Abstract
One of the most important methods used to cope with multipath fading effects, which cause the symbol to be received incorrectly in wireless communication systems, is the use of multiple transceiver antenna structures. By combining the multi-input multi-output (MIMO) antenna structure with non-orthogonal multiple access (NOMA), which is a new multiplexing method, the fading effects of the channels are not only reduced but also high data rate transmission is ensured. However, when the maximum likelihood (ML) algorithm that has high performance on coherent detection, is used as a symbol detector in MIMO NOMA systems, the computational complexity of the system increases due to higher-order constellations and antenna sizes. As a result, the implementation of this algorithm will be impractical. In this study, the backtracking search algorithm (BSA) is proposed to reduce the computational complexity of the symbol detection and have a good bit error performance for MIMO-NOMA systems. To emphasize the efficiency of the proposed algorithm, simulations have been made for the system with various antenna sizes. As can be seen from the obtained results, a considerable reduction in complexity has occurred using BSA compared to the ML algorithm, also the bit error performance of the system is increased compared to other algorithms.
Highlights
Insufficient frequency spectral resources are the biggest obstacle to high-rate data transmission
The use of the backtracking search algorithm (BSA) algorithm is proposed for data detection in the multi-input multi-output (MIMO)-non-orthogonal multiple access (NOMA) systems which provide high-rate and quality of service
Computational complexity is reduced in systems where the number of antennas and modulation constellation is large, and bit error rate (BER) performance is increased compared to maximum likelihood (ML) algorithm
Summary
Insufficient frequency spectral resources are the biggest obstacle to high-rate data transmission. Interest in the use of the NOMA technique, which is a kind of multi-carrier system that provides high-rate data transmission by using spectral resources efficiently, has increased considerably in recent years. In the study [15], an algorithm is for reducing the QR decomposition complexity, which is a pre-processing method for symbol detection, in proportion to the increase in antenna numbers. The authors of [17] in sparse code multiple access systems, modified single tree search scheme is proposed to soft outputs From these studies, it can be seen that complexity is a serious problem in the detection of data and as a result, the availability of algorithms is restricted. The BSA is proposed for symbol detection in MIMO-NOMA systems with various transmitter and receiver antennas.
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