Recent Advances in Wireless Communication and Artificial Intelligence |
Foundation of Computer Science USA |
RAWCAI - Number 3 |
September 2014 |
Authors: Neha Kothari, Pranay Joshi, Varun Jain, Gaurav Joshi |
313d1985-0eb6-4b51-8520-c135e7800e8b |
Neha Kothari, Pranay Joshi, Varun Jain, Gaurav Joshi . Performance Evaluation of MIMO Symbol Detection Techniques in LTE Downlink Extended Pedestrian Environment for Spatial Multiplexing. Recent Advances in Wireless Communication and Artificial Intelligence. RAWCAI, 3 (September 2014), 5-8.
In wireless Multiple Input Multiple Output (MIMO) channels, the accurate detection of the transmitted information becomes complex with the order of MIMO. The complexity issues become even more pronounced with the order of modulation viz. 16-QAM, 64-QAM and 256-QAM. This paper evaluates the performance of Long Term Evolution (LTE) downlink in the extended pedestrian environment for various MIMO symbol detection techniques. Channel Detector algorithms such, Minimum Mean Square Error (MMSE), Zero Forcing (ZF) and Sphere Decoding have been evaluated for various modulation schemes. The investigation being undertaken is in terms of Physical layer BER with specific application to Spatial Multiplexing.