The Combination of Resource Allocation and Interference Alignment for Ultra-Dense Heterogeneous Cellular Networks

The Combination of Resource Allocation and Interference Alignment for Ultra-Dense Heterogeneous Cellular Networks

Yun Meng, Yuan Dong, Song Shi
ISBN13: 9781522517122|ISBN10: 152251712X|EISBN13: 9781522517139
DOI: 10.4018/978-1-5225-1712-2.ch006
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MLA

Meng, Yun, et al. "The Combination of Resource Allocation and Interference Alignment for Ultra-Dense Heterogeneous Cellular Networks." Interference Mitigation and Energy Management in 5G Heterogeneous Cellular Networks, edited by Chungang Yang and Jiandong Li, IGI Global, 2017, pp. 139-161. https://doi.org/10.4018/978-1-5225-1712-2.ch006

APA

Meng, Y., Dong, Y., & Shi, S. (2017). The Combination of Resource Allocation and Interference Alignment for Ultra-Dense Heterogeneous Cellular Networks. In C. Yang & J. Li (Eds.), Interference Mitigation and Energy Management in 5G Heterogeneous Cellular Networks (pp. 139-161). IGI Global. https://doi.org/10.4018/978-1-5225-1712-2.ch006

Chicago

Meng, Yun, Yuan Dong, and Song Shi. "The Combination of Resource Allocation and Interference Alignment for Ultra-Dense Heterogeneous Cellular Networks." In Interference Mitigation and Energy Management in 5G Heterogeneous Cellular Networks, edited by Chungang Yang and Jiandong Li, 139-161. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1712-2.ch006

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Abstract

Different with the traditional resource allocation problems, the consistency of resource occupation and the diversity of interference of participants in interference alignment (IA) clusters bring about the complexity in the combination of resource allocation and IA. Therefore, this chapter gives a transformed conflict graph-based solution framework which considers the low complexity of chordal graph, where the selection criteria of IA clusters are determined by the influence of IA on the resource occupation and the interference. The simulation results show that the proposed schemes can improve the network performance.

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