Acta Metallurgica Sinica(English letters) ›› 2013, Vol. 20 ›› Issue (4): 52-58.doi: 10.1016/S1005-8885(13)60069-2

• Networks • Previous Articles     Next Articles

Decentralized beamforming design and power allocation for limited coordinated multi-cell network


  1. 1. Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China 2. School of Mechanical, Electrical and Information Engineering, Shandong University at Weihai, Weihai 264209, China
  • Received:2013-01-29 Revised:2013-04-16 Online:2013-08-31 Published:2013-08-30
  • Contact: Wen-Tao CUI
  • Supported by:
    This work was supported by the National Basic Research Program of China (2009CB320401), the National Natural Science Foundation of China (61171099), and the National Science and Technology Major Project of China (2012ZX03003-007).

Abstract: Multi-cell processing (MCP) is capable of providing significant performance gain, but this improvement is accompanied by dramatic signaling overhead between cooperative base stations. Therefore, balancing the performance gain and overhead growth is crucial for a practical multi-base cooperation scheme. In this paper, we propose a decentralized algorithm to jointly optimize the power allocation and beamforming vector with the goal of maximizing the system performance under the constraint of limited overhead signal and backhaul link capacity. In particular, combined with calculating the transmission beamforming vector according to the local channel state information, an adaptive power allocation is presented based on the result of sum capacity estimation. Furthermore, by utilizing the concept of cell clustering, the proposed framework can be implemented in a practical cellular system without major modification of network architecture. Simulation results demonstrate that the proposed scheme improves the system performance in terms of the sum capacity and cell-edge capacity.

Key words: MCP, co-channel interference, adaptive power allocation, distributed beamforming, limited capacity backhauling