Analysis of quantized MRC-MRT precoder for FDD massive MIMO two-way AF relaying
Analysis of quantized MRC-MRT precoder for FDD massive MIMO two-way AF relaying
The 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 (TWR) 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 a N -antenna AF massive MIMO TWR, which operates in frequency division duplex mode to enable two-way communication between 2M = ⌊N α ⌋ single-antenna users, with α ∈ [0, 1), divided equally in 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 ∈ [0, 1), the MRC-MRT precoder asymptotically cancels the multi-user interference (MUI) when the supremum and infimum of large scale fading parameters is strictly non-zero and finite, respectively. Furthermore, its per-user pairwise error probability (PEP) converges to that of an equivalent AWGN channel as both N and the number of users 2M = ⌊N α ⌋ tend to infinity, with a relay power scaling of Pr = 2M Er and Er being a constant. N 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.
Dutta, B.
c3cf0897-8c3a-4aa9-a710-e5969083fba2
Budhiraja, R.
5efe5870-d98a-4b27-ba80-2bf7b5207bcf
Koipillai, R. D.
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Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Dutta, B.
c3cf0897-8c3a-4aa9-a710-e5969083fba2
Budhiraja, R.
5efe5870-d98a-4b27-ba80-2bf7b5207bcf
Koipillai, R. D.
60acec33-6360-4fde-bc53-4af9bc759191
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Dutta, B., Budhiraja, R., Koipillai, R. D. and Hanzo, L.
(2018)
Analysis of quantized MRC-MRT precoder for FDD massive MIMO two-way AF relaying.
IEEE Transactions on Communications.
(doi:10.1109/TCOMM.2018.2879931).
Abstract
The 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 (TWR) 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 a N -antenna AF massive MIMO TWR, which operates in frequency division duplex mode to enable two-way communication between 2M = ⌊N α ⌋ single-antenna users, with α ∈ [0, 1), divided equally in 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 ∈ [0, 1), the MRC-MRT precoder asymptotically cancels the multi-user interference (MUI) when the supremum and infimum of large scale fading parameters is strictly non-zero and finite, respectively. Furthermore, its per-user pairwise error probability (PEP) converges to that of an equivalent AWGN channel as both N and the number of users 2M = ⌊N α ⌋ tend to infinity, with a relay power scaling of Pr = 2M Er and Er being a constant. N 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.
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Accepted/In Press date: 30 October 2018
e-pub ahead of print date: 9 November 2018
Identifiers
Local EPrints ID: 425906
URI: http://eprints.soton.ac.uk/id/eprint/425906
ISSN: 0090-6778
PURE UUID: d57777c8-113c-4338-be10-7fd1c7678c17
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Date deposited: 06 Nov 2018 17:30
Last modified: 18 Mar 2024 05:14
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Author:
B. Dutta
Author:
R. Budhiraja
Author:
R. D. Koipillai
Author:
L. Hanzo
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