Multimode Transmission in Network MIMO Downlink with Incomplete CSI
Artikel i vetenskaplig tidskrift, 2011

We consider a cooperative multi-cell MIMO (a.k.a network MIMO) downlink system with multiantenna base stations (BSs), which are connected to a central unit and communicate with multi-antenna 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. In this paper, we propose a scheduling algorithm based only on the knowledge of the average received SNR at each user from all the cooperating BSs, denoted as incomplete CSI. Multi-mode 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 approximate 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.

Författare

Nima Seifi

Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

Mats Viberg

Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Robert W. Heath Jr.

University of Texas at Austin

Jun Zhang

Hong Kong University of Science and Technology

Mikael Coldrey

Ericsson Sweden

Eurasip Journal on Advances in Signal Processing

1687-6172 (ISSN)

Art. no. 743916- 743916

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

DOI

10.1155/2011/743916