Open AccessZF detectors for uplink distributed massive MIMO systems over Rayleigh‐inverse Gaussian composite fading channels
Author(s) -
Pradhan Bibhuti Bhusan,
Roy Lakshi Prosad
Publication year - 2019
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.0151
Subject(s) - mimo , topology (electrical circuits) , fading , telecommunications link , rayleigh fading , context (archaeology) , upper and lower bounds , detector , computer science , mathematics , algorithm , telecommunications , channel (broadcasting) , mathematical analysis , combinatorics , paleontology , biology
Massive multiple‐input multiple‐output (MIMO), together with distributed antenna systems has emerged as a promising technology in modern wireless networks because of their remarkable capacity potential and link reliability. The combined architecture, that is distributed massive MIMO (DM‐MIMO) comprises of arbitrarily located multiple radio ports (RPs) each having more than one antennas and a base station containing asymptotically large number of antennas. At the outset, the instantaneous output signal to noise ratio (SNR) corresponding to individual subchannel is obtained for ZF detector. Subsequently, closed form expression of exact and high SNR approximated ergodic capacity are obtained in the context of DM‐MIMO. The lower bound of ergodic capacity are then derived using a generalized approach, which may be applicable to all composite fading channels. Moreover, lower bound over all users are formulated in closed form considering large number of RPs located in a circular topology. In subsequent analysis, SER and OP characterization of the ZF detector over DM‐MIMO channel is presented with tractable mathematical expressions. In addition to the per subchannel based SER, the global average SER is also evaluated for the considered configurations. Finally, the implications of model parameters on ZF detectors are analysed through a set of Monte‐Carlo simulations.