Higher performance and lower complexity turbo decoding scheme for 4G-LTE using unpunctured turbo trellis-coded modulation

Thanks to the success of smart phones and mobile-ready laptops, data traffic has recently grown exponentially, and the demand for mobile data has risen very dramatically. These requests in large capacity can only be satisfied by a high efficiency and a very good optimization of the infrastructures of the mobile networks, while taking into account the constraints which are the power, bandwidth and a limited complexity. The task of developing mobile technologies has also evolved from a national or regional focus to a complex and growing mission, supported by global standards development organizations such as 3GPP (3rd Group Partnership Project). Through this research, we present everything related to the simulation of the 4G mobile network system (LTE), which can provide high data flow with good quality, through three model channels known as (EPA, EVA, ETU). In this work we focus on the block ‘iterative decoding channel encoder’ in the LTE system, where the iterative channel coding called ‘Turbo-code’ (TC) is substituted by the iterative coding channel called ‘Unpunctured Turbo Trellis-coded Modulation’ (UTTCM). The simulation results showed that with less decoding complexities, UTTCM's LTE system gives good performance (in terms of BER).

[1]  T.B. Sorensen,et al.  Extension of the ITU channel models for wideband (OFDM) systems , 2005, VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005..

[2]  Henning Wiemann,et al.  The LTE link-layer design , 2009, IEEE Communications Magazine.

[3]  Ning Chen,et al.  Complexity Analysis of Reed-Solomon Decoding over GF(2m) without Using Syndromes , 2008, EURASIP J. Wirel. Commun. Netw..

[4]  Thomas E. Fuja,et al.  I-Q TCM: reliable communication over the Rayleigh fading channel close to the cutoff rate , 1997, IEEE Trans. Inf. Theory.

[5]  D. Divsalar,et al.  On the Design of Turbo Codes , 1995 .

[6]  F. Pollara,et al.  Parallel concatenated trellis coded modulation , 1996, Proceedings of ICC/SUPERCOMM '96 - International Conference on Communications.

[7]  Fatima Faydhe Al azzawi.  LTE RF receiver modeling and each part testing with MATLAB simulink , 2019 .

[8]  Li Ping,et al.  Low-Complexity Soft-Decoding Algorithms for Reed–Solomon Codes—Part II: Soft-Input Soft-Output Iterative Decoding , 2010, IEEE Transactions on Information Theory.

[9]  Rachmad Vidya Wicaksana Putra,et al.  Reversed-Trellis Tail-Biting Convolutional Code (RT-TBCC) Decoder Architecture Design for LTE , 2018 .

[10]  Stefan Parkvall,et al.  LTE: the evolution of mobile broadband , 2009, IEEE Communications Magazine.

[11]  Trio Adiono,et al.  A novel algorithm of tail biting convolutional code decoder for low cost hardware implementation , 2015, 2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).

[12]  Patrick Robertson,et al.  Bandwidth-Efficient Turbo Trellis-Coded Modulation Using Punctured Component Codes , 1998, IEEE J. Sel. Areas Commun..

[13]  Design of unpunctured turbo trellis-coded modulation , 2013 .

[14]  A. Glavieux,et al.  Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1 , 1993, Proceedings of ICC '93 - IEEE International Conference on Communications.

[15]  Mariyam Ouaissa,et al.  QoS hybrid uplink scheduler based on service type for M2M communications in LTE networks , 2019 .

[16]  Claude E. Shannon,et al.  A Mathematical Theory of Communications , 1948 .

[17]  Dariush Divsalar,et al.  Bandwidth efficient parallel concatenated coding schemes , 1995 .

[18]  David W. Matolak,et al.  Variable-complexity trellis decoding of binary convolutional codes , 1996, IEEE Trans. Commun..

[19]  Gottfried Ungerboeck,et al.  Channel coding with multilevel/phase signals , 1982, IEEE Trans. Inf. Theory.

[20]  Xuan Guo,et al.  Simulink based LTE system simulator , 2010 .

[21]  A. Glavieux,et al.  Turbo-codes and high spectral efficiency modulation , 1994, Proceedings of ICC/SUPERCOMM'94 - 1994 International Conference on Communications.

[22]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[23]  Aleksandar Kavcic,et al.  Low-Complexity Soft-Decoding Algorithms for Reed–Solomon Codes—Part I: An Algebraic Soft-In Hard-Out Chase Decoder , 2010, IEEE Transactions on Information Theory.

[24]  R. Chang.  Synthesis of band-limited orthogonal signals for multichannel data transmission , 1966 .

[25]  P. Robertson,et al.  Coded modulation scheme employing turbo codes , 1995 .