Description: A 2x2 multiple-input multiple-output (MIMO) architecture
using dual-polarized antennas (DPAs) is considered
with orthogonal frequency division multiplexing (OFDM). The
performance of DPAs is evaluated for adaptive polarization
(AP) transmission techniques in time-varying multipath channels
impaired by polarization mode dispersion (PMD) and
polarization-dependent loss (PDL). AP transmission techniques
considered include power gain maximization, polarization dispersion
minimization for interference avoidance, polarization
multiplexing with waterfilling, and a suboptimal multiplexing
strategy that enables direct recovery of the polarization multiplexed
streams, thereby simplifying the design of the receiver.
Measured time-varying dual-polarized channel realizations from
mobile-to-mobile experiments are used to estimate the capacity,
diversity, and interference avoidance performance of the adaptive
approaches. Platform: |
Size: 1401856 |
Author:room |
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Description: the effects of neural
network aided estimation in such receivers are considered. Neural
network acts as a pre-processing block to the estimator.-Orthogonal frequency division multiplexing (OFDM) has
high data rate capacity and lower Inter Symbol Interference (ISI)
and is considered as the best solution for next generation mobile
communication. Multiple Inputs and Multiple Output (MIMO)
antenna system improve reception through spatial diversity and
high end coding. Combining these two, offers high interference
mitigation in wireless receivers. In this paper, the effects of neural
network aided estimation in such receivers are considered. Neural Platform: |
Size: 344064 |
Author:wangxx |
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Search - Capacity of MIMO-OFDM