A new adaptive modulation algorithm for generalized spatial modulation(AGSM)is proposed to make full use of the channel state information. The algorithm realizes the joint optimization of antenna combinations and symbol modulation constellations by using the known channel state information and maximizing the minimum Euclidean distance of space-modulation constellation points so that the system performance is improved. Furthermore
a low-complexity AGSM algorithm(LA-GSM)is proposed to reduce the complexity of the joint optimization of antenna combinations and symbol modulation orders. The LA-GSM achieves a lower complexity and makes full use of the antenna combinations of GSM systems by reducing the number of available symbol modulation constellations and searching the identical symbol modulation constellations from the typical antenna combinations and remanent antenna combinations adaptively and respectively. Simulation results show that both the AGSM and the LA-GSM achieve much lower BER performance than the GSM does at a cost of certain complexity under same system spectral efficiency 5 b/(s·Hz)and 6 transmit antennas. Especially
the AGSM's BER and LA-GSM's BER are 1/10 and 1/3 of GSM's one
respectively
when the SNR is high. Moreover
the LA-GSM achieves a better trade-off between lower BER performance and lower complexity.
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references
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