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Ravinder David Koilpillai
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Ravinder David Koilpillai
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Ravinder David Koilpillai
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Koilpillai, David Ravinder
David Koilpillai, R.
Koilpillai, David R.
Koilpillai, Ravinder D.
Koilpillai, David
Koilpillai, R. David
Koilpillai, R. D.
Koilpillai, Ravinder David
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- PublicationAnalysis of Quantized MRC-MRT Precoder for FDD Massive MIMO Two-Way AF Relaying(01-02-2019)
;Dutta, Biswajit ;Budhiraja, Rohit; Hanzo, LajosThe maturing massive multiple-input multiple-output (MIMO) literature has provided asymptotic limits for the rate and energy efficiency (EE) of maximal ratio combining/maximal ratio transmission (MRC-MRT) relaying on two-way relays (TWRs) using the amplify-and-forward (AF) principle. Most of these studies consider time-division duplexing and a fixed number of users. To fill the gap in the literature, we analyze the MRC-MRT precoder performance of an N-antenna AF massive MIMO TWR, which operates in a frequency-division duplex mode to enable two-way communication between 2M= N α single-antenna users, with α in [0,1), divided equally into two groups of M users. We assume that the relay has realistic imperfect uplink channel state information (CSI), and that quantized downlink CSI is fed back by the users relying on B ≥ 1 bits per-user per relay antenna. We prove that for such a system with α\in [0,1), the MRC-MRT precoder asymptotically cancels the multi-user interference (MUI) when the supremum and infimum of large-scale fading parameters are strictly non-zero and finite, respectively. Furthermore, its per-user pairwise error probability converges to that of an equivalent AWGN channel, as both N and the number of users 2M= N tend to infinity, with a relay power scaling of P r =(2ME r /N) and E r being a constant. We also derive upper bounds for both the per-user rate and EE. We analytically show that the quantized MRC-MRT precoder requires as few as B=2 bits to yield a BER, EE, and per-user rate close to the respective unquantized counterparts. Finally, we show that the analysis developed herein to derive a bound on α for MUI cancellation is applicable both to Gaussian as well as to any arbitrary non-Gaussian complex channels.