Selection of Appropriate Detection Scheme for Optimum Performance-Complexity Trade-Off in 3GPP Suburban Macrocell Wireless MIMO Environments | Zendy

Nikita Jain | Zendy; Shivpratap Pandey | Zendy; Piyush Sharma | Zendy

Open Access

Selection of Appropriate Detection Scheme for Optimum Performance-Complexity Trade-Off in 3GPP Suburban Macrocell Wireless MIMO Environments

Author(s) -

Nikita Jain,

Shivpratap Pandey,

Piyush Sharma

Publication year - 2015

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2015907600

Subject(s) - macrocell , computer science , mimo , selection (genetic algorithm) , wireless , scheme (mathematics) , computer network , telecommunications , machine learning , base station , channel (broadcasting) , mathematics , mathematical analysis

This paper presents an analytical solution to the problem of selecting an optimum symbol detector for wireless MIMO communications in the LTE/4G suburban macrocell environments. Since, the use of a symbol detector in MIMO systems is often limited by the complexity it offers, it is of vital importance to use a detector which offers reliable performance but does not offer high complexity. This paper analyses the error rate performance and computational complexity of Zero Forcing (ZF), Minimum Mean Square Error (MMSE) and Maximum Likelihood (ML) and suggests the optimum detectors with reasonable complexityperformance trade-off.

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