Title :
MIMO communication systems using hierarchical modulation
Author :
Ugur, Yigit ; Yilmaz, Ayhan Ozan
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, ODTU, Ankara, Turkey
Abstract :
This paper considers multiple-input multiple-output (MIMO) communication systems using hierarchical modulation. The disadvantage of the maximum-likelihood (ML) receiver is that the computational complexity increases exponentially with the number of transmit antennas and the number of bits per modulation symbol. Using MIMO communication system with 16-ary hierarchical quadrature amplitude modulation (16-HQAM), we propose a receiver structure which can be an alternative to maximum-likelihood (ML) receiver. 16-HQAM involves a base layer and an enhancement layer. In the proposed receiver, the base layer is detected first with a minimum mean square error (MMSE) detector which is followed by ML detection of the enhancement layer. We examine the bit error rate (BER) performance of our low complexity receiver structure and compare it to the performance of other receiver structures. This work does not consider channel coding, which will be included along with the analysis of the proposed system in future studies.
Keywords :
MIMO communication; channel coding; error statistics; least mean squares methods; maximum likelihood detection; quadrature amplitude modulation; transmitting antennas; 16-HQAM; 16-ary hierarchical quadrature amplitude modulation; BER performance; MIMO communication systems; MMSE detector; base layer; bit error rate; bits per modulation symbol; channel coding; enhancement layer; hierarchical modulation; maximum-likelihood receiver; minimum mean square error; multiple-input multiple-output communication systems; transmit antennas; Bit error rate; Conferences; MIMO; Receivers; Signal to noise ratio; Silicon carbide; Hierarchical modulation; bit error rate (BER); maximum-likelihood (ML); minimum mean square error (MMSE); multiple-input multiple-output (MIMO) communication system; receiver complexity; successive interference cancellation (SIC);
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830340