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In ultra-dense small cell networks, spatial multiplexing gain is a challenge because of the different propagation conditions. The channels associated with different transmit–receive pairs can be highly correlated due to the: 1) high probability of line-of-sight (LOS) communication between user equipment (UE) and base station (BS) and 2) insufficient spacing between antenna elements at both UE and...
Modeling MIMO time-variant channels as real world of wave propagation environments dictates, becomes crucial in wireless communication where an accurate knowledge about the channel state information is expected to be available for the transceivers. However instead of having unreliable and inefficiency instantaneous channel state information (CSI) where the feedback mechanisms often generate a delay...
MIMO and space-time coding (STC) as signal processing form a system which highly leads to perform the reliability and the capacity of the link of communications. This is achievable if the channel state information (CST) is perfectly known at the transceiver. Often the transceiver is not able to acquire the instantaneous knowledge of the channel state. Yet it can have a partial knowledge or estimation,...
We define a common and global parameter in terms of the amount of correlation for the entire multiple-input multiple-output antenna (MIMO) channels models. This is possible if the MIMO systems (with different number of antennas) are surrounded by the same distribution of scatterers. We demonstrate also by simulation results the wise tradeoff which can be done between antennas parameters and the one-ring...
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