Recently, the remarkable capacity potential of multiple-input multiple-output (MIMO) wireless communication systems was unveiled. The predicted enormous capacity gain of MIMO is nonetheless significantly limited by co-channel interference (CCI) in realistic cellular environments. The advanced receiver techniques proposed in [9] improve the system performance at the cost of increased receiver complexity, and the achieved system capacity is still significantly away from the interference-free capacity upper bound, especially in environments with strong CCI. In this paper, base station cooperative processing is explored to address the co-channel interference mitigation problem in downlink multicell multiuser MIMO networks, and is shown to dramatically increase the capacity with strong CCI. Both information-theoretic dirty paper coding approach and several more practical joint transmission schemes are studied, with pooled and practical per-base power constraints, respectively. Besides the CCI mitigation potential, other advantages of cooperative processing including the power gain, channel rank/conditioning advantage, and macro-diversity protection are also addressed. The potential of our proposed joint transmission schemes is verified with both heuristic and realistic cellular MIMO settings.
In REF , several practical joint transmission schemes with per BS power constraints are studied and advantages of cooperative processing in downlink multicell MU-MIMO networks are testified.
Cochannel Interference Mitigation and Cooperative Processing in Downlink Multicell Multiuser MIMO Networks
EURASIP Journal on Wireless Communications and Networking
Computer Science