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http://dx.doi.org/10.3837/tiis.2015.02.003

Pilot Symbol Assisted Weighted Data Fusion Scheme for Uplink Base-Station Cooperation System  

Zhang, Zhe (School of Information Engineering, Zhengzhou University)
Yang, Jing (School of Information Engineering, Zhengzhou University)
Zhang, Jiankang (School of Information Engineering, Zhengzhou University)
Mu, Xiaomin (School of Information Engineering, Zhengzhou University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.9, no.2, 2015 , pp. 528-544 More about this Journal
Abstract
Base Station Cooperation (BSC) has been a promising technique for combating the Inter-Cell Interference (ICI) by exchanging information through a high-speed optical fiber back-haul to increase the diversity gain. In this paper, we propose a novel pilot symbol assisted data fusion scheme for distributed Uplink BSC (UBSC) based on Differential Evolution (DE) algorithm. Furthermore, the proposed scheme exploits the pre-defined pilot symbols as the sample of transmitted symbols to constitute a sub-optimal Weight Calculation (WC) model. To circumvent the non-linear programming problem of the proposed sub-optimal model, DE algorithm is employed for searching the proper fusion weights. Compared with the existing equal weights based soft combining scheme, the proposed scheme can adaptively adjust the fusion weights according to the accuracy of cooperative information, which remains the relatively low computational complexity and back-haul traffic. Performance analysis and simulation results show that, the proposed scheme can significantly improve the system performance with the pilot settings of the existing standards.
Keywords
Uplink base station cooperation; inter-cell interference; weighted data fusion; pilot symbols; differential evolution algorithms;
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