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In a coordinated multipoint transmission system with centralized architecture for saving power consumption, total power metric is minimized while completely using the backhaul capacity and maintaining the minimum target data rate. The problem is formulated as a mixed integer optimization problem, which is difficult to solve. To overcome this problem, a joint user selection and rate adaptation scheme is developed based on the water-filling rate adaptation with the given user set and the power saving criterion with the allocated rates. Numerical results demonstrate that compared with the norm-based and semi-orthogonal user selection algorithms, the proposed algorithm can significantly reduce the total power consumption. The proposed algorithm can also achieve near-optimal performance compared with the performance achieved by the exhaustive search-based method. In addition, the computational complexity of the proposed algorithm is reduced by heuristic iteration and search scope shrinking.


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Joint User Selection and Rate Adaptation Scheme in a Coordinated Multipoint Transmission System for Power Minimization

Show Author's information Dong WangBo Bai( )Wei Chen
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
New Star Research Institute of Applied Technology, Hefei 230031, China.

Abstract

In a coordinated multipoint transmission system with centralized architecture for saving power consumption, total power metric is minimized while completely using the backhaul capacity and maintaining the minimum target data rate. The problem is formulated as a mixed integer optimization problem, which is difficult to solve. To overcome this problem, a joint user selection and rate adaptation scheme is developed based on the water-filling rate adaptation with the given user set and the power saving criterion with the allocated rates. Numerical results demonstrate that compared with the norm-based and semi-orthogonal user selection algorithms, the proposed algorithm can significantly reduce the total power consumption. The proposed algorithm can also achieve near-optimal performance compared with the performance achieved by the exhaustive search-based method. In addition, the computational complexity of the proposed algorithm is reduced by heuristic iteration and search scope shrinking.

Keywords: coordinated multipoint transmission, user selection, rate adaptation, backhaul capacity

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Publication history

Received: 13 January 2015
Revised: 26 February 2015
Accepted: 13 April 2015
Published: 17 December 2015
Issue date: December 2015

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© The author(s) 2015

Acknowledgements

This study was partly supported by the National Natural Science Foundation of China (No. 61401249), Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP) (No. 20130002120001), and Chuanxin Funding.

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