In this paper we use two modifications of the minimum mean-squared-error (MMSE) cost function to derive new multi-user (MU) MIMO receive algorithms. We derive algorithms that have lower complexity than the lattice reduction techniques and are able to extract full diversity inherent in the system. The resulting algorithms work in the overloaded systems, i.e. can process signals at the user terminals (UTs) equipped with the arbitrary number of antennas, and have no bit error floor.
|Number of pages||5|
|Publication status||Published - 29 Dec 2011|
- MIMO systems
- Multi-user MIMO
- Receive signal processing
ASJC Scopus subject areas
- Electrical and Electronic Engineering