Resource optimization with large-scale channel state information for spectrum sharing systems

doi:10.16511/j.cnki.qhdxxb.2016.21.028

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Abstract In a distributed antenna-based spectrum sharing system (DSSS), both the channel allocation and the antenna selection are important issues for enhancing system performance. The system overhead can be controlled by a joint channel allocation and antenna selection scheme presented here that is based on only the large-scale channel state information. Particularly, the sum rate of the secondary users (SUs) is used as the optimization objective to formulate the optimization problem. The integer programming problem is transformed into a linear programming problem through variable relaxation to reduce the complexity. Simulations show that the system sum rate is significantly improved using only the large-scale channel state information. In practical applications where the system overhead is strictly limited, this scheme offers an effective way to balance the system overhead and performance gain.

Keywords mobile communication distributed antenna-based spectrum sharing system channel allocation antenna selection large-scale channel state information

ZTFLH:

TN929.5

Issue Date: 15 July 2016

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	ZHAO Juntao
	FENG Wei
	ZHAO Ming
	WANG Jing

Cite this article:

ZHAO Juntao,FENG Wei,ZHAO Ming, et al. Resource optimization with large-scale channel state information for spectrum sharing systems[J]. Journal of Tsinghua University(Science and Technology), 2016, 56(7): 692-695.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2016.21.028 OR http://jst.tsinghuajournals.com/EN/Y2016/V56/I7/692

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