Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Peak to average por ratio (PAPR) and symbol loss rate (SLR) are two challenges of multicarrier based communications that have recently drawn much attention. High SLR renders the system unreliable and high PAPR is associated with por inefficiency and nonlinearity of the system. There are rich literatures studying these two issues separately but, unfortunately, only a few works have studied simultaneous reductions of PAPR and SLR.  studies the problem of reducing the PAPR while keeping the SLR at minimum.#R##N##R##N#In [1],  derived the conditions for the minimum SLR in On-Off channels. The algorithm proposed in this paper simultaneously satisfies the conditions derived in [1] and reduces the PAPR substantially.  differs from previous techniques in the sense that none of the previously proposed techniques are capable of reducing PAPR substantially while achieving the minimum symbol loss rate.#R##N##R##N# compare our algorithm with the optimum selected mapping PAPR reduction method, which is ll known in the literature for having a strong reduction capability. The comparison is done in terms of Complementary Cumulative Distribution Function (CCDF) of the PAPR of the multicarrier signal. The simulation results show that our algorithm can achieve a stronger PAPR reduction while maintaining the minimum SLR.
['Amin Alamdar Yazdi', 'Sameh Sorour', 'Shahrokh Valaee', 'Ronny Yongho Kim']
I am writing a research paper on a idea Joint Reduction of Peak to Average Power Ratio and Symbol Loss Rate in Multicarrier Systems
[{"from": "human", "value": "I am writing a research paper on a idea Joint Reduction of Peak to Average Power Ratio and Symbol Loss Rate in Multicarrier Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Peak to average por ratio (PAPR) and symbol loss rate (SLR) are two challenges of multicarrier based communications that have recently drawn much attention. High SLR renders the system unreliable and high PAPR is associated with por inefficiency and nonlinearity of the system. There are rich literatures studying these two issues separately but, unfortunately, only a few works have studied simultaneous reductions of PAPR and SLR.  studies the problem of reducing the PAPR while keeping the SLR at minimum.#R##N##R##N#In [1],  derived the conditions for the minimum SLR in On-Off channels. The algorithm proposed in this paper simultaneously satisfies the conditions derived in [1] and reduces the PAPR substantially.  differs from previous techniques in the sense that none of the previously proposed techniques are capable of reducing PAPR substantially while achieving the minimum symbol loss rate.#R##N##R##N# compare our algorithm with the optimum selected mapping PAPR reduction method, which is ll known in the literature for having a strong reduction capability. The comparison is done in terms of Complementary Cumulative Distribution Function (CCDF) of the PAPR of the multicarrier signal. The simulation results show that our algorithm can achieve a stronger PAPR reduction while maintaining the minimum SLR."}]