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

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 st...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2019-01, Vol.18 (1), p.416-431
Main Authors: Kai, Yuan, Wang, Junyuan, Zhu, Huiling, Wang, Jiangzhou
Format: Article
Language:English
Subjects:
Cell division
Cellular communication
cellular networks
Communications systems
Device-to-Device (D2D) communications
Device-to-device communication
Dispersion
Ergodic processes
Frequency reuse
Geography
Interference
intra-cell interference
OFDM
Optimization
Receivers
Resource allocation
Resource management
Signaling
Transmitters
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Summary: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.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2018.2880956