scholarly journals Social-Aware-Based Resource Allocation for NOMA-Enhanced D2D Communications

2020 ◽  
Vol 10 (7) ◽  
pp. 2446
Author(s):  
Wenying Gu ◽  
Qi Zhu
Keyword(s):  
Resource Allocation ◽  
Power Control ◽  
Communication Systems ◽  
Channel Allocation ◽  
Matching Theory ◽  
Spectrum Efficiency ◽  
System Throughput ◽  
Convex Problem ◽  
Power Control Algorithm ◽  
Joint Channel

In mobile communication systems, device-to-device (D2D) communication and nonorthogonal multiple access (NOMA) are effective ways to improve spectrum efficiency and system throughput. In the NOMA-based D2D system, social relationship among D2D users is introduced to form D2D clusters, and NOMA is used for many-to-one communication in each D2D cluster. This paper proposes a joint channel allocation and power control algorithm which decomposes the resource allocation problem into two subproblems: channel allocation and power control. Matching theory is utilized to allocate channels for D2D clusters and sequential convex programming is applied to transform the optimization target to a convex problem before solving it via genetic algorithm. Simulation results indicate the superiority of our algorithm in improving the system throughput on the basis of meeting users’ needs for files.

scholarly journals Transmission Strategy Design and Resource Allocation in D2D Multicast Cooperative Communications with SWIPT

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Chenfan Weng ◽  
Dingcheng Yang ◽  
Jun Wan ◽  
Lin Xiao ◽  
Chuanqi Zhu
Keyword(s):  
Resource Allocation ◽  
Cooperative Communications ◽  
Communication Systems ◽  
Spectrum Efficiency ◽  
Second Step ◽  
Total System ◽  
Power Splitting ◽  
Transmission Strategy ◽  
Multiple Receivers ◽  
Strategy Design

This paper proposes a new transmission strategy for device-to-device (D2D) multicast cooperative communication systems based on Simultaneous Wireless Information and Power Transfer (SWIPT) technology. The transmission block is divided into two slots. In the first slot, the source user transmits the information and energy to the help user by SWIPT. In the second slot, the help user uses the cellular spectrum and forwards the information to multiple receivers by using harvested energy. In this paper, we aim to maximize the total system rate, and to tackle the problem, we propose a two-step scheme: In the first step, the resource allocation problem is solved by linear programming. In the second step, the power-splitting coefficient value is obtained by taking the benefit of help user into account. Numerical results show that the proposed strategy not only effectively improves the overall throughput and spectrum efficiency but also motivates the cooperation.

scholarly journals Power Control for Full-Duplex Device-to-Device Underlaid Cellular Networks: A Stackelberg Game Approach

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Zhen Yang ◽  
Titi Liu ◽  
Guobin Chen
Keyword(s):  
Resource Allocation ◽  
Power Control ◽  
Spectrum Sharing ◽  
Stackelberg Game ◽  
Full Duplex ◽  
System Throughput ◽  
Analysis Tool ◽  
Spectrum Utilization ◽  
Dual Decomposition ◽  
Device To Device

In spectrum sharing cognitive radio networks, unauthorized users (secondary users) are allowed to use the spectrum of authorized users (primary users) to improve spectrum utilization. Due to limited spectrum resources, how to formulate a reasonable spectrum allocation scheme is very important. As a mathematical analysis tool, game theory can solve the problem of resource allocation well. In recent years, it has been applied to the research of resource allocation in spectrum sharing networks by some literatures. In a cellular network consisting of multiple cellular users and full-duplex end-to-end communication users D2D (device-to-device), the self-interference caused by full-duplex communication and the interference caused by the D2D users to the cellular users will significantly reduce system throughput. In order to reduce the interference in the network, this paper introduces a power control algorithm based on Stackelberg game, which sets the cellular users and D2D users as the leaders and followers, respectively. The cellular users and the D2D users compete with each other to minimize the cost, and we propose new utility functions. We build an optimization problem under the outage probability constraint and power constraint and the transmission power of the users is obtained by using the Lagrangian dual decomposition method. The simulation results show that the proposed game algorithm improves network performance compared with other existing schemes.

Inteference Mitigation in Femtocellular Networks

2014 ◽  
Vol 3 (2) ◽  
pp. 113 ◽  
Author(s):  
Amevi Acakpovi ◽  
Dominique Kogue ◽  
Koudjo Mawuefam Koumadi ◽  
Ibrahim Tahirou
Keyword(s):  
Power Control ◽  
Control Algorithm ◽  
Network Capacity ◽  
System Throughput ◽  
Negative Effects ◽  
Coverage Area ◽  
Power Control Algorithm ◽  
Overall Performance ◽  
Adaptive Power ◽  
The Impact

<span lang="EN-US">Femtocells can significantly boost up wireless cellular network capacity by reducing communication distances to user equipment and also by reusing resources already utilized in the macrocell network on which they overlay. However, the deployment of femtocells within a macrocell coverage area, causes severe interference between the femtocell and the macrocell, which may have an impact on the overall performance of the femtocells. Avoiding such interference is very important for the effective co-existence </span><span lang="EN-US">of femtocells and macrocell. This paper proposes an algorithm to mitigate cross-tier interference between </span><span lang="EN-US">a femtocell and a macrocell using adaptive power control. The proposed approach is modeled and simulated using MATLAB. The impact on the performance of the </span><span lang="EN-US">femtocell using the proposed algorithm </span><span lang="EN-US">is analysed. Results show that the proposed adaptive power control algorithm has tremendously reduced the negative effects on the system throughput, delay and outage probability for voice and data traffics.</span>

scholarly journals A Power Control Algorithm Based on Chicken Game Theory in Multi-Hop Networks

Symmetry ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 718 ◽  
Author(s):  
Jinpeng Wang ◽  
Ye Zhengpeng ◽  
Jeremy Gillbanks ◽  
Tarun M. Sanders ◽  
Nianyu Zou
Keyword(s):  
Power Control ◽  
Communication Systems ◽  
High Speed ◽  
Negative Impact ◽  
Network Connectivity ◽  
Modern Society ◽  
Network Capacity ◽  
Core Networks ◽  
Chicken Game ◽  
Power Control Algorithm

With the development of modern society, there are not only many voice calls being made over wireless communication systems, but there is also a great deal of demand for data services. There are increasing demands from the general public for more information data, especially for high-speed services with elevated Gbps levels. As is well known, higher sending power is needed once data rates increase. In order to solve this problem, virtual cellular networks (VCNs) can be employed in order to reduce these peak power shifts. If a VCN works well, mobile ports will receive their own wireless signals via individual cells, and then, the signals will access core networks with the help of a central terminal. Power control can improve the power capacity in multi-hop networks. However, the use of power control will also have a negative impact on network connectivity, delay, and capacity. In order to address the problem, this paper compares specific control methods and capacities in multi-hop networks. Distributed chicken game algorithm power control (DCGAPC) methods are presented in order to reach acceptable minimum levels of network delay and maximum network capacity and connectivity. Finally, a computer simulation is implemented, and the results are shown.

scholarly journals MODIFICATION OF POWER CONTROL ALGORITHM ELECTRIC STATION

2020 ◽  
Vol 2020 (3) ◽  
pp. 90-98
Author(s):  
Adel' Kovalev ◽  
Yury Vasil'evich Kolotilov
Keyword(s):  
Power Control ◽  
Communication Systems ◽  
Control Algorithm ◽  
Power Plants ◽  
Measuring Transducer ◽  
Electrical Equipment ◽  
Current Strength ◽  
Power Control Algorithm ◽  
Electric Station ◽  
Proposed Modification

Currently, the bulk of the information necessary for the implementation of supervisory control and the controllability of electrical equipment comes from telemechanics systems. A prerequisite for the construction of new electric power facilities or for the reconstruction of old ones is the introduction of telemechanics systems. Telemechanics systems are actively developing and improving. Initially, all of them consisted of a controlled telemechanics center that monitors and controls the system, receiving and processing analog signals from analog measuring transducers via numerous direct cable communication lines. The main disadvantages of such an organization of telemechanical systems include a large amount of connecting cables, scaling difficulties and low metrological characteristics. With the advent of digital transmitters, it became possible to transmit signals from them in digital form, which reduced the number of connecting lines and simplified the scaling and fault tolerance of systems. Now with the help of one measuring transducer it is possible to measure several parameters at once. The main measured parameters of power plants include: current strength, phase voltages, AC frequency, active, reactive and apparent power. This article describes the organization of the telemechanics and communication systems of the Astrakhan TPP-2. The analysis of the existing station power control algorithm is given. A variant of its modification is proposed. An example of the implementation of the proposed modification of the algorithm is described.

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