Telecommunications Science ›› 2022, Vol. 38 ›› Issue (12): 46-55.doi: 10.11959/j.issn.1000-0801.2022291

• Research and Development • Previous Articles     Next Articles

A genetic algorithm based method of optimizing dispersion matrix for RDSM system

Peng ZHANG, Xiaoping JIN, Dongxiao CHEN   

  1. Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou 310018, China
  • Revised:2022-11-10 Online:2022-12-20 Published:2022-12-01
  • Supported by:
    Project of Innovation and Entrepreneurship Training for National Undergraduates(202110356016);The Natural Science Foundation of Zhejiang Province(LY17F010012);The Research Funding Project of Zhejiang Provincial Department of Education(Y201840047)


Rectangular differential spatial modulation (RDSM) is a multi-antenna incoherent modulation technology with high spectral efficiency, low power consumption, and zero-overhead for channel estimation.RDSM is especially suitable for 6G communication systems, such as fast-moving Internet of vehicles, Internet of things, cellular networks, etc.However, the construction of the sparse rectangular unitary space-time dispersion matrix (DM) at transmitter is a problem.The proposed Genetic algorithm (GA) will result in less computational complexity than the currently used random research.The fitness of GA was calculated by the rank and determinant criterion (RDC) method to avoid discussions in differential system.Due to characteristics of constellation symbols of RDSM, the proposed method reduced the computational complexity during each single iteration in GA.The simulation results show that the optimized DMS can significantly improve the bit error rate (BER) performance of the RDSM system.Compared with random search, the low-complexity GA effectively improves the DMS optimization efficiency of RDSM.The computational complexity required for optimizing DMS is about 0.1% of random search optimization method.

Key words: differential spatial modulation, index modulation, genetic algorithm, dispersion matrix, constellation rotation

CLC Number: 

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