13 Décembre – Thesis defense - Mathieu Léonardon
11 h Amphi H - ENSEIRB-MATMECA (Talence)
Polar decoding on programmable architectures.
Polar codes are a recently invented class of error-correcting codes that are of interest to both researchers and industry, as evidenced by their selection for the coding of control channels in the next generation of cellular mobile communications (5G). One of the challenges of future mobile networks is the virtualization of digital signal processing, including channel encoding and decoding algorithms. In order to improve network flexibility, these algorithms must be written in software and deployed on programmable architectures. Such a network infrastructure allow dynamic balancing of the computational effort across the network, as well as inter-cell cooperation. These techniques are designed to reduce energy consumption, increase throughput and reduce communication latency. The work presented in this manuscript focuses on the software implementation of polar codes decoding algorithms and the design of programmable architectures specialized in their execution.
One of the main characteristics of a mobile communication chain is that the state of communication channel changes over time. In order to address issue, adaptive modulation and coding techniques are used in communication standards. These techniques require the decoders to support a wide range of codes: they must be generic. The first contribution of this work is the software implementation of generic decoders for "List" polar decoding algorithms on general purpose processors. In addition to their genericity, the proposed decoders are also flexible. Trade-offs between correction power, throughput and decoding latency are enabled by fine-tuning the algorithms. In addition, the throughputs of the proposed decoders achieve state-of-the-art performance and, in some cases, exceed it.
The second contribution of this work is the proposal of a new high-performance programmable architecture specialized in polar code decoding. It is part of the family of Application Specific Instruction-set Processors (ASIP). The base architecture is a RISC processor. This base architecture is then configured, its instruction set is extended and dedicated hardware units are added. Simulations show that this architecture achieves throughputs and latencies close to state-of-the-art software implementations on general purpose processors. Energy consumption is reduced by an order of magnitude. The energy required per decoded bit is about 10 nJ on general purpose processors compared to 1 nJ on proposed processors when considering the Successive Cancellation (SC) decoding algorithm of a polar code (1024,512).
The third contribution of this work is also the design of an ASIP architecture. It differs from the previous one by the use of an alternative design methodology. Instead of being based on a RISC architecture, the proposed processor architecture is part of the class of Transport Triggered Architectures (TTA). It is characterized by a greater modularity that allows to significantly improve the efficiency of the processor. The measured flow rates are then higher than those obtained on general purpose processors. The energy consumption is reduced to about 0.1 nJ per decoded bit for a polar code (1024,512) with the SC decoding algorithm. This corresponds to a reduction of two orders of magnitude compared to the consumption measured on general purpose processors.