Spectral Efficiency and Energy Efficiency Tradeoff in Massive MIMO Downlink Transmission With Statistical CSIT

You, Li; Xiong, Jiayuan; Zappone, Alessio; Wang, Wenjin; Gao, Xiqi

doi:10.1109/tsp.2020.2986391

Cited by 70 publications

(44 citation statements)

References 54 publications

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“…where H ki is the real decomposition of H ki , and Γ is given by (21). Treating interference as noise, we can derive the rate of user k ∈ {1, 2, ..., K} as [40], [52], [58]…”

Section: System Modelmentioning

confidence: 99%

Improper Gaussian Signaling for the $K$-User MIMO Interference Channels With Hardware Impairments

Soleymani

Santamarı́a

Schreier

2020

IEEE Trans. Veh. Technol.

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This paper investigates the performance of improper Gaussian signaling (IGS) for the K-user multiple-input, multiple-output (MIMO) interference channel (IC) with hardware impairments (HWI). HWI may arise due to imperfections in the devices like I/Q imbalance, phase noise, etc. With I/Q imbalance, the received signal is a widely linear transformation of the transmitted signal and noise. Thus, the effective noise at the receivers becomes improper, which means that its real and imaginary parts are correlated and/or have unequal powers. IGS can improve system performance with improper noise and/or improper interference. In this paper, we study the benefits of IGS for this scenario in terms of two performance metrics: achievable rate and energy efficiency (EE). We consider the rate region, the sum-rate, the EE region and the global EE optimization problems to fully evaluate the IGS performance. To solve these non-convex problems, we employ an optimization framework based on majorizationminimization algorithms, which allow us to obtain a stationary point of any optimization problem in which either the objective function and/or constraints are linear functions of rates. Our numerical results show that IGS can significantly improve the performance of the K-user MIMO IC with HWI and I/Q imbalance, where its benefits increase with the number of users, K, and the imbalance level, and decrease with the number of antennas.

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“…where H ki is the real decomposition of H ki , and Γ is given by (21). Treating interference as noise, we can derive the rate of user k ∈ {1, 2, ..., K} as [40], [52], [58]…”

Section: System Modelmentioning

confidence: 99%

Improper Gaussian Signaling for the $K$-User MIMO Interference Channels With Hardware Impairments

Soleymani

Santamarı́a

Schreier

2020

IEEE Trans. Veh. Technol.

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“…2 in Section IV. As discussed, the approaches based on the ergodic capacity might achieve better average performance [6]- [8], [17]. However, they are not suitable to quasi-static channels considered in this paper [9].…”

Section: System Model and Problem Formulationmentioning

confidence: 92%

“…The reason for considering the stochastic model is that it can properly represent several types of CSI error such as the error caused by the minimum mean squared error estimator [5] or time delay in reciprocity-based channel estimation [3], [4]. For the longterm performance, a popular approach is focusing on sum ergodic data rate [6]- [8]. This approach can achieve good average performance, but, it is inapplicable to slow fading channel and delay-sensitive users since the codeword should be sufficiently long to experience all possible fading states [9,Chap.…”

Section: Introductionmentioning

confidence: 99%

On Spectral Efficiency for Multiuser MISO Systems Under Imperfect Channel Information

Tran

Juntti

2021

IEEE Trans. Veh. Technol.

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We consider downlink transmission whereby a multiantenna base station simultaneously transmits data to multiple single-antenna users. We focus on slow flat fading channel where the channel state information is imperfect, the channel estimation error is unbounded and its statistics are known. The aim is to design beamforming vectors such that the sum rate is maximized under the constraints on probability of successful transmission for each user and maximum transmit power. The optimization problem is intractable due to the chance constraints. To this end, we propose an efficient solution drawn upon stochastic optimization. In particular, we first use the step function and its smooth approximation to get an approximate nonconvex stochastic program of the considered problem. We then develop an iterative procedure to solve the stochastic program based on the stochastic successive convex approximation framework. The numerical results show that the proposed solution can achieve remarkable sum rate gains compared to the conventional one.

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“…In [20][21][22], authors consider the channel state information of the transmitter to derive the expression of the signal-to-noise ratio based on the number of PCs and antennas to optimize the trade-off. In [23], the author proposed two algorithms for complex optimization methods to obtain optimization in EE-SE trade-off.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficiency Trade-off with Spectral Efficiency in MIMO Systems

Asif¹,

Shakir²,

Nebhen³

et al. 2022

Computers, Materials &Amp; Continua

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5G technology can greatly improve spectral efficiency (SE) and throughput of wireless communications. In this regard, multiple input multiple output (MIMO) technology has become the most influential technology using huge antennas and user equipment (UE). However, the use of MIMO in 5G wireless technology will increase circuit power consumption and reduce energy efficiency (EE). In this regard, this article proposes an optimal solution for weighing SE and throughput tradeoff with energy efficiency. The research work is based on the Wyner model of uplink (UL) and downlink (DL) transmission under the multi-cell model scenario. The SE-EE trade-off is carried out by optimizing the choice of antenna and UEs, while the approximation method based on the logarithmic function is used for optimization. In this paper, we analyzed the combination of UL and DL power consumption models and precoding schemes for all actual circuit power consumption models to optimize the trade-off between EE and throughput. The simulation results show that the SE-EE trade-off has been significantly improved by developing UL and DL transmission models with the approximation method based on logarithmic functions. It is also recognized that the throughput-EE trade-off can be improved by knowing the total actual power consumed by the entire network.

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Spectral Efficiency and Energy Efficiency Tradeoff in Massive MIMO Downlink Transmission With Statistical CSIT

Cited by 70 publications

References 54 publications

Improper Gaussian Signaling for the $K$-User MIMO Interference Channels With Hardware Impairments

Improper Gaussian Signaling for the $K$-User MIMO Interference Channels With Hardware Impairments

On Spectral Efficiency for Multiuser MISO Systems Under Imperfect Channel Information

Energy Efficiency Trade-off with Spectral Efficiency in MIMO Systems

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