  Real interference alignment is efficient in breaking-up a one-dimensional
space over time-invariant channels into fractional dimensions. As such,
multiple symbols can be simultaneously transmitted with fractional
degrees-of-freedom (DoF). Of particular interest is when the one dimensional
space is partitioned into two fractional dimensions. In such scenario, the
interfering signals are confined to one sub-space and the intended signal is
confined to the other sub-space. Existing real interference alignment schemes
achieve near-capacity performance at high SNR for time-invariant channels.
However, such techniques yield poor achievable rate at finite SNR, which is of
interest from a practical point of view. In this paper, we propose a radically
novel nonlinear interference alignment technique, which we refer to as
Interference Dissolution (ID). ID allows to break-up a one-dimensional space
into two fractional dimensions while achieving near-capacity performance for
the entire SNR range. This is achieved by aligning signals by signals, as
opposed to aligning signals by the channel. We introduce ID by considering a
time-invariant MISO channel. This channel has a one-dimensional space and
offers one DoF. We show that, by breaking-up the one dimensional space into two
sub-spaces, ID achieves a rate of two symbols per channel use while providing
$\frac{1}{2}$ DoF for each symbol. We analyze the performance of the proposed
ID scheme in terms of the achievable rate and the symbol error rate. In
characterizing the achievable rate of ID for the entire SNR range, we prove
that, assuming Gaussian signals, the sum achievable rate is at most one bit
away from the capacity. We present numerical examples to validate the
theoretical analysis. We also compare the performance of ID in terms of the
achievable rate performance to that of existing schemes and demonstrate ID's
superiority.
