Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In a spatial multiplexing system with multiple antennas on both sides of a wireless link, it is preferable to adopt the maximum likelihood (ML) detection to fully extract both multiplexing and diversity gain. ,  present a new tree search based near ML detector that applies a new ordering in conjunction with efficient node exploration strategy. The error performance of the new detector closely approaches that of the ML detector. Hover, it is far less complex than conventional suboptimal tree detectors and maintains a fixed detection delay.
['Wenjie Jiang', 'Yusuke Asai', 'Shuji Kubota']
I am writing a research paper on a idea Tree Search based Approximate Maximum Likelihood Detector for Spatial Multiplexing Systems
[{"from": "human", "value": "I am writing a research paper on a idea Tree Search based Approximate Maximum Likelihood Detector for Spatial Multiplexing Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In a spatial multiplexing system with multiple antennas on both sides of a wireless link, it is preferable to adopt the maximum likelihood (ML) detection to fully extract both multiplexing and diversity gain. ,  present a new tree search based near ML detector that applies a new ordering in conjunction with efficient node exploration strategy. The error performance of the new detector closely approaches that of the ML detector. Hover, it is far less complex than conventional suboptimal tree detectors and maintains a fixed detection delay."}]