Approximate Message Passing Detector Based Upon Probability Sorting for Large-Scale GSM Systems

Large-scale generalized spatial modulation (GSM) technology has great potential in constructing low-complexity massive multiple-input multiple-output wireless systems, with a simplified structure which employs only a few radio frequency (RF) chains. However, detection is a very complex problem for large-scale GSM systems. In this correspondence paper, we have proposed an innovative probability sorting based approximate message passing (PS-AMP) detector. Specifically, in the proposed scheme, an approximate message passing method is used to obtain the probability for activation of each transmit antenna, and a method based upon probability sorting is developed to ascertain the signal search space. Simulation results demonstrate that the proposed PS-AMP detector exhibits a better bit error rate performance with a reduced complexity compared to its conventional counterparts.

[1]  Andrea Montanari,et al.  The dynamics of message passing on dense graphs, with applications to compressed sensing , 2010, ISIT.

[2]  Chunping Hou,et al.  Generalised spatial modulation with multiple active transmit antennas , 2010, 2010 IEEE Globecom Workshops.

[3]  Christos Masouros,et al.  Low-Complexity Compressive Sensing Detection for Spatial Modulation in Large-Scale Multiple Access Channels , 2015, IEEE Transactions on Communications.

[4]  Lajos Hanzo,et al.  Spatial Modulation for Generalized MIMO: Challenges, Opportunities, and Implementation , 2014, Proceedings of the IEEE.

[5]  Yue Xiao,et al.  Generalized Approximate Message Passing Aided Frequency Domain Turbo Equalizer for Single-Carrier Spatial Modulation , 2018, IEEE Transactions on Vehicular Technology.

[6]  Lei Liu,et al.  Convergence Analysis and Assurance for Gaussian Message Passing Iterative Detector in Massive MU-MIMO Systems , 2016, IEEE Transactions on Wireless Communications.

[7]  Yue Xiao,et al.  Improved Layered Message Passing Algorithms for Large-Scale Generalized Spatial Modulation Systems , 2018, IEEE Wireless Communications Letters.

[8]  Yue Xiao,et al.  Low-Complexity Signal Detection for Generalized Spatial Modulation , 2014, IEEE Communications Letters.

[9]  Lajos Hanzo,et al.  Single-Carrier SM-MIMO: A Promising Design for Broadband Large-Scale Antenna Systems , 2016, IEEE Communications Surveys & Tutorials.

[10]  Lei Liu,et al.  Message Passing in C-RAN: Joint User Activity and Signal Detection , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[11]  Chau Yuen,et al.  Asymptotically Optimal Estimation Algorithm for the Sparse Signal With Arbitrary Distributions , 2018, IEEE Transactions on Vehicular Technology.

[12]  Andrea Montanari,et al.  Message-passing algorithms for compressed sensing , 2009, Proceedings of the National Academy of Sciences.

[13]  Ying Li,et al.  Gaussian Message Passing for Overloaded Massive MIMO-NOMA , 2018, IEEE Transactions on Wireless Communications.

[14]  Raimundo Sampaio Neto,et al.  Low-Complexity Sphere Decoding Detector for Generalized Spatial Modulation Systems , 2014, IEEE Communications Letters.

[15]  Harald Haas,et al.  Generalised spatial modulation , 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

[16]  Li Ping,et al.  Orthogonal AMP for compressed sensing with unitarily-invariant matrices , 2016, 2016 IEEE Information Theory Workshop (ITW).

[17]  Lei Liu,et al.  Iterative Channel Estimation Using LSE and Sparse Message Passing for MmWave MIMO Systems , 2016, IEEE Transactions on Signal Processing.

[18]  Yue Xiao,et al.  Efficient Compressive Sensing Detectors for Generalized Spatial Modulation Systems , 2017, IEEE Transactions on Vehicular Technology.

[19]  Ananthanarayanan Chockalingam,et al.  On the Capacity and Performance of Generalized Spatial Modulation , 2016, IEEE Communications Letters.

[20]  Lei Liu,et al.  Sparse Vector Recovery: Bernoulli-Gaussian Message Passing , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[21]  Lei Liu,et al.  Capacity Optimality of AMP in Coded Systems , 2019, 2021 IEEE International Symposium on Information Theory (ISIT).