Abstract:
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A precise knowledge of the MIMO channel
between the serving node and the user equipment (UE) is
important for attaining good data rates in downlink
transmissions (DL) in cellular systems. The interfering point-tomultipoint
(I-P2MP) channel, consisting of multiple transmitters
coexisting in the same area, where each transmitter is intended to
serve multiple users, is a model that subsumes most of the
scenarios that can be found in wireless cellular networks with a
dense deployment of small cells (SCs). In conventional channel
estimation procedures, resources allocated to each SC for
training tend to be orthogonal, negatively impacting in the
efficiency of the whole system. Reusing resources for training
allows releasing resources for data transmission, but at the cost
of degrading the channel estimation due to interference. We
propose a decentralized algorithm for interference management
that enforces the coordination among SCs in the design of the
training sequences for de DL. Results in this work elucidate how
to reuse resources for training and significantly improve the
throughput of the system. |