Uppsala universitet

Performance Evaluation of Coordinated Multi-Point Transmission Schemes with Predicted CSI.

Jingya Li , Chalmers,
Agisilaos Papadogiannis ,
Rikke Apelfröjd , Uppsala University
Tommy Svensson , Chalmers, and
Mikael Sternad Uppsala University.

IEEE Conference on Personal, Indoor and Mobile Radio Communications, PIMRC Sept 2012, Sydney, Australia, pp 1055-1060.
© 2012 IEEE

Coordinated multi-point (CoMP) transmission is considered as an efficient technique to improve cell-edge performance as well as system spectrum efficiency. In CoMP-enabled systems, a cluster of coordinated base stations (BSs) are typically assumed to be connected to a control unit (CU) via backhaul links, and the provided performance gain relies heavily on the quality of the channel state information (CSI) available at the CU side.

In this paper, we consider the downlink of a CoMP cluster and compare three different CoMP transmission schemes:

  • zero-forcing coherent joint transmission,
  • non-coherent joint transmission and
  • coordinated scheduling.

Moreover, for each of the analyzed schemes, the performance in terms of average sum rate of the CoMP cluster is studied with predicted CSI, considering the effects of the feedback and backhaul latency, as well as the user mobility.

Compared to zero-forcing coherent joint transmission, we show that non-coherent joint transmission and coordinated scheduling are more robust to channel uncertainty.

In addition, depending on the latency, user mobility and user locations, different schemes would achieve the highest average sum rate performance. Hence, a system could switch between the transmission schemes to improve the sum rate.

Related publications:
PhD Thesis by Rikke Apelfröjd of Kalman prediction and applications, April 2018.

Report by Rikke Apelfröjd on Kalman prediction for multipoint OFDM downlink channels, May 2014, revised March 2018.

EURASIP JWCN paper 2014 that evaluates robust linear precoding and simple user grouping on measured channels.

Channel Estimation and Prediction for MIMO OFDM Systems: Key design and performance aspects of Kalman-based algorithms.
PhD Thesis by Daniel Aronsson, 2012.


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