<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Conference Paper</dc:product_type><dc:title>Hybrid Precoding/Combining Design in mmWaveAmplify-and-Forward MIMO Relay Networks</dc:title><dc:creator>Jiang, L.; Liu, X.; Jafarkhani, H.</dc:creator><dc:corporate_author/><dc:editor/><dc:description>In this paper, we consider the amplify-and-forward
relay networks in mmWave systems and propose a hybrid
precoder/combiner design approach. The phase-only RF precoding/
combining matrices are first designed to support multi-stream
transmission, where we compensate the phase for the eigenmodes
of the channel. Then, the baseband precoders/combiners are
performed to achieve the maximum mutual information. Based
on the data processing inequality for the mutual information,
we first jointly design the baseband source and relay nodes to
maximize the mutual information before the destination baseband
receiver. The proposed low-complexity iterative algorithm for
the source and relay nodes is based on the equivalence between
mutual information maximization and the weighted MMSE. After
we obtain the optimal precoder and combiner for the source
and relay nodes, we implement the MMSE-SIC filter at the
baseband receiver to keep the mutual information unchanged,
thus obtaining the optimal mutual information for the whole
relay system. Simulation results show that our algorithm achieves
better performance with lower complexity compared with other
algorithms in the literature.</dc:description><dc:publisher/><dc:date>2019-05-01</dc:date><dc:nsf_par_id>10108975</dc:nsf_par_id><dc:journal_name>IEEE International Conference on Communications</dc:journal_name><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation/><dc:issn>1938-1883</dc:issn><dc:isbn/><dc:doi>https://doi.org/</dc:doi><dcq:identifierAwardId>1642536</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>