Power Control for Two-Way AF Relay Assisted D2D Communications Underlaying Cellular Networks

Han, Liang; Zhou, Ranran; Li, Yupeng; Zhang, Bo; Zhang, Xin

doi:10.1109/access.2020.3017799

Cited by 18 publications

(15 citation statements)

References 28 publications

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“…Also, they have investigated the effect of these parameters in the overall network performance. The authors in [11] put forward a power control problem in which two optimization objectives are considered, i.e., maximization of the minimum SINR of D2D users and maximization of the sum-rate of D2D users for a two-way AF relay for assisting the underlay D2D communication. In [12], an interference free dual-hop D2D aided cooperative relaying strategy (CRS) based on spatial modulation has been proposed.…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of DF Relay Assisted D2D Communication in 5G mm-Wave Network

Sarma¹,

Hazra²,

Chong³

2022

Preprint

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Enabling D2D communication in the mm-Wave band has many obstacles which must be mitigated. The primary concern is the introduction of interference from various sources. Thus, we focused our work on the performance of decode and forward (DF) relay assisted D2D communication in the mm-Wave band for increasing the coverage probability and energy efficiency (EE). Three modes are proposed for D2D communication to prevail. Bit-wise binary XOR operation is executed at the relay node which increases the security feature. Radius of coverage expression is derived which indicates the switching of the modes. The diffused incoherent scattering power is also considered as a part of power consumption. Furthermore, a unique relay selection scheme, Dynamic relay selection (DRS) method is proposed to select the optimal relay for information exchange. Comparison of the proposed DF relay scheme with amplify and forward (DF) scheme is also shown. Finally, simulation results prove the efficacy of the proposed work.

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Section: Related Workmentioning

confidence: 99%

Performance Analysis of DF Relay Assisted D2D Communication in 5G mm-Wave Network

Sarma¹,

Hazra²,

Chong³

2022

Preprint

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“…Many power control algorithms based on conventional numerical or heuristic approaches have been proposed to resolve the interference problem in D2D networks [4][5][6][7][8][9][10]. A power control scheme for full-duplex D2D communications underlying cellular networks was proposed based on a high signal-to-interference-noise ratio (SINR) approximation [4].…”

Section: Related Workmentioning

confidence: 99%

“…However, FPLinQ requires a central node to collect all channel gains and to coordinate link-activation decisions in an iterative approach, which necessarily causes a heavy signaling overhead and computational complexity. A power control problem for D2D communication networks using a two-way amplify-and-forward (AF) relay was investigated in [8], where the power control problem was formulated as an optimization problem and solved using an iterative approach. A joint problem of resource allocation and power control for cellular assisted D2D networks was investigated, and an efficient framework was proposed to maximize the number of supported links [9].…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, there is inevitably a need to reduce inter-link interference by power control. Many power-control algorithms have been proposed that rely on conventional mathematical approaches [4][5][6][7][8][9][10]. Despite intensive investigations on the power control problem in D2D communication networks, the closed-form solutions of general power control problems to maximize the sum-rate of D2D communication networks in which multiple D2D links share the same radio resource are not available, as they are typically NP-hard.…”

Section: Introductionmentioning

confidence: 99%

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A Self-Regulating Power-Control Scheme Using Reinforcement Learning for D2D Communication Networks

Ban

2022

Sensors

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We investigate a power control problem for overlay device-to-device (D2D) communication networks relying on a deep deterministic policy gradient (DDPG), which is a model-free off-policy algorithm for learning continuous actions such as transmitting power levels. We propose a DDPG-based self-regulating power control scheme whereby each D2D transmitter can autonomously determine its transmission power level with only local channel gains that can be measured from the sounding symbols transmitted by D2D receivers. The performance of the proposed scheme is analyzed in terms of average sum-rate and energy efficiency and compared to several conventional schemes. Our numerical results show that the proposed scheme increases the average sum-rate compared to the conventional schemes, even with severe interference caused by increasing the number of D2D pairs or high transmission power, and the proposed scheme has the highest energy efficiency.

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“…The authors presented a new pilot mapping to reduce the inter-user interference effect and to achieve more accurate channel estimation. In [15], the authors considered device-to-device (D2D) communication in long-distance and harsh environments. A two-way amplify-and-forward relay was used to assist the underlay D2D communications.…”

Section: Introductionmentioning

confidence: 99%

Spectral Efficiency Improvement and Power Control Optimization of Massive MIMO Networks

2021

Self Cite

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Higher requirements must be put forward about wireless signal transmission in harsh environments. Energy loss mitigation, channel estimation, noise interference reduction demands high quality of service in wireless communication. In the fifth generation wireless communication, massive multiple-input multiple-output (MIMO) networks have been used and play a significant role to fulfill the requirements. Cell-Free massive MIMO networks are recognized as possible solution in the future wireless communication. Spectral efficiency (SE) is a very important index in assessing massive MIMO networks. This article tries to optimize both SE and power control of cell-free massive MIMO networks. Both uplink and downlink transmission are included in the study. The optimization model contains both SE and power control of massive MIMO networks. To tackle the model, a novel ensemble method is developed inspired by ensemble learning. The ensemble method is built up on the neighborhood field optimization method. The goodness of the developed ensemble method is verified by comparing with genetic algorithm, gradient descent method and Newton method. Extensive simulations are performed to study the optimization of SE and power control. Different wireless sensors are taken into consideration to simulate different requirements of massive MIMO networks. The results demonstrate the effectiveness of the proposed method for applying in massive MIMO networks.INDEX TERMS Massive multiple-input multiple-output, neighborhood field optimization, optimization, power control, spectral efficiency.

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Power Control for Two-Way AF Relay Assisted D2D Communications Underlaying Cellular Networks

Cited by 18 publications

References 28 publications

Performance Analysis of DF Relay Assisted D2D Communication in 5G mm-Wave Network

Performance Analysis of DF Relay Assisted D2D Communication in 5G mm-Wave Network

A Self-Regulating Power-Control Scheme Using Reinforcement Learning for D2D Communication Networks

Spectral Efficiency Improvement and Power Control Optimization of Massive MIMO Networks

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