access icon free Uplink symbol error rate analysis of multicell multiuser-multiple-input–multiple-output systems with minimum mean square error receiver under pilot contamination

This paper considers the uplink of a multicell multiuser multiple-input-multiple-output (MIMO) time-division duplexing system, where K mobile users in the target cell send their uncoded M-ary phase shift keying (M-PSK) signals to the target base station (BS) equipped with a linear minimum mean square error (MMSE) receiver in the presence of receiver antenna correlations. By employing the equivalent channel model, the uplink is analysed in terms of symbol error rate (SER), giving approximated closed-form expressions. The complicated functions of the SER can be simplified for the case where all the eigenvalues of the correlation matrix of the target BS are identical or distinct. It is proved that in the high signal to noise ratio (SNR) region, the SER is independent of the correlations between the BS antennas. And due to the existence of pilot contamination and intercell interference, the SER tends to a constant whose value is depended on the number of mobile users in each cell and the interference strength between the cells as well. Finally computer simulations are conducted to show that our approximated expressions have good performance in low SNR even for not large K.

Inspec keywords: radiofrequency interference; mobile computing; phase shift keying; antenna arrays; MIMO communication; approximation theory; least mean squares methods; cellular radio; wireless channels; error statistics; correlation methods; matrix algebra; channel estimation; eigenvalues and eigenfunctions; time division multiple access; radio receivers

Other keywords: SER; multicell multiuser multiinput-multioutput time-division duplexing system; signal-to-noise ratio region; pilot contamination; linear MMSE receiver; intercell interference; target cell; M-ary phase shift keying signals; linear minimum mean square error receiver; target base station; receiver antenna correlations; MMSE channel estimation; K mobile users; equivalent channel model; computer simulations; correlation matrix; closed-form expressions; uplink symbol error rate analysis

Subjects: Signal processing and detection; Other topics in statistics; Communication channel equalisation and identification; Modulation and coding methods; Antenna arrays; Linear algebra (numerical analysis); Electromagnetic compatibility and interference; Multiple access communication; Interpolation and function approximation (numerical analysis); Mobile radio systems

http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2015.0765
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