Research Article
Garima Sogani · Praveen Patidar
Journal
International Journal of Digital Applications and Contemporary Research (IJDACR)
ISSN
2319-4863
Volume / Issue
Vol.6 · Issue 8
Published
March 2018
Access
Open Access
Licence
CC BY-NC-SA 4.0
Diversity in MIMO applications tends to ameliorate the architecture of system for compensation with upgraded hardware and software requirements. Single-user MIMO systems allow one user to be serviced per transmission interval. This maximizes the throughput of a single user, but its disadvantage is that it does not take advantage of multi-user diversity. Multi-user MIMO systems (MU-MIMO) have become the main technique for meeting the requirements.
This paper presents Block Diagonalization and genetically optimized Block Diagonalization precoding for multi user MIMO system in Nakagami Fading Channel to reduce error rate in system. Both the method reduces the error probability efficiently as shown in results, to enhance the performance of system. The optimization of Block Diagonalization process using genetic algorithm is proposed in this paper and the results are showing that the proposed technique significantly improves the performance of Block Diagonalization method.
Garima Sogani, Praveen Patidar (2018). Block Diagonalization Precoding using Genetic Algorithm for Multi-User MIMO System in Nakagami Channel. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.6, Issue 8. ISSN: 2319-4863.
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