Graduate School and Research Center In communication systems
Rate-reliability-complexity limits in ML and lattice based
decoding for MIMO, multiuser and cooperative communications
Singh, Arun   In telecommunications, rate-reliability and
encoding-decoding computational complexity (floating point
operations - flops), are widely considered to be limiting and
interrelated bottlenecks.  For this reason, any attempt to
significantly reduce complexity may be at the expense of a
substantial degradation in error-performance. Establishing this
intertwined relationship constitutes an important research topic
of substantial practical interest. This dissertation deals with
the question of establishing fundamental rate, reliability and
complexity limits in general outage-limited multiple-input
multiple-output (MIMO) communications, and its related point-to-
point, multiuser, cooperative, two-directional, and feedback-
aided scenarios. We explore a large subset of the family of
linear lattice encoding methods, and we consi