20 Years of Turbo Coding and Energy-Aware Design Guidelines for Energy-Constrained Wireless Applications

被引:26
作者
Brejza, Matthew F. [1 ]
Li, Liang [1 ,2 ]
Maunder, Robert G. [1 ]
Al-Hashimi, Bashir M. [1 ]
Berrou, Claude [3 ]
Hanzo, Lajos [1 ]
机构
[1] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, Hants, England
[2] Cirrus Log Inc, Newbury RG14 2PZ, Berks, England
[3] Technople Brest Iroise, CS 83818, F-29238 Brest, France
来源
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS | 2016年 / 18卷 / 01期
基金
英国工程与自然科学研究理事会;
关键词
Turbo code; BCJR algorithm; energy efficiency; holistic design; optimization; wireless sensor network; DECODER; CODES; IMPLEMENTATION; OPTIMIZATION; COMMUNICATION; MIMO;
D O I
10.1109/COMST.2015.2448692
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
During the last two decades, wireless communication has been revolutionized by near-capacity error-correcting codes (ECCs), such as turbo codes (TCs), which offer a lower bit error ratio (BER) than their predecessors, without requiring an increased transmission energy consumption (EC). Hence, TCs have found widespread employment in spectrum-constrained wireless communication applications, such as cellular telephony, wireless local area network, and broadcast systems. Recently, however, TCs have also been considered for energy-constrained wireless communication applications, such as wireless sensor networks and the 'Internet of Things.' In these applications, TCs may also be employed for reducing the required transmission EC, instead of improving the BER. However, TCs have relatively high computational complexities, and hence, the associated signal-processing-related ECs are not insignificant. Therefore, when parameterizing TCs for employment in energy-constrained applications, both the processing EC and the transmission EC must be jointly considered. In this tutorial, we investigate holistic design methodologies conceived for this purpose. We commence by introducing turbo coding in detail, highlighting the various parameters of TCs and characterizing their impact on the encoded bit rate, on the radio frequency bandwidth requirement, on the transmission EC and on the BER. Following this, energy-efficient TC decoder application-specific integrated circuit (ASIC) architecture designs are exemplified, and the processing EC is characterized as a function of the TC parameters. Finally, the TC parameters are selected in order to minimize the sum of the processing EC and the transmission EC.
引用
收藏
页码:8 / 28
页数:21
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