Title :
Interference-aware scheduling in the multiuser MIMO-OFDM downlink
Author :
Jungnickel, Volker ; Schellmann, Malte ; Thiele, Lars ; Wirth, Thomas ; Haustein, Thomas ; Koch, Otto ; Zirwas, Wolfgang ; Schulz, Egon
Author_Institution :
Heinrich-Hertz-Inst., Berlin
fDate :
6/1/2009 12:00:00 AM
Abstract :
With the introduction of orthogonal frequency- division multiplexing and multiple antennas in cellular networks, there are new opportunities to adapt the transmission to propagation and interference conditions. In this article we describe a practical approach using space-frequency-selective multiuser MIMO scheduling. Frequency-selective feedback is provided on achievable data rates for preferred single- and multistream transmission modes. The base station selects the best mode while providing instantaneous fairness. We observe that multiuser transmission increases the probability of using multistream transmission. Besides the benefits from optimal combining at the physical layer, there is an additional gain at the MAC layer since the estimation of achievable rates becomes more precise. Altogether, 93 percent of the theoretical throughput can be realized by synchronizing the base stations and providing cell-specific reference signals. We have implemented essential functions of the approach in real time on an experimental 3GPP LTE prototype in 20 MHz bandwidth. Feasibility of the key features is proven in laboratory and field trials.
Keywords :
MIMO communication; OFDM modulation; access protocols; antenna arrays; cellular radio; diversity reception; multiuser detection; probability; radiofrequency interference; scheduling; MAC layer; cellular network; frequency-selective feedback; interference-aware scheduling; multiple antenna; multistream transmission; multiuser MIMO-OFDM downlink; orthogonal frequency-division multiplexing; probability; radio communication; space-frequency-selective multiuser MIMO scheduling; Adaptive arrays; Antennas and propagation; Base stations; Downlink; Frequency; Interference; Land mobile radio cellular systems; MIMO; OFDM; Transmitting antennas;
Journal_Title :
Communications Magazine, IEEE
DOI :
10.1109/MCOM.2009.5116801