On the Achievable Rates of Full-Duplex Massive MIMO Systems Under Channel Aging

Chowdhury, Anubhab; Chopra, Ribhu; Murthy, Chandra R.; Suraweera, Himal A.

doi:10.1109/spawc.2019.8815448

Cited by 7 publications

(7 citation statements)

References 16 publications

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Section: System Model and Problem Statementmentioning

confidence: 99%

“…We model the channel between the kth UL UE of the lth cell and the nth DL UE of l th cell as g lk,l n ∼ CN (0, lk,l n ). In the channel estimation phase, we assume that all the UL and DL UEs synchronously transmit orthogonal pilots for channel estimation [25], [27]. The UL and the DL estimated channels fu,jlk and fd,jlk of f u,jlk and f d,jlk , respectively, can be expressed as f x,jlk = fx,jlk + fx,jlk , x ∈ u, d, with fx,jlk being the estimation error vector, consisting of i.i.d.…”

Section: Full-duplex Multi-cell Systemsmentioning

confidence: 99%

“…The gain and the variance of the beamforming uncertainty related terms, i.e., the numerator term and the first term in the denominator of (27), can be obtained via steps similar to those in the UL case. The second term in the denominator of (27), which is the inter-UE interference due to data streams of the UEs that share pilots with the nth UE, i.e., q ∈ I n \n, can be expressed as (28)…”

Section: Appendix a Proof Of Theoremmentioning

confidence: 99%

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Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?

Chowdhury

Chopra

Murthy

2022

IEEE Trans. Commun.

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We consider a dynamic time division duplex (DTDD) enabled cell-free massive multiple-input multipleoutput (CF-mMIMO) system, where each half-duplex (HD) access point (AP) is scheduled to operate in the uplink (UL) or downlink (DL) mode based on the data demands of the user equipments (UEs), with the goal of maximizing the sum UL-DL spectral efficiency (SE). We develop a new, low complexity, greedy algorithm for the combinatorial AP scheduling problem, with an optimality guarantee theoretically established via showing that a lower bound of the sum UL-DL SE is sub-modular.We also consider pilot sequence reuse among the UEs to limit the channel estimation overhead. In CF systems, all the APs estimate the channel from every UE, making pilot allocation problem different from the cellular case. We develop a novel algorithm that iteratively minimizes the maximum pilot contamination across the UEs. We compare the performance of our solutions, both theoretically and via simulations, against a full duplex (FD) multi-cell mMIMO system. Our results show that, due to the joint processing of the signals at the central processing unit, CF-mMIMO with dynamic HD AP-scheduling significantly outperforms cellular FD-mMIMO in terms of the sum SE and 90% likely SE. Thus, DTDD enabled HD CF-mMIMO is a promising alternative to cellular FD-mMIMO, without the cost of hardware for self-interference suppression.

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Section: System Model and Problem Statementmentioning

confidence: 99%

Section: Full-duplex Multi-cell Systemsmentioning

confidence: 99%

Section: Appendix a Proof Of Theoremmentioning

confidence: 99%

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Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?

Chowdhury

Chopra

Murthy

2022

IEEE Trans. Commun.

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“…Utilising maximum ration combining (MRC) or zero‐forcing (ZF) receivers, Kong et al [14] analyse the power scaling law for massive MIMO under aging channel. Chowdhury et al [15] analyse the channel aging effect by deriving the deterministic equivalent for the achievable uplink rate with the MRC receiver. In the full‐duplex massive MIMO networks with channel aging, the MRC and maximum ratio transmission (MRT) are adopted in work [16], and the instantaneous sum‐rate is derived by deterministic equivalent.…”

Section: Introductionmentioning

confidence: 99%

Spectral efficiency analysis of multi‐cell multi‐user massive MIMO over channel aging

et al. 2020

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“…CN (0, ζ mj ), where ζ mj depends on the inter AP path loss and channel estimation error variance. Similarly, we let g nk denote the channel between nth UL UE and the kth DL UE, and we model g nk ∼ CN (0, ǫ nk ) and independent across all UEs[22].Let A be the set of AP indices, with M = |A|. Let the indices of the APs scheduled in the UL and DL modes be contained in the index sets A u and A d , respectively.…”

mentioning

confidence: 99%

Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?

Chowdhury¹,

Chopra²,

Murthy³

2021

Preprint

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We consider a dynamic time division duplex (DTDD) enabled cell-free massive multiple-input multiple-output (CF-mMIMO) system, where each half-duplex (HD) access point (AP) is scheduled to operate in the uplink (UL) or downlink (DL) mode based on the data demands of the user equipments (UEs). The goal is to maximize the sum UL-DL spectral efficiency (SE). We theoretically establish the sub-modularity of the sum SE, which allows us to develop a new, low complexity, greedy algorithm for the combinatorial AP scheduling problem, with guaranteed optimality properties. We also consider pilot sequence reuse among the UEs to limit the channel estimation overhead. In CF systems, all the APs estimate the channel from every UE, making pilot allocation problem different from the cellular case. We develop a novel algorithm that iteratively minimizes the maximum pilot contamination across the UEs.We compare our solutions, both theoretically and via simulations, against a full duplex (FD) multi-cell mMIMO system. Our results show that, due to the joint processing of the signals at the central processing unit, CF-mMIMO with dynamic HD AP-scheduling significantly outperforms cellular FD-mMIMO in terms of the sum SE and 90% likely SE. Thus, DTDD enabled HD CF-mMIMO is a promising alternative to cellular FD-mMIMO, without the cost of hardware for self-interference suppression.

show abstract

On the Achievable Rates of Full-Duplex Massive MIMO Systems Under Channel Aging

Cited by 7 publications

References 16 publications

Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?

Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?

Spectral efficiency analysis of multi‐cell multi‐user massive MIMO over channel aging

Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO?

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