Spectral Efficiency Optimization of Spatially-Correlated Multi-Pair Full-Duplex Massive MIMO Relaying

Amudala, Dheeraj Naidu; Sharma, Ekant; Budhiraja, Rohit

doi:10.1109/tcomm.2019.2944373

Cited by 12 publications

(7 citation statements)

References 34 publications

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“…( 32)- (36), and the "Numerical Results" are generated according to Eqns. ( 18)-( 23) and ( 25)- (28). We can observe that large-scale approximations closely match the numerical results, and the sum SE increases with increasing inter-antenna distance while experiencing a smaller spatial correlation.…”

Section: ) Total Complexitysupporting

confidence: 73%

“…( 42)- (46), and the "Numerical Results" are generated by Eqns. ( 18)-( 23) and ( 25)- (28). We can see that the sum SE increases as the inter-antenna distance increases and begins to saturate when d > 0.5λ.…”

Section: ) Total Complexitymentioning

confidence: 84%

“…where R represents the sum SE defined in Eqn. (28) and P tot represents the total power consumption.…”

Section: Energy Efficiencymentioning

confidence: 99%

“…Both works considered correlated channels while [27] illustrated a single-pair massive MIMO full-duplex relay with only two MIMO users, and [6] studied a two-way full-duplex multi-pair massive MIMO relay. [28] derived the SE lower-bound for a spatially correlated massive MIMO two-way full-duplex AF relay, valid for an arbitrary number of relay antennas. [29] studies a multi-pair two-way full-duplex AF massive MIMO relaying system with nonnegligible direct links between all user pairs.…”

Section: Introductionmentioning

confidence: 99%

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Multipair Relaying With Space-Constrained Large-Scale MIMO Arrays: Spectral and Energy Efficiency Analysis With Incomplete CSI

Qian

Masouros

2021

IEEE Open J. Commun. Soc.

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In this paper, we study a multi-pair two-way large-scale multiple-input multiple-output (MIMO) decode-and-forward relay system. Multiple single-antenna user pairs exchange information via a shared relay working at half-duplex. The proposed scenario considers a practical case where an increasing number of antennas is deployed in a fixed physical space, giving rise to a trade-off between antenna gain and spatial correlation. The channel is assumed imperfectly known, and the relay employs linear processing methods. We study the large-scale approximations of the sum spectral efficiency (SE) and investigate the energy efficiency (EE) with a practical power consumption model when the number of relay antennas becomes large. We demonstrate the impact of the relay antenna number and spatial correlation with reducing inter-antenna distance on the EE performance. We exploit the increasing spatial correlation to allow an incomplete channel state information (CSI) acquisition where explicit CSI is acquired only for a subset of antennas. Our analytical derivations and numerical results show that applying the incomplete CSI strategy in the proposed system can improve the EE against complete CSI systems while maintaining the average SE performance.

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Section: ) Total Complexitysupporting

confidence: 73%

Section: ) Total Complexitymentioning

confidence: 84%

“…where R represents the sum SE defined in Eqn. (28) and P tot represents the total power consumption.…”

Section: Energy Efficiencymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multipair Relaying With Space-Constrained Large-Scale MIMO Arrays: Spectral and Energy Efficiency Analysis With Incomplete CSI

Qian

Masouros

2021

IEEE Open J. Commun. Soc.

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“…However, the power allocation in FD-style CF systems is non-convex and computationally challenging due to the large size of optimization variables. To date, many optimization algorithms for resource allocation have been proposed, such as Dinkelbach's transform [16], quadratic transform (QT) [17,18], dual decomposition [19] and successive convex approximation (SCA) [20,21]. These approaches can generally converge to local optimum within several iterations, but their computational complexity expands exponentially as the size of network.…”

Section: A Related Workmentioning

confidence: 99%

Heterogeneous graph neural network for power allocation in multicarrier-division duplex cell-free massive MIMO systems

Li¹,

Yang²,

Maunder³

et al. 2022

Preprint

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In-band full duplex-based cell-free (IBFD-CF) systems suffer from severe interference problem including self-interference (SI) and cross-link interference (CLI), especially when cell-free (CF) systems are operated in a distributed way. To this end, we propose multicarrier-division duplex (MDD) as an enabler for full-duplex (FD)-style operation in distributed CF massive MIMO systems, where DL and UL transmissions take place simultaneously at the same frequency band but mutually orthogonal subcarrier sets. In order to maximize the spectral efficiency (SE) in the proposed systems, we present heterogeneous graph neural network specific for CF systems (CF-HGNN), which consists of an adaptive node embedding layer, meta-path based message passing, meta-path based attention and downstream power allocation learning. In particular, the adaptive node embedding layer can handle the varying number of access points (APs), mobile stations (MSs) and subcarriers, and the involved attention mechanism enables each AP/MS node in CF-HGNN to aggregate the information from interfering path and communication path with different priorities. Numerical results show that CF-HGNN is capable of using 10 4 times less operation time to achieve the 99% performance of the SE of quadratic transform and successive convex approximation (QT-SCA). Additionally, CF-HGNN also significantly outperforms unfair greedy method in terms of SE performance. Furthermore, CF-HGNN exhibits good adaptivity to varying number of nodes and subcarriers, and also generalization ability to different sizes of CF network.

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Full-Duplex Multi-Hop Communication for Beyond 5G

Sharma

Singh

2022

Signals and Communication Technology

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Spectral Efficiency Optimization of Spatially-Correlated Multi-Pair Full-Duplex Massive MIMO Relaying

Cited by 12 publications

References 34 publications

Multipair Relaying With Space-Constrained Large-Scale MIMO Arrays: Spectral and Energy Efficiency Analysis With Incomplete CSI

Multipair Relaying With Space-Constrained Large-Scale MIMO Arrays: Spectral and Energy Efficiency Analysis With Incomplete CSI

Heterogeneous graph neural network for power allocation in multicarrier-division duplex cell-free massive MIMO systems

Full-Duplex Multi-Hop Communication for Beyond 5G

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