首页|Studies from University of Science and Technology China Have Provided New Data o n Machine Learning [Machine Learning-inspired Hybrid Precodin g With Low-resolution Phase Shifters for Intelligent Reflecting Surface (Irs) Ma ssive Mimo Systems With ...]
Studies from University of Science and Technology China Have Provided New Data o n Machine Learning [Machine Learning-inspired Hybrid Precodin g With Low-resolution Phase Shifters for Intelligent Reflecting Surface (Irs) Ma ssive Mimo Systems With ...]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Anhui, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “The number of bits required in phase shifters (PS) in hybrid precoding (HP) has a significa nt impact on sum-rate, spectral efficiency (SE), and energy efficiency (EE). The space and cost constraints of a realistic massive multiple-input multiple-outpu t (MIMO) system limit the number of antennas at the base station (BS), limiting the throughput gain promised by theoretical analysis.” Funders for this research include Fundamental Research Funds for the Central Uni versities, National Natural Science Foundation of China (NSFC).
AnhuiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningUniversity of Science and Tec hnology China
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