On the Multi-Resolution Techniques for LTE-Advanced

A coordinated multi-resolution and multi-point MIMO transmission method for the LTE-Advanced is presented considering the Evolved-Multimedia Broadcast/Multicast Service (E-MBMS). Fixed relays with MIMO and different adaptive frequency reuse schemes are considered in the proposed scheme to improve the E-MBMS spectral efficiency at the cell borders and/or to save transmission power from the base stations and relays. In order to provide additional diversity over Rayleigh multi-path fading channels, a signal space diversity based on Complex Rotation Matrices (CRM) is used, associated to MIMO, as a multi-resolution technique. The decoding of these signals are facilitated with the use of Maximum Likelihood Soft Output (MLSO) criterion, included in the proposed receiver. The link performance of the MIMO system turbo-coded with hierarchical constellations and CRM is analyzed in terms of bit and block error rate (BER/BLER). The corresponding system level coverage and throughput gains are also evaluated associated to the presence or not of fixed relays and measuring the maximum spectral efficiencies at cell borders of single cell point-to-multipoint or single frequency network. The influence of the cell radius in the performance of the previous cellular topologies with coordinated MIMO transmissions is also evaluated.

[1]  Xiang Cheng,et al.  Cooperative MIMO channel models: A survey , 2010, IEEE Communications Magazine.

[2]  AMÉRICO CORREIA Optimised Complex Constellations for Transmitter Diversity , 2002, Wirel. Pers. Commun..

[3]  Jos H. Weber,et al.  Optimized Rotations for LDPC-Coded MPSK Constellations with Signal Space Diversity , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[4]  Hamid Sharif,et al.  Distributed MIMO technologies in cooperative wireless networks , 2011, IEEE Communications Magazine.

[5]  Rui Dinis,et al.  Transmission Techniques for Emergent Multicast and Broadcast Systems , 2010 .

[6]  Desmond P. Taylor,et al.  Near Optimum Error Correcting Coding and Decoding: TurboCodes , 2007 .

[7]  Mahmoud Naghshineh,et al.  Channel assignment schemes for cellular mobile telecommunication systems: A comprehensive survey , 2000, IEEE Communications Surveys & Tutorials.

[8]  Elvino S. Sousa,et al.  Fading-resistant modulation using several transmitter antennas , 1997, IEEE Trans. Commun..

[9]  Emanuele Viterbo,et al.  Signal Space Diversity: A Power- and Bandwidth-Efficient Diversity Technique for the Rayleigh Fading Channel , 1998, IEEE Trans. Inf. Theory.

[10]  M.M. da Silva,et al.  Space time block coding for 4 antennas with coding rate 1 , 2002, IEEE Seventh International Symposium on Spread Spectrum Techniques and Applications,.

[11]  T. Salvalaggio On the application of reuse partitioning , 1988, 38th IEEE Vehicular Technology Conference.

[12]  Jinyong Choi,et al.  Performance evaluation of MIMO-OFDM with signal space diversity over frequency selective channels , 2009, 2009 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting.

[13]  Jos H. Weber,et al.  Iterative Demodulation and Decoding for Rotated MPSK Constellations with Convolutional Coding and Signal Space Diversity , 2007, 2007 IEEE 66th Vehicular Technology Conference.

[14]  Alain Glavieux,et al.  Reflections on the Prize Paper : "Near optimum error-correcting coding and decoding: turbo codes" , 1998 .