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Guido Masera

Publications and source records attributed to Guido Masera.

24 records · Page 2Linked to original sources

A Flexible LDPC code decoder with a Network on Chip as underlying interconnect architecture

LDPC (Low Density Parity Check) codes are among the most powerful and widely adopted modern error correcting codes. The iterative decoding algorithms required for these codes involve high computational complexity and high processing throughput is achieved by allocating a sufficient number of processing elements (PEs). Supporting multiple heterogeneous LDPC codes on a parallel decoder poses serious problems in the design of the interconnect structure for such PEs. The aim of this work is to explore the feasibility of NoC (Network on Chip) based decoders, where full flexibility in terms of supported LDPC codes is obtained resorting to an NoC to connect PEs. NoC based LDPC decoders have been previously considered unfeasible because of the cost overhead associated to packet management and routing. On the contrary, the designed NoC adopts a low complexity routing, which introduces a very limited cost overhead with respect to architectures dedicated to specific classes of codes. Moreover the paper proposes an efficient configuration technique, which allows for fast on--the--fly switching among different codes. The decoder architecture is scalable and VLSI synthesis results are presented for several cases of study, including the whole set of WiMAX LDPC codes, WiFi codes and DVB-S2 standard.

cs.AR↗

Improving Network-on-Chip-based turbo decoder architectures

In this work novel results concerning Network-on-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-floating-point 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 dB.

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A Novel VLSI Architecture of Fixed-complexity Sphere Decoder

Fixed-complexity Sphere Decoder (FSD) is a recently proposed technique for Multiple-Input Multiple-Output (MIMO) detection. It has several outstanding features such as constant throughput and large potential parallelism, which makes it suitable for efficient VLSI implementation. However, to our best knowledge, no VLSI implementation of FSD has been reported in the literature, although some FPGA prototypes of FSD with pipeline architecture have been developed. These solutions achieve very high throughput but at very high cost of hardware resources, making them impractical in real applications. In this paper, we present a novel four-nodes-per-cycle parallel architecture of FSD, with a breadth-first processing that allows for short critical path. The implementation achieves a throughput of 213.3 Mbps at 400 MHz clock frequency, at a cost of 0.18 mm2 Silicon area on 0.13μm CMOS technology. The proposed solution is much more economical compared with the existing FPGA implementations, and very suitable for practicl applications because of its balanced performance and hardware-complexity; moreover it has the flexibility to be expanded into an eight-nodes-per-cycle version in order to double the throughput.

cs.IT↗

VLSI Architectures for WIMAX Channel Decoders

This chapter describes the main architectures proposed in the literature to implement the channel decoders required by the WiMax standard, namely convolutional codes, turbo codes (both block and convolutional) and LDPC. Then it shows a complete design of a convolutional turbo code encoder/decoder system for WiMax.

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Turbo NOC: a framework for the design of Network On Chip based turbo decoder architectures

This work 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 the network topology, the parallelism degree, the rate at which messages are sent by processing nodes over the network and the routing strategy. The main results of this analysis are: i) the most suited topologies to achieve high throughput with a limited complexity overhead are generalized de-Bruijn and generalized Kautz topologies; ii) 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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Decoding the Golden Code: a VLSI design

The recently proposed Golden code is an optimal space-time block code for 2 X 2 multiple-input multiple-output (MIMO) systems. The aim of this work is the design of a VLSI decoder for a MIMO system coded with the Golden code. The architecture is based on a rearrangement of the sphere decoding algorithm that achieves maximum-likelihood (ML) decoding performance. Compared to other approaces, the proposed solution exhibits an inherent flexibility in terms of modulation schemes QAM modulation size and this makes our architecture particularly suitable for adaptive modulation schemes.

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