This article is part of the series Cooperative MIMO Multicell Networks.

Open Access Research Article

Multimode Transmission in Network MIMO Downlink with Incomplete CSI

Nima Seifi1*, Mats Viberg1, Robert W Heath2, Jun Zhang3 and Mikael Coldrey4

Author Affiliations

1 Department of Signals and Systems, Chalmers University of Technology, 412 96 Gothenburg, Sweden

2 Wireless Networking and Communications Group (WNCG), Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712-0240, USA

3 Deptartment of Electronic and Computer Engineering, Hong Kong University of Science and Technology, (HKUST), Clear Water Bay, Kowloon, Hong Kong

4 Ericsson Research, Ericsson AB, 417 56 Gothenburg, Sweden

For all author emails, please log on.

EURASIP Journal on Advances in Signal Processing 2011, 2011:743916  doi:10.1155/2011/743916

The electronic version of this article is the complete one and can be found online at:

Received:2 June 2010
Accepted:16 October 2010
Published:19 October 2010

© 2011 Nima Seifi et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We consider a cooperative multicell MIMO (a.k.a network MIMO) downlink system with multiantenna base stations (BSs), which are connected to a central unit and communicate with multiantenna users. In such a network, obtaining perfect channel state information (CSI) of all users at the central unit to exploit opportunistic scheduling requires a substantial amount of feedback and backhaul signaling. We propose a scheduling algorithm based only on the knowledge of the average SNR at each user from all the cooperating BSs, denoted as incomplete CSI. Multimode transmission is applied that is able to adaptively adjust the number of data streams transmitted to each user. Utilizing the results of random matrix theory, an analytical framework is proposed to approximate the ergodic rate of each user with different number of data streams. Using these ergodic rates, a joint user and mode selection algorithm is proposed, where only the scheduled users need to feed back instantaneous CSI. Simulation results demonstrate that the developed analytical framework provides a good approximation for a practical number of antennas. While substantially reducing the feedback overhead, it is shown that the proposed scheduling algorithm performs closely to the opportunistic scheduling algorithm that requires instantaneous CSI feedback from all users.

Publisher note

To access the full article, please see PDF.