
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