Performance Analysis of Macro diversity MIMO Systems in Wimax Networks Using MMSE and ZF Receivers
Abstract
We considered a multiuser system where number of users communicate with a distributed receive array over Rayleigh fading paths which are independent. The receive array computes minimum mean squared error (MMSE) and perfect channel state information is assumed at the receiver. This is done when the receiving antennas are located in a single array .But when the antennas are distributed, they have different average SNRs and this is a more challenging issue. In this paper, we provide approximate distributions for the output SNR of a ZF receiver and the output signal to interference plus noise ratio (SINR) of an MMSE receiver. In addition, simple high SNR approximations are provided for the symbol error rate (SER) of both receivers a considering M-PSK or M-QAM modulations. These high SNR results provide array gain and diversity gain information as well as a remarkable simple functional link between performance and the link powers. By adding the WIMAX layer instead of MIMO, to get the better Symbol error Rate performance than MIMO.
Index Terms—Macro diversity; MMSE; ZF; outage probability; optimum combining; zero-forcing; Network MIMO; COMP
Index Terms—Macro diversity; MMSE; ZF; outage probability; optimum combining; zero-forcing; Network MIMO; COMP
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PDFCopyright (c) 2015 Kalapala Sireesha, V. Leela Satyanarayana
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