Improper Gaussian Signaling for Computationally Tractable Energy and Information Beamforming

Yu, Hongwen; Tuan, Hoang Duong; Nasir, Ali A.; Duong, Trung Q.; Hanzo, Lajos

doi:10.1109/tvt.2020.3025371

Cited by 12 publications

(22 citation statements)

References 21 publications

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“…RIS can modulate the channels, thus providing another degree-of-freedom to improve the coverage and/or manage interference. The papers [31], [33], [34], [36], [39]- [41] showed that RIS can improve the performance of singlecell and/or multi-cell BCs. The paper [42], [43] showed that RIS can enlarge the rate region of the K-user multiple-input, single-output (MISO) ICs.…”

Section: A Literature Reviewmentioning

confidence: 99%

“…In addition to RS and RIS, there are other interferencemanagement tools such as improper Gaussian signaling (IGS) [39], [46]- [69]. In a zero-mean proper complex Gaussian signal, the real and imaginary parts of the signal are independent and identically distributed (iid).…”

Section: A Literature Reviewmentioning

confidence: 99%

“…IGS has been shown to increase the DoF of the 3-user SISO IC for the first time in the literature in [46]. Later, IGS was employed to improve the spectral and/or energy efficiency of various interference-limited systems such as multi-user ICs [56]- [61], cognitive radio [49]- [52], BCs [39]- [41], among others. We refer the reader to [69] for a Interference is not, unfortunately, the only factor limiting the performance of wireless systems.…”

Section: A Literature Reviewmentioning

confidence: 99%

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Rate Splitting in MIMO RIS-assisted Systems with Hardware Impairments and Improper Signaling

Soleymani¹,

Santamarı́a²,

Jorswieck³

2022

Preprint

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In this paper, we propose an optimization framework for rate splitting (RS) techniques in multiple-input multipleoutput (MIMO) reconfigurable intelligent surface (RIS)-assisted systems, possibly with I/Q imbalance (IQI). This framework can be applied to any optimization problem in which the objective and/or constraints are linear functions of the rates and/or transmit covariance matrices. Such problems include minimum-weighted and weighted-sum rate maximization, total power minimization for a target rate, minimum-weighted energy efficiency (EE) and global EE maximization. The framework may be applied to any interference-limited system with hardware impairments. For the sake of illustration, we consider a multicell MIMO RIS-assisted broadcast channel (BC) in which the base stations (BSs) and/or the users may suffer from IQI. Since IQI generates improper noise, we consider improper Gaussian signaling (IGS) as an interference-management technique that can additionally compensate for IQI. We show that RS when combined with IGS can substantially improve the spectral and energy efficiency of overloaded networks (i.e., when the number of users per cell is larger than the number of transmit/receive antennas).

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Section: A Literature Reviewmentioning

confidence: 99%

Section: A Literature Reviewmentioning

confidence: 99%

Section: A Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Rate Splitting in MIMO RIS-assisted Systems with Hardware Impairments and Improper Signaling

Soleymani¹,

Santamarı́a²,

Jorswieck³

2022

Preprint

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“…Explicitly, this is regarded as improper Gaussian signaling (IGS) in contrast to the proper Gaussian signaling (PGS) scheme of ( 14), which has been shown to enhance the throughput of severely interference-limited networks [34]- [36] . The reader is also referred to [37] for another instantiation of IGS based (traditional) RZFB.…”

Section: A Igs Problem Statementmentioning

confidence: 99%

A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks

Zhu¹,

Tuan²,

Dutkiewicz³

et al. 2021

IEEE Trans. Commun.

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A multi-user fog radio access network (F-RAN) is designed for supporting content-centric services. The requested contents are partitioned into sub-contents, which are then 'beamformed' by the remote radio heads (RRHs) for transmission to the users. Since a large number of beamformers must be designed, this poses a computational challenge. We tackle this challenge by proposing a new class of regularized zero forcing beamforming (RZFB) for directly mitigating the inter-content interferences, while the 'intra-content interference' is mitigated by successive interference cancellation at the user end. Thus each beamformer is decided by a single real variable (for proper Gaussian signaling) or by a pair of complex variables (for improper Gaussian signaling). Hence the total number of decision variables is substantially reduced to facilitate tractable computation. To address the problem of energy efficiency optimization subject to multiple constraints, such as individual user-rate requirement and the fronthauling constraint of the links between the RRHs and the centralized baseband signal processing unit, as well as the total transmit power budget, we develop low-complexity pathfollowing algorithms. Finally, we confirm their performance by simulations.Index Terms-Fog radio access network (F-RAN), soft-transfer fronthauling, regularized zero-forcing beamforming, content service, Gaussian signaling.

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“…• Like in [27], here we also use improper Gaussian signaling (IGS) in the BS signal transmission, which has been shown to substantially improve the users' max-min rates (see e.g. [28]- [32]) thanks to its ability to mitigate the severe interferences in interference-limited systems. The performance gap between IGS and conventional proper Gaussian signaling (PGS) becomes substantially wider under more severe interference regimes.…”

Section: Introductionmentioning

confidence: 99%

Maximizing the Geometric Mean of User-Rates to Improve Rate-Fairness: Proper vs. Improper Gaussian Signaling

Tuan

Dutkiewicz

et al. 2022

IEEE Trans. Wireless Commun.

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This papers considers a reconfigurable intelligent surface (RIS)-aided network, which relies on a multiple antenna array aided base station (BS) and a RIS for serving multiple single antenna downlink users. To provide reliable links to all users over the same bandwidth and same time-slot, the paper proposes the joint design of linear transmit beamformers and the programmable reflecting coefficients of an IRS to maximize the geometric mean (GM) of the users' rates. A new computationally efficient alternating descent algorithm is developed, which is based on closed-forms only for generating improved feasible points of this nonconvex problem. We also consider the joint design of widely linear transmit beamformers and the programmable reflecting coefficients to further improve the GM of the users' rates. Hence another alternating descent algorithm is developed for its solution, which is also based on closed forms only for generating improved feasible points. Numerical examples are provided to demonstrate the efficiency of the proposed approach.

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Improper Gaussian Signaling for Computationally Tractable Energy and Information Beamforming

Cited by 12 publications

References 21 publications

Rate Splitting in MIMO RIS-assisted Systems with Hardware Impairments and Improper Signaling

Rate Splitting in MIMO RIS-assisted Systems with Hardware Impairments and Improper Signaling

A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks

Maximizing the Geometric Mean of User-Rates to Improve Rate-Fairness: Proper vs. Improper Gaussian Signaling

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