On the Spectral and Energy Efficiencies of Full-Duplex Cell-Free Massive MIMO

Nguyen, Hieu V.; Nguyen, Van‐Dinh; Dobre, Octavia A.; Sharma, Shree Krishna; Chatzinotas, Symeon; Ottersten, Björn; Shin, Oh‐Soon

doi:10.1109/jsac.2020.3000810

Cited by 108 publications

(115 citation statements)

References 42 publications

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“…We next list our main contributions in this context: 1) We consider FD CF mMIMO communications with maximal ratio combining/maximal ratio transmission (MRC)/(MRT) processing and limited fronthaul with optimal uniform quantization. This is unlike the existing works on FD CF mMIMO [5]- [7], [14], which consider perfect highcapacity fronthaul links. We derive achievable SE expressions for both uplink and downlink UEs, which are valid for arbitrary number of antennas at each AP.…”

Section: Introductionmentioning

confidence: 87%

“…Alonzo et al in [13] optimized the GEE of CF and UE-centric HD mMIMO deployments in the mmWave regime. Nguyen et al in [14] maximized a novel SE-GEE metric for the FD CF mMIMO system using a Dinkelbach-like algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…We use the derived SE expression to maximize the non-convex WSEE metric. While energy-efficient design of CF mMIMO systems have been studied in literature [11]- [14], most of them focus on the GEE metric, except reference [14]. The GEE, being a single ratio, can be expressed as a pseudoconcave (PC) function and can thus be maximized using Dinkelbach's algorithm [15].…”

Section: Introductionmentioning

confidence: 99%

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Full-Duplex Cell-Free mMIMO Systems: Analysis and Decentralized Optimization

Datta¹,

Sharma²,

Amudala³

et al. 2021

Preprint

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<p>Cell-free (CF) massive multiple-input-multiple-output (mMIMO) deployments are usually investigated with half-duplex nodes and high-capacity fronthaul links. To leverage the possible gains in throughput and energy efficiency (EE) of full-duplex (FD) communications, we consider a FD CF mMIMO system with practical limited-capacity fronthaul links. We derive closed-form spectral efficiency (SE) lower bounds for this system with maximum-ratio combining/maximum-ratio transmission processing and optimal uniform quantization. We then optimize the weighted sum EE (WSEE) via downlink and uplink power control by using a two-layered approach: the first layer formulates the optimization as a generalized convex program, while the second layer solves the optimization decentrally using alternating direction method of multipliers. We analytically show that the proposed two-layered formulation yields a Karush-Kuhn-Tucker point of the original WSEE optimization. We numerically show the influence of weights on the individual EE of the users, which demonstrates the utility of WSEE metric to incorporate heterogeneous EE requirements of users. We show that the low fronthaul capacity reduces the number of users each AP can support, and the cell-free system, consequently, becomes user-centric.</p>

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Section: Introductionmentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Full-Duplex Cell-Free mMIMO Systems: Analysis and Decentralized Optimization

Datta¹,

Sharma²,

Amudala³

et al. 2021

Preprint

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show abstract

“…Deep Learning [176][177][178][179][180] Channel Model Rician fading [181][182][183] Spatially correlated Rayleigh fading [184][185][186] Miscellaneous Full-duplex [187][188][189] Channel non-reciprocity [190] Asynchronous reception [191] System information broadcast [192] Over-the-air signaling [193,194] Multi-antenna users [195,196] Frequency division duplex [197] Stochastic geometry [198] Dynamic Resource allocation [199] Wireless power transfer [200]…”

Section: Topics Aspects and Referencesmentioning

confidence: 99%

Cell-Free Massive MIMO : Scalability, Signal Processing and Power Control

Interdonato

2020

Linköping Studies in Science and Technology. Dissertations

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Linköping 2020 This is a Swedish Doctor of Philosophy thesis. The Doctor of Philosophy degree comprises 240 ECTS credits of postgraduate studies. Cover: Illustration of the Ericsson Radio Stripes concept, co-invented by the author of this thesis. The Radio Stripes constitute a way to implement a cell-free massive MIMO system. They aim at enabling invisible, low-cost deployment of large number of distributed access points in the vicinity of the users. This is achieved by serial integration of several transmitting and receiving components into a cable (or stripe) which also provides fronthaul communication and power supply.

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“…Despite the challenges of self-interference (SI, from transmit to receive antennas at the FD nodes) and co-channel interference (CCI, from UL HD-UEs to DL HD-UEs), many efforts were taken to decrease the SI below the noise floor for the SE and EE of FD-based systems to be guaranteed. In combination with NOMA, FD systems were proved to provide a significant SE/EE gain and robustness against the SI and channel uncertainty owing to a joint utilization of power allocation and time-frequency resource sharing for the DL and UL transmissions [115][116][117][118][119]. Particularly, an SIC was utilized for the UL transmission with random decoding order as in [116], while a general optimization design for DL clustering and UL decoding order was recently considered in an FD NOMA system [117].…”

Section: Full-duplex Radiomentioning

confidence: 99%

A Survey on Non-Orthogonal Multiple Access: From the Perspective of Spectral Efficiency and Energy Efficiency

et al. 2020

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Non-orthogonal multiple access (NOMA) is a promising technology for next-generation wireless networks with emerging demands on low latency, high throughput, and massive connectivity. Unlike orthogonal multiple access, NOMA allows multiple users to share the same radio resources, which significantly improves spectral efficiency (SE). To achieve green wireless communications for numerous networked devices, NOMA helps reduce energy consumption while satisfying rate fairness and quality-of-experience requirements. The goal of this paper is to introduce the innovative approaches for NOMA in terms of the SE and energy efficiency, and discuss emerging technologies involved with NOMA. Further, its challenges and future research directions are highlighted.

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On the Spectral and Energy Efficiencies of Full-Duplex Cell-Free Massive MIMO

Cited by 108 publications

References 42 publications

Full-Duplex Cell-Free mMIMO Systems: Analysis and Decentralized Optimization

Full-Duplex Cell-Free mMIMO Systems: Analysis and Decentralized Optimization

Cell-Free Massive MIMO : Scalability, Signal Processing and Power Control

A Survey on Non-Orthogonal Multiple Access: From the Perspective of Spectral Efficiency and Energy Efficiency

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