Joint and distributed scheduling with dynamic power control in multicell orthogonal frequency division multiple access networks. Issue 17 (1st November 2013)

• Record Type: Journal Article
• Authors: Zhang, Jia; Yuan, Dongfeng; Zhang, Haixia; Li, Huimin
• Is Part Of: IET communications. Volume 7:Issue 17(2013)
• Page Start: 1938
• Page End: 1947
• Publication Date: 2013-11-01
• Subjects: cellular radio -- dynamic programming -- frequency allocation -- frequency division multiple access -- numerical analysis -- OFDM modulation -- power control -- radiofrequency interference; distributed scheduling -- dynamic power control -- joint scheduling -- multicell orthogonal frequency division multiple access networks -- intercell interference coordination -- universal frequency reuse -- network spectral efflciency -- cell edge areas -- information sharing -- user scheduling policy -- network capacity -- performance improvement -- dynamic programming -- local information; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2012.0823
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : This study addresses the issue of intercell interference coordination in a multicell orthogonal frequency division multiple access network with universal frequency reuse, which aims at improving the network spectral efficiency, especially for the cell edge areas. According to different degrees of information sharing within the engaged network, both a joint and a distributed solution are proposed respectively trying to determine the most appropriate power control strategy along with the user scheduling policy. The joint power control and user scheduling scheme with full access to the network information is capable of gaining considerable enhancement on the network capacity and also a performance improvement for users suffering from strong intercell interferences. The distributed scheme with the same purpose manages to adapt the power control and user scheduling strategy on the basis of dynamic programming with respect to both current and future utility of the network with only local information available. Numerical results have shown the advantages of the proposed schemes in achieving better spectral efficiency under both joint and distributed circumstances.