Adaptive Bit Partitioning Strategy for Cell-Edge Users in Multi-Antenna Multicell Networks
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Özbek, Berna
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Yes
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Abstract
In this paper, we improve the performance of cell-edge users by applying adaptive bit partitioning for intercell interference cancelation in cooperative downlink multicell systems. The strategy for partitioning quantization bits between serving and interfering base stations affects the performance of the cooperative networks which is quite sensitive to the quality of the channel state information. The existing transmission strategies are based on the maximization of average cell rate which results in a reduced rate for the users in the cell-edge regions. We propose an adaptive bit partitioning strategy to improve the rate of cell-edge users at the same average feedback link rate. We show the performance of the cell-edge users is significantly increased while keeping the same average cell rate. © 2011 IEEE.
Description
IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2011; San Francisco, CA; United States; 26 June 2011 through 29 June 2011
Keywords
Cell rate, Cooperative networks, Intercell interference, Multi-antenna, Multicell system, Wireless sensor networks, Cell rate, Intercell interference, Multi-antenna, Multicell system, Wireless sensor networks, Cooperative networks
Fields of Science
0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
Özbek, B., and Le Ruyet, D. (2011, June 26-29). Adaptive bit partitioning strategy for cell-edge users in multi-antenna multicell networks. Paper presented at the IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2011. doi:10.1109/SPAWC.2011.5990451
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