Abstract:

MIMO applications’ diversity tends to improve system architecture in order to compensate for increased hardware and software requirements. A single user can be served every transmission interval in single- user MIMO systems. This maximises the throughput of a single user, but it has the disadvantage of ignoring the benefits of multi-user variation. Multi-user MIMO systems have emerged as the primary method for satisfying the demands. Eliminating co-channel interference is one of the most difficult challenges in MU-MIMO. Block diagonalization (BD) is a linear precoding approach that totally re- moves multi-user interference (MUI) in MU-MIMO broadcast channels, while it is wasteful in terms of processing. To address this, we have created a unique algorithm which optimizes (Bacterial Foraging Optimization) and evaluates it on a range of fading channel models, including as Rician, Rayleigh, Nakagami, and Alpha –Mu, as well as tests it for changes in the number of users and order of modulation. The simulation results indicate that both the Block diagonalization and Bacterial Foraging Optimized block diagonalization techniques show inverse relation between BER and SNR for all the four fading channels. By employing the Bacterial Foraging optimization along with the traditional Block Diagonalization technique in the pre-coders, we can greatly reduce the BER for a given SNR value. This in-turn saves a lot of power in transmission of the signal. The Nakagami channel out-performs all other channels and can be considered as a practical viable channel for present day communications.

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