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

ZHAO Juntao; FENG Wei; ZHAO Ming; WANG Jing

doi:10.16511/j.cnki.qhdxxb.2016.21.028

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Journal of Tsinghua University(Science and Technology) ›› 2016, Vol. 56 ›› Issue (7) : 692-695. DOI: 10.16511/j.cnki.qhdxxb.2016.21.028

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

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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.

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

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ZHAO Juntao, FENG Wei, ZHAO Ming, WANG Jing. 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 https://doi.org/10.16511/j.cnki.qhdxxb.2016.21.028

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