2 research outputs found
Blind Fractional Interference Alignment
Fractional Interference Alignment (FIA) is a transmission scheme which
achieves any value between [0,1] for the Symbols transmitted per Antenna per
Channel use (SpAC). FIA was designed in [1] specifically for Finite Alphabet
(FA) signals, under the constraint that the Minimum Distance (MD) detector is
used at all the receivers. Similar to classical interference alignment, the FIA
precoder also needs perfect channel state information at all the transmitters
(CSIT). In this work, a novel Blind Fractional Interference Alignment (B-FIA)
scheme is introduced, where the basic assumption is that CSIT is not available.
We consider two popular channel models, namely: Broadcast channel, and
Interference channel. For these two channel models, the maximum achievable
value of SpAC satisfying the constraints of the MD detector is obtained, but
with no CSIT, and also a precoder design is provided to obtain any value of
SpAC in the achievable range.
Further, the precoder structure provided has one distinct advantage:
interference channel state information at the receiver (I-CSIR) is not needed,
when all the transmitters and receivers are equipped with one antenna each.
When two or more antennas are used at both ends, I-CSIR must be available to
obtain the maximum achievable value of SpAC. The receiver designs for both the
Minimum Distance and the Maximum Likelihood (ML) decoders are discussed, where
the interference statistics is estimated from the received signal samples.
Simulation results of the B-FIA show that the ML decoder with estimated
statistics achieves a significantly better error rate performance when compared
to the MD decoder with known statistics, since the MD decoder assumes the
interference plus noise term as colored Gaussian noise
Fractional Interference Alignment: An Interference Alignment Scheme for Finite Alphabet Signals
Interference Alignment (IA) is a transmission scheme which achieves 1/2
Degrees-of-Freedom (DoF) per transmit-antenna per user. The constraints imposed
on the scheme are based on the linear receiver since conventional IA assumes
Gaussian signaling. However, when the transmitters employ Finite Alphabet (FA)
signaling, neither the conventional IA precoders nor the linear receiver are
optimal structures. Therefore, a novel Fractional Interference Alignment (FIA)
scheme is introduced when FA signals are used, where the alignment constraints
are now based on the non-linear, minimum distance (MD) detector. Since DoF is
defined only as signal-to-noise ratio tends to infinity, we introduce a new
metric called SpAC (number of Symbols transmitted-per-transmit
Antenna-per-Channel use) for analyzing the FIA scheme. The maximum SpAC is one,
and the FIA achieves any value of SpAC in the range [0,1]. The key motivation
for this work is that numerical simulations with FA signals and MD detector for
fixed SpAC (=1/2, as in IA) over a set of optimization problems, like
minimizing bit error rate or maximizing the mutual information, achieves a
significantly better error rate performance when compared to the existing
algorithms that minimize mean square error or maximize signal-to-interference
plus noise ratio