Multicell power allocation method based on game theory for inter-cell interference coordination
Journal article, 2009

As a new technology, coordinated multipoint (CoMP) transmission is included in LTE-Advanced study item. Moreover, the network architecture in LTE-Advanced system is modified to take into account coordinated transmission. Under this background, a novel power allocation game model is established to mitigate inter-cell interference with cellular coordination. In the light of cellular cooperation relationship and centralized control in eNodeB, the power allocation in each served antenna unit aims to make signal to interference plus noise ratio (SINR) balanced among inter-cells. Through the proposed power allocation game algorithm, the users’ SINR can reach the Nash equilibrium, making it feasible to reduce the co-frequency interference by decreasing the transmitted power. Numerical results show that the proposed power allocation algorithm improves the throughput both in cell-center and cell-edge. Moreover, the blocking rate in cell-edge is reduced too.

LTE-Advanced - inter-cell interference coordination - CoMP - game theory - power allocation

Author

H. Zhang

Ministry of Education China

Beijing University of Posts and Telecommunications (BUPT)

Xiaodong Xu

Beijing University of Posts and Telecommunications (BUPT)

Ministry of Education China

Jingya Li

Beijing University of Posts and Telecommunications (BUPT)

Ministry of Education China

Xiaofeng Tao

Ministry of Education China

Beijing University of Posts and Telecommunications (BUPT)

Ping Zhang

Beijing University of Posts and Telecommunications (BUPT)

Ministry of Education China

Tommy Svensson

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Carmen Botella Mascarell

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Science China Information Sciences

1674-733X (ISSN) 1862-2836 (eISSN)

Vol. 52 12 2378-2384

Areas of Advance

Information and Communication Technology

Subject Categories

Telecommunications

Signal Processing

DOI

10.1007/s11432-009-0213-7

More information

Latest update

5/23/2018