Research On Effective Capacity Of Communication System Under Generalized Fading Channels

Shannon's ergodic capacity of multi antenna system has been widely analyzed in previous studies.However,for the next generation wireless network,it can not explain the quality of service(QoS)requirements of some emerging real-time applications.For example,tolerable delays such as mobile video phones and interactive games are limited,and these applications are sensitive to delays,which means that data will expire if it is not delivered successfully in a period of time.Therefore,it is very important to capture the QoS metrics of communication system delay constraints.The fading effect of the channel is one of the main causes of the instantaneous channel capacity fluctuation,but how to analyze the effective rate under different fading conditions is still an open research field.In view of the above problems,the main research contents and innovations of this paper are as follows:Firstly,for the effective capacity of communication systems under Nakagami-m,Fisher-Snedecor F and κ-μ shadow fading channels,an analytical expression is obtained by using probability distribution function(PDF)of instantaneous signal to noise ratio(SNR).In addition,in order to reveal the effect of system and channel parameters on effective capacity intuitively,we derive a closed-form expression of effective capacity at asymptotically high SNR.These expressions are generalized and can be simplified to other fading channels.In the range of low SNR to high SNR,the analytical expression is very accurate,and can effectively and analytically describe the relationship between delay constraints and system parameters and effective capacity.This conclusion is confirmed by simulation experiments.Secondly,for the effective capacity of η-μ fading channel,an analytical expression is obtained by using PDF of instantaneous SNR.Compared with the effective capacity of Multiple Input Single Output(MISO)η-μ fading channel,the correctness of our analytical expression is verified.In addition,in order to reveal the effect of system and channel parameters on effective capacity intuitively,we derive a closed-form expression of effective capacity at asymptotically high SNR.These expressions are generalized and can be simplified to other fading channels.In the range of low SNR to high SNR,the analytical expression is very accurate,and can effectively and analytically describe the relationship between delay constraints and system parameters and effective capacity.This conclusion is confirmed by simulation experiments.