Integration of Spatial Processing in the WINNER B3G Air Interface Design.

Martin Döttling , Siemens AG,
Mikael Sternad , Uppsala University,
Göran Klang , Ericsson AB,
Jörn von Häfen , Siemens AG, and
Magnus Olsson , Ericsson AB.

IEEE 63d Vehicular Technology Conference, VTC2006-Spring , Melbourne, Australia, May 2006. © IEEE

Outline:

The European research project WINNER is a cooperation of 38 partners from industry, operators, and academia which is partly funded by the European Union, with the overall goal to develop a single radio interface covering the full range from isolated hot spots to wide area cellular scenarios by using different modes of a common technology. It targets increased data rates, low latency, and high system capacity based on adaptive transmission schemes, flexible spectrum usage, relaying, and advanced multi-antenna processing.

Spatial processing is a key enabler to meet these targets, since it provides an additional dimension of multiplexing, multiple access, and link adaptation. It also allows implementing enhanced (multi-user) interference management techniques. Depending on the specific needs of the data flows, robustness, coverage, or data rate can be increased and high overall spectral efficiency can be achieved.

Due to the manifold usage scenarios to be accommodated, the WINNER multi-antenna architecture must be able to foster gains due to spatial diversity, spatial multiplexing, SDMA, beamforming, and spatial interference management in flexible combinations and with scalable amount of channel knowledge at the transmitter. We distinguish open-loop techniques, where no channel knowledge is available at the transmitter, from cases where we have a channel quality indicator (CQI, e.g., knowledge of SINR) or more complete channel state information (CSI, e.g. channel covariance matrix), either as long-term or short-term information

Such a scalable and adaptive concept is achieved by a multi-user spatial domain link adaptation concept, based on (linear) dispersion codes, beamforming, multi-user precoding, and per stream rate control (PSRC).

The actual configuration and parameterization of the spatial processing is part of the MAC service radio resource control, which splits the available resources across cells and transport channels, and performs fast resource scheduling.

The multiple functionalities of this service are interconnected and a joint optimization is not tractable. Even an iterative solution would compromise the quest for low latency. Therefore this paper outlines a baseline non-iterative procedure and split into functionalities that allows a flexible and channel-dependent resource assignment including spatial processing.

Abstract:

Numerous investigations of spatial processing algorithms are available in literature showing the benefit of MIMO systems in particular situations. From a system perspective, however, spatial processing has to provide adaptivity and scalability to a wide range of scenarios and has also to be seen in the context of its impact on other system services and functions, its enabling requirements, overhead, and robustness.

This paper summarizes recent work towards integrated spatial processing services and functions for an OFDM-based B3G air interface, developed in the European IST research project WINNER. The current status of the air interface and the multi-user spatial domain link adaptation concept is summarized. A baseline spatial scheme selection process is developed as part of the overall MAC radio resource control.

Related publications:

Proc. of the IEEE (Dec. 2007) invited paper on adaptive transmission in beyond-3G wireless systems.

IST Mobile Summit 2006 paper presenting the WINNER MAC for cellular transmission.

Later WINNER II design (ICT Mobile Summit 2008).

Source:

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