1,721,302 research outputs found
Improving Network-on-Chip-based Turbo Decoder Architectures
In this work novel results concerning Networkon- Chip-based turbo decoder architectures are presented. Stemming from previous publications, this work concentrates first on improving the throughput by exploiting adaptive-bandwidth-reduction techniques. This technique shows in the best case an improvement of more than 60 Mb/s. Moreover, it is known that double-binary turbo decoders require higher area than binary ones. This characteristic has the negative effect of increasing the data width of the network nodes. Thus, the second contribution of this work is to reduce the network complexity to support doublebinary codes, by exploiting bit-level and pseudo-floatingpoint representation of the extrinsic information. These two techniques allow for an area reduction of up to more than the 40 % with a performance degradation of about 0.2 d
Folded multiplieriess lifting-based wavelet pipeline
[120402.EG Titolo (scorretto) da WebOfScience.
Efficient VLSI Implementation of Soft-input Soft-output Fixed-complexity Sphere Decoder
Fixed-complexity sphere decoder (FSD) is one of the most promising techniques for the implementation of multipleinput multiple-output (MIMO) detection, with relevant advantages in terms of constant throughput and high flexibility of parallel architecture. The reported works on FSD are mainly based on software level simulations and a few details have been provided on hardware implementation. The authors present the study based on a four-nodes-per-cycle parallel FSD architecture with several examples of VLSI implementation in 4 × 4 systems with both 16-quadrature amplitude modulation (QAM) and 64-QAM modulation and both real and complex signal models. The implementation aspects and details of the architecture are analysed in order to provide a variety of performance-complexity trade-offs. The authors also provide a parallel implementation of loglikelihood- ratio (LLR) generator with optimised algorithm to enhance the proposed FSD architecture to be a soft-input softoutput (SISO) MIMO detector. To the authors best knowledge, this is the first complete VLSI implementation of an FSD based SISO MIMO detector. The implementation results show that the proposed SISO FSD architecture is highly efficient and flexible, making it very suitable for real application
Turbo NOC: a framework for the design of Network-on-Chip-basedturbo decoder architectures
This paper proposes a general framework for the design and simulation of network-on-chip-based turbo decoder architectures. Several parameters in the design space are investigated, namely, network topology, parallelism degree, the rate at which messages are sent by processing nodes over the network, and routing strategy. The main results of this analysis are as follows: 1) the most suited topologies to achieve high throughput with a limited complexity overhead are generalized de Bruijn and generalized Kautz topologies and 2) depending on the throughput requirements, different parallelism degrees, message injection rates, and routing algorithms can be used to minimize the network area overhead
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