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The authors declare that they have no competing interests.
The main contribution of this paper is summarized as follows: (1) An efficient CSD has been proposed that approaches the linear complexity for practical large-scale MIMO systems. This is because the proposed CSD significantly reduces the required number of times for performing enumeration and the span of the detection tree. (2) Due to the ACs, the performance loss of the conventional CSD is compensated. (3) The search strategy of the proposed CSD can be easily extended to the LSD with lower complexity. (4) The scatter list generation and the ML ordering accelerate the construction of the list and make the LSD more suitable for the parallel hardware implementation. All authors read and approved the final manuscript.
In this paper, sphere decoding algorithms are proposed for both hard detection and soft processing in multi-input multi-output (MIMO) systems. Both algorithms are based on the complex tree structure to reduce the complexity of searching the unique minimum Euclidean distance and multiple Euclidean distances, and obtain the corresponding transmit symbol vectors. The novel complex hard sphere decoder for MIMO detection is presented first, and then the soft processing of a novel sphere decoding algorithm for list generation is discussed. The performance and complexity of the proposed techniques are demonstrated via simulations in terms of bit error rate (BER), the number of nodes accessed and floating-point operations (FLOPS).
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- Successive interference cancellation aided sphere decoder for multi-input multi-output systems
LI Alex LI
Rodrigo C. de Lamare
Alister G. Burr
- Springer International Publishing
EURASIP Journal on Wireless Communications and Networking
Elektronische ISSN: 1687-1499
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