590 research outputs found
Auto-Generation of Pipelined Hardware Designs for Polar Encoder
This paper presents a general framework for auto-generation of pipelined
polar encoder architectures. The proposed framework could be well represented
by a general formula. Given arbitrary code length and the level of
parallelism , the formula could specify the corresponding hardware
architecture. We have written a compiler which could read the formula and then
automatically generate its register-transfer level (RTL) description suitable
for FPGA or ASIC implementation. With this hardware generation system, one
could explore the design space and make a trade-off between cost and
performance. Our experimental results have demonstrated the efficiency of this
auto-generator for polar encoder architectures
A Data-Aided Channel Estimation Scheme for Decoupled Systems in Heterogeneous Networks
Uplink/downlink (UL/DL) decoupling promises more flexible cell association
and higher throughput in heterogeneous networks (HetNets), however, it hampers
the acquisition of DL channel state information (CSI) in time-division-duplex
(TDD) systems due to different base stations (BSs) connected in UL/DL. In this
paper, we propose a novel data-aided (DA) channel estimation scheme to address
this problem by utilizing decoded UL data to exploit CSI from received UL data
signal in decoupled HetNets where a massive multiple-input multiple-output BS
and dense small cell BSs are deployed. We analytically estimate BER performance
of UL decoded data, which are used to derive an approximated normalized mean
square error (NMSE) expression of the DA minimum mean square error (MMSE)
estimator. Compared with the conventional least square (LS) and MMSE, it is
shown that NMSE performances of all estimators are determined by their
signal-to-noise ratio (SNR)-like terms and there is an increment consisting of
UL data power, UL data length and BER values in the SNR-like term of DA method,
which suggests DA method outperforms the conventional ones in any scenarios.
Higher UL data power, longer UL data length and better BER performance lead to
more accurate estimated channels with DA method. Numerical results verify that
the analytical BER and NMSE results are close to the simulated ones and a
remarkable gain in both NMSE and DL rate can be achieved by DA method in
multiple scenarios with different modulations
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