Information-Coupled Turbo Codes for LTE Systems

نویسندگان

  • Lei Yang
  • Yixuan Xie
  • Xiaowei Wu
  • Jinhong Yuan
  • Xingqing Cheng
  • Lei Wan
چکیده

We propose a new class of information-coupled (IC) Turbo codes to improve the transport block (TB) error rate performance for long-term evolution (LTE) systems, while keeping the hybrid automatic repeat request protocol and the Turbo decoder for each code block (CB) unchanged. In the proposed codes, every two consecutive CBs in a TB are coupled together by sharing a few common information bits. We propose a feed-forward and feed-back decoding scheme and a windowed (WD) decoding scheme for decoding the whole TB by exploiting the coupled information between CBs. Both decoding schemes achieve a considerable signal-to-noise-ratio (SNR) gain compared to the LTE Turbo codes. We construct the extrinsic information transfer (EXIT) functions for the LTE Turbo codes and our proposed IC Turbo codes from the EXIT functions of underlying convolutional codes. An SNR gain upper bound of our proposed codes over the LTE Turbo codes is derived and calculated by the constructed EXIT charts. Numerical results show that the proposed codes achieve an SNR gain of 0.25 dB to 0.72 dB for various code parameters at a TB error rate level of 10, which complies with the derived SNR gain upper bound.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An approach to fault detection and correction in design of systems using of Turbo ‎codes‎

We present an approach to design of fault tolerant computing systems. In this paper, a technique is employed that enable the combination of several codes, in order to obtain flexibility in the design of error correcting codes. Code combining techniques are very effective, which one of these codes are turbo codes. The Algorithm-based fault tolerance techniques that to detect errors rely on the c...

متن کامل

Object-Oriented Implementation of LTE Turbo Codes

Object-Oriented Implementation of LTE Turbo Codes by Anusha Gangadi Master of Science in Electrical Engineering West Virginia University Matthew C. Valenti, Ph.D., Chair Turbo codes are a popular form of error correction codes as they perform close to the Shannon limit. Turbo codes have interesting features like parallel code concatenation, nonuniform interleaving, and an iterative decoding alg...

متن کامل

Channel Coding and Link Adaptation

In this work channel coding and link adaptation in LTE are considered, which are important issues in modern digital communication systems. With channel coding, errors caused by distortion during transmission are detected and/or corrected. In LTE both convolutional and Turbo codes are used. The structure of convolutional codes in LTE is presented here. Turbo codes and internal contentionfree int...

متن کامل

Asymmetric Turbo Codes for Lte Systems with Medium Frame Length

The selection of the component codes of turbo codes has a major influence on the performance of these codes. In this paper we propose a new type of asymmetric turbo codes for medium length of interleaver, based on the selection algorithm for the generating polynomials matched to a largest spread QPP interleaver. From the performance results one can observe that the new asymmetric turbo codes pe...

متن کامل

On Rate-Compatible Insertion Convolutional Turbo Codes and HARQ for Mobile Communications

Rate-compatible Turbo codes are part of many mobile communication systems as, e.g., LTE. The code rate of a fixed-rate mother Turbo code is adapted by bit puncturing and bit repetition. While bit puncturing allows to flexibly increase the effective code rate by discarding a certain number of encoded bits, bit repetition facilitates lower effective code rates by duplicating a distinct number of ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • CoRR

دوره abs/1709.06774  شماره 

صفحات  -

تاریخ انتشار 2017