Error Rate and Power Allocation Analysis of Regenerative Networks over Generalized Fading Channels
Research output: Contribution to journal › Article › Scientific › peer-review
|Journal||IEEE Transactions on Communications|
|Publication status||Published - 2016|
|Publication type||A1 Journal article-refereed|
Cooperative communication has been shown to provide significant increase of transmission reliability and network capacity while expanding coverage in cellular networks. The present work is devoted to the investigation of the end-toend performance and power allocation of a maximum-ratiocombining based regenerative multi-relay cooperative network over non-homogeneous scattering environment, which is the realistic case in many practical wireless communication scenarios. Novel analytic expressions are derived for the end-to-end symbolerror- rate of both M􀀀ary Phase-Shift Keying and M􀀀ary Quadrature Amplitude Modulation over independent and nonidentically distributed generalized fading channels are given by exact analytic expressions that involve the Lauricella function and can be readily evaluated with the aid of a proposed computing algorithm. Simple analytic expressions are also derived for the corresponding symbol-error-rate at asymptotically high signal-tonoise ratios. The derived expressions are corroborated with respective results from computer simulations and are subsequently employed in formulating a sum-power optimization problem that enhances the system performance under total sum-power constraint within the multi-relay cooperative system. It is also shown that asymptotically optimum power allocation provides substantial performance gains over the corresponding equal power allocation, particularly, when the source-relay and relaydestination paths are highly unbalanced.