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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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2 results
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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. - PublicationLimited-Feedback Low-Encoding Complexity Precoder Design for Downlink of FDD Multi-User Massive MIMO Systems(01-05-2017)
;Dutta, Biswajit ;Budhiraja, RohitWe investigate a limited feedback precoder based on symbol pairwise error probability (PEP) for a block-faded K × nt downlink multiple-input multiple-output (MIMO) channel. In the considered system, K = ⌊ntα⌋ single-antenna users feedback quantized channel state information to the nt-antenna transmitter using B bits per-transmit-antenna per user. We analytically show that for α <(1/2), B ≥ 1 and nt → ∞, both symbol PEP and achievable rate of each of the K downlink users almost surely converge to the symbol PEP and achievable rate of K parallel additive white Gaussian noise (AWGN) channels, respectively. We show that the encoding complexity of the precoder is O(ntK). We also show that if channel coefficients estimated by the user are corrupted by AWGN noise, the symbol PEP and achievable rate of each user almost surely converge to the symbol PEP and achievable rate in a scaled AWGN channel with B>1 and nt → ∞. For correlated channels, we derive a condition, which enables the proposed precoder almost surely to cancel multi-user interference for large nt values. Finally, we numerically compare the bit error rate, encoding complexity, and per-user achievable rate of the proposed scheme with the existing designs.