Title :
Precoded Integer-Forcing Universally Achieves the MIMO Capacity to Within a Constant Gap
Author :
Ordentlich, Or ; Erez, Uri
Author_Institution :
Tel Aviv Univ., Tel Aviv, Israel
Abstract :
An open-loop single-user multiple-input multiple-output (MIMO) communication scheme is considered where a transmitter, equipped with multiple antennas, encodes the data into independent streams all taken from the same linear code. The coded streams are then linearly precoded using the encoding matrix of a perfect linear dispersion space-time code. At the receiver side, integer-forcing equalization is applied, followed by standard single-stream decoding. It is shown that this communication architecture achieves the capacity of any Gaussian MIMO channel up to a gap that depends only on the number of transmit antennas.
Keywords :
MIMO communication; antenna arrays; channel capacity; space-time codes; transmitting antennas; Gaussian MIMO channel capacity; MIMO capacity; constant gap; integer-forcing equalization; linear dispersion space-time code; open-loop single-user multiple-input multiple-output communication scheme; single-stream decoding; transmit antennas; Compounds; Encoding; Lattices; MIMO; Receivers; Signal to noise ratio; Transmitters; Equalizers; Linear codes; MIMO; Space-time codes;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2014.2370047