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Research Article

Enhancing Performance of Block Diagonalization Precoding in Multi User MIMO Downlink using Cuckoo Search Algorithm

Sakshi Agarwal  ·  Pankaj Rathi

IJDACR Vol.6 No.12 (July 2018) ISSN 2319-4863 Open Access Peer Reviewed

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.6 · Issue 12

Published

July 2018

Access

Open Access

Licence

CC BY-NC-SA 4.0

Authors

Sakshi Agarwal Pankaj Rathi

Abstract

The rapid development in the field of mobile telephony and the integration of new services, especially multi-media, opened the door for the development of new technologies that will be able to meet and satisfy these needs. It has been clearly established that the introduction of MIMO technology can increase throughput and improve quality through the two main techniques: spatial multiplexing and transmission diversity. On the user side there are two main modes which are: single user (SU) and multi-user (MU). The present work develops one of the many existing solutions to mitigate the co-channel interference present in a Cellular System, which uses multi-user MIMO (multiple inputs) technology, in order to increase the capacity of the system at the expense of signal processing in the transmitter. This paper presents Cuckoo Search (CS) optimized Block Diagonalization precoding for multi-user MIMO system to reduce the error rate in the system.

How to Cite

Sakshi Agarwal, Pankaj Rathi (2018). Enhancing Performance of Block Diagonalization Precoding in Multi User MIMO Downlink using Cuckoo Search Algorithm. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.6, Issue 12. ISSN: 2319-4863.

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Article Info

Journal IJDACR
Volume Vol. 6
Issue No. 12
Month July
Year 2018
ISSN 2319-4863
Access Open Access

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