Liu, Chong xin; Liu, Bo; Zhang, Li jia; Xin, Xiang jun; Tian, Qing hua; Tian, Feng; Wang, Yong jun; Rao, Lan; Mao, Yaya; Li, Deng aoDuring matlab programming last decade, matlab programming orthogonal frequency division multiplexing radio over fiber OFDM ROF system with adaptive modulation technology is of serious interest due to its ability of raising matlab programming spectral efficiency dramatically, lowering matlab programming outcomes of fiber link or instant channel, and recovering matlab programming conversation quality. In this study, according to theoretical analysis of nonlinear distortion and frequency selective fading on matlab programming transmitted signal, matlab low complexity adaptive modulation algorithm is proposed in combination with sub service grouping generation. This set of rules achieves matlab programming gold standard performance of matlab programming system by calculating matlab programming average combined signal to noise ratio of each group and dynamically adjusting matlab programming origination modulation format in response to matlab programming preset threshold and user’s necessities. At matlab programming same time, this algorithm takes matlab programming sub carrier group as matlab programming smallest unit in matlab programming preliminary bit allocation and matlab programming next bit adjustment. So, matlab programming algorithm complexity is purely 1 /M M is matlab programming number of sub vendors in each group of Fischer algorithm, which is way smaller than many basic adaptive modulation algorithms, equivalent to Hughes Hartogs algorithm, Chow set of rules, and is according to matlab programming advancement course of green and high speed verbal exchange. Simulation results show that matlab programming performance of OFDM ROF system with matlab programming more desirable set of rules is far better than those without adaptive modulation, and matlab programming BER of matlab programming former achieves 10e1 to 10e2 times less than matlab programming latter when SNR values gets larger.
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Liu, Chong xin; Liu, Bo; Zhang, Li jia; Xin, Xiang jun; Tian, Qing hua; Tian, Feng; Wang, Yong jun; Rao, Lan; Mao, Yaya; Li, Deng aoDuring matlab programming last decade, matlab programming orthogonal frequency division multiplexing radio over fiber OFDM ROF system with adaptive modulation technology is of serious interest due to its ability of raising matlab programming spectral efficiency dramatically, lowering matlab programming outcomes of fiber link or instant channel, and recovering matlab programming conversation quality. In this study, according to theoretical analysis of nonlinear distortion and frequency selective fading on matlab programming transmitted signal, matlab low complexity adaptive modulation algorithm is proposed in combination with sub service grouping generation. This set of rules achieves matlab programming gold standard performance of matlab programming system by calculating matlab programming average combined signal to noise ratio of each group and dynamically adjusting matlab programming origination modulation format in response to matlab programming preset threshold and user’s necessities. At matlab programming same time, this algorithm takes matlab programming sub carrier group as matlab programming smallest unit in matlab programming preliminary bit allocation and matlab programming next bit adjustment. So, matlab programming algorithm complexity is purely 1 /M M is matlab programming number of sub vendors in each group of Fischer algorithm, which is way smaller than many basic adaptive modulation algorithms, equivalent to Hughes Hartogs algorithm, Chow set of rules, and is according to matlab programming advancement course of green and high speed verbal exchange. Simulation results show that matlab programming performance of OFDM ROF system with matlab programming more desirable set of rules is far better than those without adaptive modulation, and matlab programming BER of matlab programming former achieves 10e1 to 10e2 times less than matlab programming latter when SNR values gets larger.