Co-operative Admission Control and Optimum Power Allocation underlying 5G-IoT Networks aided D2D-Satellite Communication

Awan, Asfandyar; Zhao, Qi; Hu, Shan

doi:10.1109/iwcmc48107.2020.9148069

Cited by 4 publications

(1 citation statement)

References 19 publications

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“…Most of the existing resource optimization and interference management schemes proposed for the D2Dunderlaid massive MIMO system lack a distributed joint channel assignment and power control approach to manage both co/cross-tier interferences. A considerable number of the works on D2D communication have concentrated on conventional single antenna BSs that consider various channel assignment and power control strategies to handle interference and optimize network performance [39][40][41][42][43][44][45]. However, due to massive MIMO's vast diversity and multiplexing gains, moving toward a multi-antenna BS is expected and the focus of recent research activities.…”

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

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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.

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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

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Files Delivery and Share Optimization in LEO Satellite-Terrestrial Integrated Networks: A NOMA Based Coalition Formation Game Approach

Gao

Liu

Liang

2022

IEEE Trans. Veh. Technol.

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Design of Software-Defined Radio-Based Adaptable Packet Communication System for Small Satellites

Abbas

Asami

2021

Aerospace

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Software-defined radio (SDR) devices have made a massive contribution to communication systems by reducing the cost and development time for radio frequency (RF) designs. SDRs opened the gate to programmers and enabled them to increase the capabilities of these easily manipulated systems. The next step is to upgrade the reconfigurability into adaptability, which is the focus of this paper. This research contributes to improving SDR-based systems by designing an adaptable packet communication transmitter and receiver that can utilize the communication window of CubeSats and small satellites. According to the feedback from the receiver, the transmitter modifies the characteristics of the signal. Theoretically, the system can adopt many modes, but for simplicity and to prove the concept, here, the changes are limited to three data rates of the Gaussian minimum shift keying (GMSK) modulation scheme, i.e., 2400 bps GMSK, 4800 bps GMSK and 9600 bps GMSK, which are the most popular in amateur small satellites. The system program was developed using GNU Radio Companion (GRC) software and Python scripts. With the help of GRC software, the design was simulated and its behavior in simulated conditions observed. The transmitter packetizes the data into AX.25 packets and transmits them in patches. Between these patches, it sends signaling packets. The patch size is preselected. Alternatively, the receiver extracts the data and saves it in a dedicated file. It directly replies with a feedback message whenever it gets the signaling packets. Based on the content of the feedback message, the characteristics of the transmitted signal are altered. The packet rate and the actual useful data rate are measured and compared with the selected data rate, and the packet success rate of the system operating at a fixed data rate is also measured while simulating channel noise to achieve the desired Signal-to-Noise Ratio (SNR).

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Co-operative Admission Control and Optimum Power Allocation underlying 5G-IoT Networks aided D2D-Satellite Communication

Cited by 4 publications

References 19 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

Files Delivery and Share Optimization in LEO Satellite-Terrestrial Integrated Networks: A NOMA Based Coalition Formation Game Approach

Design of Software-Defined Radio-Based Adaptable Packet Communication System for Small Satellites

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