Absolute Amplitude Differential Phase Spatial Modulation and Its Non-Coherent Detection Under Fast Fading Channels

Amplitude phase shift keying (APSK) aided differential spatial modulation (APSK-DSM) is a multiple-input-multiple-output wireless transmission technique which not only has the desirable features of differential spatial modulation (DSM) but also has a higher spectrum efficiency than DSM. However, the error propagation problem and the violation of the quasi-static channel assumption in conventional APSK-DSM design will cause significant performance loss, especially in undesirable channel conditions. Besides, the maximum-likelihood detection based on the traditional block-by-block search has a complexity that grows exponentially with the block size, which becomes intractable in systems with large transmit antenna numbers. To overcome those drawbacks, we propose a novel transmission scheme named the absolute amplitude differential phase spatial modulation (AADP-SM) in this paper. AADP-SM is able to alleviate the error propagation problem and achieve a near-coherent performance by invoking multiple previous blocks in the current detection. By taking into account the channel fading rate, AADP-SM is also more robust in fast-fading channels than APSK-DSM. A novel non-coherent detection algorithm is proposed for AADP-SM to reduce the exponential detection complexity to a polynomial order. Finally, we show through simulation that AADP-SM is tolerable to imperfect information about the channel statistics.

[1]  Yue Xiao,et al.  A Low-Complexity Detection Scheme for Differential Spatial Modulation , 2015, IEEE Communications Letters.

[2]  W. Weber,et al.  Differential Encoding for Multiple Amplitude and Phase Shift Keying Systems , 1978, IEEE Trans. Commun..

[3]  Lajos Hanzo,et al.  Single-RF Index Shift Keying Aided Differential Space–Time Block Coding , 2018, IEEE Transactions on Signal Processing.

[4]  Wolfgang Utschick,et al.  Covariance Matrix Estimation in Massive MIMO , 2017, IEEE Signal Processing Letters.

[5]  Lajos Hanzo,et al.  Algebraic Differential Spatial Modulation Is Capable of Approaching the Performance of Its Coherent Counterpart , 2017, IEEE Transactions on Communications.

[6]  Pingzhi Fan,et al.  Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO , 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

[7]  Lajos Hanzo,et al.  Differential Space-Time Coding Dispensing With Channel Estimation Approaches the Performance of Its Coherent Counterpart in the Open-Loop Massive MIMO-OFDM Downlink , 2018, IEEE Transactions on Communications.

[8]  Lajos Hanzo,et al.  50 Years of Permutation, Spatial and Index Modulation: From Classic RF to Visible Light Communications and Data Storage , 2018, IEEE Communications Surveys & Tutorials.

[9]  Lutz H.-J. Lampe,et al.  Low-complexity iterative demodulation for noncoherent coded transmission over Ricean-fading channels , 2001, IEEE Trans. Veh. Technol..

[10]  Alain Azoulay,et al.  Survey on the Future Aeronautical Communication System and Its Development for Continental Communications , 2013, IEEE Transactions on Vehicular Technology.

[11]  Naoki Ishikawa,et al.  Unified Differential Spatial Modulation , 2014, IEEE Wireless Communications Letters.

[12]  D. Bernstein Matrix Mathematics: Theory, Facts, and Formulas , 2009 .

[13]  Li Wang,et al.  Soft-Decision Multiple-Symbol Differential Sphere Detection and Decision-Feedback Differential Detection for Differential QAM Dispensing with Channel Estimation in the Face of Rapidly Fading Channels , 2016, IEEE Transactions on Wireless Communications.

[14]  Yue Xiao,et al.  Space-Time Block Coded Differential Spatial Modulation , 2017, IEEE Transactions on Vehicular Technology.

[15]  Li Wang,et al.  Finite-Cardinality Single-RF Differential Space-Time Modulation for Improving the Diversity-Throughput Tradeoff , 2019, IEEE Transactions on Communications.

[16]  Lorenzo Rubio,et al.  Computing the Closest Positive Definite Correlation Matrix for Experimental MIMO Channel Analysis , 2011, IEEE Communications Letters.

[17]  Hao Qiu,et al.  Measurements and Ray Tracing Simulations for Non-Line-of-Sight Millimeter-Wave Channels in a Confined Corridor Environment , 2019, IEEE Access.

[18]  Harold W. Kuhn,et al.  The Hungarian method for the assignment problem , 1955, 50 Years of Integer Programming.

[19]  Béla Bollobás,et al.  Graph Theory: An Introductory Course , 1980, The Mathematical Gazette.

[20]  Ming Xiao,et al.  Bit-Interleaved Coded SCMA With Iterative Multiuser Detection: Multidimensional Constellations Design , 2018, IEEE Transactions on Communications.

[21]  Joong Soo Ma,et al.  Mobile Communications , 2003, Lecture Notes in Computer Science.

[22]  Xiang Cheng,et al.  A differential scheme for Spatial Modulation , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[23]  Xiang Cheng,et al.  A Low-Complexity Near-ML Differential Spatial Modulation Detector , 2015, IEEE Signal Processing Letters.

[24]  Hlaing Minn,et al.  Angle-Domain Approach for Parameter Estimation in High-Mobility OFDM With Fully/Partly Calibrated Massive ULA , 2018, IEEE Transactions on Wireless Communications.

[25]  Bin Fu,et al.  A Low-Complexity Soft-Decision-Aided Detector for Differential Spatial Modulation , 2017, 2017 IEEE 85th Vehicular Technology Conference (VTC Spring).

[26]  Lutz H.-J. Lampe,et al.  Multiple-symbol differential sphere decoding , 2005, IEEE Transactions on Communications.

[27]  Qinye Yin,et al.  Differential Full Diversity Spatial Modulation and Its Performance Analysis With Two Transmit Antennas , 2015, IEEE Communications Letters.

[28]  Behnam Kamali AeroMACS: An IEEE 802.16 Standard-Based Technology for the Next Generation of Air Transportation Systems , 2018 .

[29]  Ruey-Yi Wei,et al.  Low-Complexity Differential Spatial Modulation , 2019, IEEE Wireless Communications Letters.

[30]  Harald Haas,et al.  Spatial Modulation , 2008, IEEE Transactions on Vehicular Technology.

[31]  Jochen Schiller,et al.  Mobile Communications , 1996, IFIP — The International Federation for Information Processing.

[32]  Zhaocheng Wang,et al.  A Novel BICM-ID System Approaching Shannon-Limit at High Spectrum Efficiency , 2011, IEICE Trans. Commun..

[33]  Zhigang Luo,et al.  Millimeter-Wave System for High-Speed Train Communications Between Train and Trackside: System Design and Channel Measurements , 2019, IEEE Transactions on Vehicular Technology.

[34]  Philippa A. Martin Differential Spatial Modulation for APSK in Time-Varying Fading Channels , 2015, IEEE Communications Letters.

[35]  Xia Lei,et al.  Space-Time Block Coded Rectangular Differential Spatial Modulation: System Design and Performance Analysis , 2019, IEEE Transactions on Communications.

[36]  Lajos Hanzo,et al.  Adaptive Coherent/Non-Coherent Single/Multiple-Antenna Aided Channel Coded Ground-to-Air Aeronautical Communication , 2019, IEEE Transactions on Communications.

[37]  C. Thomas,et al.  Digital Amplitude-Phase Keying with M-Ary Alphabets , 1974, IEEE Trans. Commun..

[38]  Lajos Hanzo,et al.  Reduced-Complexity Noncoherent Soft-Decision-Aided DAPSK Dispensing With Channel Estimation , 2013, IEEE Transactions on Vehicular Technology.

[39]  Xiang Cheng,et al.  Differential Spatial Modulation , 2015, IEEE Transactions on Vehicular Technology.

[40]  Emil Björnson,et al.  Massive MIMO with imperfect channel covariance information , 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

[41]  Alexis Paolo García Ariza,et al.  Frequency Dependent Indoor MIMO Channel Characterisation between 2 and 12 GHz Based on Full Spatial Correlation Matrices , 2008, J. Commun..

[42]  Rui Zhang,et al.  Angular-Domain Selective Channel Tracking and Doppler Compensation for High-Mobility mmWave Massive MIMO , 2019 .

[43]  Wolfgang Utschick,et al.  Spatial Long-Term Variations in Urban , Rural and Indoor Environments , 2022 .