Achievable Rate of Multi-Cell Downlink Massive MIMO Systems with D2D Underly

Al-Rimawi, Ashraf; Ibrahim, Laith; Ajib, Wessam

doi:10.1109/vtc2020-spring48590.2020.9129647

Cited by 5 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors in [16,[23][24][25]35] have studied the achievable data rate, and energy efficiency tradeoff for D2D enabled downlink massive MIMO system employing a stochastic geometry-based analytical framework. However, these works didn't consider any resource allocation scheme for interference management and showed that the density of D2D users limits the benefits of the coexistence of D2D and massive MIMO.…”

Section: Related Workmentioning

confidence: 99%

“…The authors pointed out that there is an optimal number of users switched to D2D mode to maximize the total capacity, which strongly depends on the network parameters such as the number of BS antennas, D2D link distance and the transmission power of the BS, cellular and D2D users. The authors in [25] presented an analytical framework based on stochastic geometry for D2D underlaid a multi-cell massive MIMO communication system. Utilizing a linear precoding scheme for cellular downlink transmission, the impact of RF mismatches and the achievable cellular rate are analytically derived.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Distributed Joint Channel Assignment and Power Control for Sum Rate Maximization of D2D-Enabled Massive MIMO System

Dejen

Förster

Wondie

2022

EAI Endorsed Trans Mob Com Appl

View full text Add to dashboard Cite

Device-to-device (D2D) communications underlaid massive multiple-input multiple-output (MIMO) systems have been recognized as a promising candidate technology to achieve the challenging fifth-generation (5G) network requirements. This integration enhances network throughput, improves spectral efficiency, and offloads the traffic load of base stations. However, the co/cross-tier interferences between cellular and D2D communications caused by resource sharing is a significant challenge, especially when dense D2D users exist in an underlay mode. In this paper, we jointly optimize the channel assignment and power allocation to maximize the sum data rate while maintaining the interference constraints of cellular links. Due to the lack of network-wide information in large scale networks, resource management and interference coordination is hard to be implemented in a centralized way. Therefore, we propose a three-stage stable and distributed resource allocation and interference management scheme based on local information and requires little coordination and communication between devices. We model the channel allocation optimization problem in the first stage as a many-to-one matching game. In the second stage, the algorithm adopts a cost charging policy to solve each user’s power control problem as a non-cooperative game. In the third stage, the algorithm search for swap blocking pairs until stable matching exist. It is shown in this paper that the proposed algorithm converges to a stable matching and terminates after finite iterations. Simulation results show that the proposed algorithm can achieve more than 86% of the average transmission rate performance of the optimal matching with lower complexity.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Distributed Joint Channel Assignment and Power Control for Sum Rate Maximization of D2D-Enabled Massive MIMO System

Dejen

Förster

Wondie

2022

EAI Endorsed Trans Mob Com Appl

View full text Add to dashboard Cite

show abstract

“…The demand for mobile data access has been growing rapidly in the past few years, driven by a large number of new subscribers, high data rate applications, and emerging Internet of Things (IoT) applications, which require massive connectivity. Therefore, the limited capacity problem became prominent [1], [2]. According to Ericsson mobility report [3], mobile network data traffic grew 44% between 2020 and 2021, and reached 72 Exabyte per month generated by about 8 billion subscribers.…”

Section: Introductionmentioning

confidence: 99%

On the Performance of RIS-Assisted Communications With Direct Link Over κ-μ Shadowed Fading

Al-Rimawi

Al-Dweik

2022

IEEE Open J. Commun. Soc.

Self Cite

View full text Add to dashboard Cite

In reconfigurable intelligent surface (RIS)-assisted communications, the signal-to-noise ratio (SNR) is improved by optimizing the reflecting elements' phases to make the reflected signals add coherently at the receiver. Nevertheless, the RIS cannot control the phase of the direct link if it exists. Although the RIS phase can still be controlled such that the direct and reflected signals add coherently, the SNR gain might be hindered. Therefore, this paper considers the performance analysis of such scenarios where a novel analytical framework is developed to evaluate the SNR, outage probability, and bit error rate (BER). To capture a broad range of fading conditions, the channels are modeled as independent but not identically distributed generalized κ-µ shadowed fading channels. The Laplace transform is used to derive an accurate approximation of the probability density function (PDF) and cumulative distribution function (CDF) of the instantaneous fading, which are used to derive the PDF and CDF of the instantaneous SNR. The paper also considers deriving the asymptotic PDF, CDF, moment generating function (MGF) of the SNR, as well as the outage probability and BER. The obtained results show that a strong direct link may limit the gain obtained using the RIS.

show abstract

“…The demand for mobile data access has been growing rapidly in the past few years, driven by the large number of new subscribers, high data rate applications, and emerging Internet of Things (IoT) applications, which require massive connectivity. Therefore, the limited capacity problem became prominent [1], [2]. According to Ericsson mobility report [3], mobile network data traffic grew 44% between 2020 and 2021, and reached 72 Exabyte per month generated by about 8 billion subscribers.…”

Section: Introductionmentioning

confidence: 99%

On the Performance of RIS-Assisted Communications with Direct Link in κ-µ Shadowed Fading Channels

Al-Dweik¹,

Al-Rimawi²

2022

Preprint

Self Cite

View full text Add to dashboard Cite

Reconfigurable intelligent surfaces (RISs) is a new technology that can be used to create a virtual line-of-sight (LOS) link when the direct link is blocked. The signal-to-noise ratio (SNR) can be significantly improved by optimizing the reflecting elements’ phases to make the reflected signals add coherently at the receiver. Nevertheless, the RIS cannot control the phase of the direct link if it exists. In such scenarios, the RIS phase can still be controlled such that the direct and reflected signals add coherently, however, the gain obtained by using the RIS might be hindered. Therefore, this paper considers the performance analysis of such scenarios where a novel analytical framework is developed to evaluate the SNR, outage probability and bit error rate (BER). To capture a broad range of fading conditions, the channels are modeled as independent but not identically distributed generalized κ-µ shadowed fading channels. The Laguerre expansion is used to derive the probability density function (PDF) and cumulative distribution function (CDF) of the instantaneous channel fading, which are used to derive the PDF and CDF of the instantaneous SNR. The paper also considers deriving the asymptotic PDF, CDF, moment generating function (MGF) of the SNR, as well as the outage probability and BER. The derived expressions are used to evaluate the system performance in various fading environments such as Rayleigh, One-Sided Gaussian, Nakagami-m , Rician, and Rician-shadowed distributions since they are special cases of the κ-µ shadowed distribution. The obtained analytical results corroborated by Monte Carlo simulation show that a strong direct link can generally eliminate the gain obtained using the RIS. Therefore, the overhead required for the RIS operation becomes a burden on the network and may cause severe throughput degradation. In such scenarios, the RIS involvement should dynamically controlled to avoid unnecessary complexity and throughput reduction.

show abstract

Achievable Rate of Multi-Cell Downlink Massive MIMO Systems with D2D Underly

Cited by 5 publications

References 13 publications

Distributed Joint Channel Assignment and Power Control for Sum Rate Maximization of D2D-Enabled Massive MIMO System

Distributed Joint Channel Assignment and Power Control for Sum Rate Maximization of D2D-Enabled Massive MIMO System

On the Performance of RIS-Assisted Communications With Direct Link Over κ-μ Shadowed Fading

On the Performance of RIS-Assisted Communications with Direct Link in κ-µ Shadowed Fading Channels

Contact Info

Product

Resources

About