Open AccessEfficient Capacity-Based Joint Quantized Precoding and Transmit Antenna Selection Using Cross-Entropy Method for Multiuser MIMO Systems
Author(s) -
Jung-Chieh Chen,
Min-Han Chiu,
Yi-Syun Yang,
Kuan-Yuen Liao,
Chih-Peng Li
Publication year - 2012
Publication title -
international journal of antennas and propagation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.282
H-Index - 37
eISSN - 1687-5877
pISSN - 1687-5869
DOI - 10.1155/2012/965834
Subject(s) - precoding , telecommunications link , mimo , computational complexity theory , transmitter , computer science , joint (building) , zero forcing precoding , antenna (radio) , entropy (arrow of time) , algorithm , cross entropy , electronic engineering , mathematical optimization , channel (broadcasting) , mathematics , telecommunications , engineering , principle of maximum entropy , architectural engineering , physics , quantum mechanics , artificial intelligence
The current paper considers the joint precoding and transmit antenna selection to reducehardware cost, such as radio-frequency chains, associated with antennas in the downlink of multiusermultiple-input multiple-output systems with limited feedback. The joint precoding and transmitantenna selection algorithm requires an exhaustive search of all possible combinations andpermutations to find the optimum solution at the transmitter, thus resulting in extremely high computationalcomplexity. To reduce the computational load while still maximizing channel capacity,the cross-entropy (CE) method is adopted to determine the suboptimum solution. Compared withthe conventional genetic algorithm and random search method, the CE method provides betterperformance under the same computational complexity, as shown by the simulation results
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