Title :
Asynchronous transmission of wireless multicast system with genetic joint antennas selection
Author :
Jihua Lu ; Xiangming Li ; Dan Liu
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
Abstract :
Optimal antenna selection algorithm of multicast transmission can significantly reduce the number of antennas and can acquire lower complexity and high performance which is close to that of exhaustive search. An asynchronous multicast transmission mechanism based on genetic antenna selection is proposed. The computational complexity of genetic antenna selection algorithm remains moderate while the total number of antennas increases comparing with optimum searching algorithm. Symbol error rate (SER) and capacity of our mechanism are analyzed and simulated, and the simulation results demonstrate that our proposed mechanism can achieve better SER and sub-maximum channel capacity in wireless multicast systems.
Keywords :
antennas; computational complexity; genetic algorithms; radio networks; asynchronous multicast transmission mechanism; asynchronous transmission; computational complexity; exhaustive search; genetic antenna selection; genetic joint antennas selection; optimal antenna selection algorithm; optimum searching algorithm; symbol error rate; wireless multicast system; Biological cells; Broadband antennas; Genetics; Receiving antennas; Transmitting antennas; Multicast system; asynchronous transmission; generic antenna selection; symbol error rate; system capacity;
Conference_Titel :
Wireless Communications and Networking Conference Workshops (WCNCW), 2013 IEEE
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-0109-8
Electronic_ISBN :
978-1-4799-0108-1
DOI :
10.1109/WCNCW.2013.6533317