Journal
IEEE COMMUNICATIONS LETTERS
Volume 20, Issue 3, Pages 490-493Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2015.2514281
Keywords
Massive MIMO; data detection; matrix inversion; Newton iteration; Neumann series
Categories
Funding
- NSF of China [61170083]
- Specialized Research Fund for Doctoral Program of Higher Education [20114307110001]
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Currently, massive multiple-input multiple-output (MIMO) is one of the most promising wireless transmission technologies for 5G. Massive MIMO requires handling with large-scale matrix computation, especially for matrix inversion. In this letter, we find that matrix inversion based on Newton iteration (NI) is suitable for data detection in massive MIMO system. In contrast with recently proposed polynomial expansion (PE) method for matrix inversion, we analyze both the algorithm complexity and precision in detail, and propose a diagonal band Newton iteration (DBNI) method, which is an approximate method for NI. Compared with PE method, DBNI can obtain higher precision and approximately equal complexity, and we give an explanation of how to select the bandwidth of DBNI.
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