Successive orthogonal beamforming for cooperative multi-point downlinks

被引:7
作者
Li, Yingbo [1 ]
Bai, Lin [2 ]
Chen, Chen [1 ]
Jin, Ye [1 ]
Choi, Jinho [3 ]
机构
[1] Peking Univ, State Key Lab Adv Opt Commun Syst & Networks, Beijing 100871, Peoples R China
[2] Beihang Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
[3] Swansea Univ, Coll Engn, Swansea, W Glam, Wales
基金
中国国家自然科学基金;
关键词
CAPACITY; DIVERSITY;
D O I
10.1049/iet-com.2012.0372
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study considers successive orthogonal beamforming (SOBF) for multicell downlink transmissions. A group of base stations (BSs) are in cooperation for effective downlink transmissions to cell-edge users, which is usually referred to as cooperative multi-point. As the number of cell-edge users is small and varying, conventional beamforming schemes, for example, zero-forcing beamforming (ZFBF), are not suitable for the multicell scenario. In the SOBF scheme considered here, the beamforming vectors are found in a successive manner when a new user comes in, so that the beamforming vectors of the existing users remain unchanged. With limited channel state information at the group of BSs, a new successive beam allocation (SBA) scheme is proposed for SOBF. In SBA, the candidate beams are broadcasted to all the users through downlink before the index of the best beam is sent back to the BS by each user. The sum rate performance of a system with two users is studied analytically. The numerical results are presented to show that the proposed SOBF with SBA outperforms ZFBF with conventional feedback strategy.
引用
收藏
页码:706 / 714
页数:9
相关论文
共 25 条
[1]   Capacity of Rayleigh fading channels under different adaptive transmission and diversity-combining techniques [J].
Alouini, MS ;
Goldsmith, AJ .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 1999, 48 (04) :1165-1181
[2]  
[Anonymous], 2010, Optimal combining and detection: statistical signal processing for communications
[3]   Cooperative Multicell Precoding: Rate Region Characterization and Distributed Strategies With Instantaneous and Statistical CSI [J].
Bjornson, Emil ;
Zakhour, Randa ;
Gesbert, David ;
Ottersten, Bjorn .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2010, 58 (08) :4298-4310
[4]   On the achievable throughput of a multiantenna Gaussian broadcast channel [J].
Caire, G ;
Shamai, S .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2003, 49 (07) :1691-1706
[5]   Opportunistic Beamforming With Single Beamforming Matrix for Virtual Antenna Arrays [J].
Choi, Jinho .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2011, 60 (03) :872-881
[6]   WRITING ON DIRTY PAPER [J].
COSTA, MHM .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1983, 29 (03) :439-441
[7]   Coordinated Beamforming for the Multicell Multi-Antenna Wireless System [J].
Dahrouj, Hayssam ;
Yu, Wei .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2010, 9 (05) :1748-1759
[8]  
de Francisco R, 2007, IEEE WCNC, P1211
[9]  
Duplicy Jonathan, 2007, 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, P77, DOI 10.1109/CAMSAP.2007.4497969
[10]   Multi-Cell MIMO Cooperative Networks: A New Look at Interference [J].
Gesbert, David ;
Hanly, Stephen ;
Huang, Howard ;
Shitz, Shlomo Shamai ;
Simeone, Osvaldo ;
Yu, Wei .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2010, 28 (09) :1380-1408