在超密度毫米波网络中节能合作传输:多代理Q学习方法
1Department of Computer Convergence Software, Korea University, Sejong 30019, Republic of Korea.
Sensors (Basel, Switzerland)
|December 17, 2024
概括
本研究介绍了用于超密度毫米波网络 (UDmN) 的多代理Q学习功率控制方案. 拟议的方法通过优化基站合作来提高信号质量和网络能源效率.
科学领域:
- 无线通信网络是无线通信网络.
- 信号处理 信号处理
- 机器学习用于网络化.
背景情况:
- 毫米波 (mmWave) 技术为超越第五代网络提供高数据速率.
- 超密度毫米波网络 (UDmN) 面临着细胞间干扰的挑战,在细胞边界降低信号与干扰加噪比 (SINR).
- 合作传输技术,如协调多点 (CoMP) 与联合传输 (JT),可以提高数据速率,但增加能源消耗.
研究的目的:
- 应对在UDmN中实现高SINR和能源效率的挑战.
- 为UDmN的合作传输提出一种新的功率控制方案.
- 为了平衡服务质量 (QoS) 要求与网络能耗.
主要方法:
- 基于Q学习的多代理功率控制方案的开发.
- 定义一个奖励函数,将每个基站 (BS) 的中断概率和能源效率纳入其中.
- 利用通道状态信息来动态管理BS参与电源控制.
主要成果:
- 拟议的方案实现了最佳的传输功率.
- 与传统方法相比,网络能效显著提高 (没有功率控制,随机控制).
- 通过使用通道状态信息来验证增强的整体网络性能.
结论:
- 多代理Q学习功率控制方案有效地提高了UDmN中的SINR和能源效率.
- 配合智能电源管理的合作传输对于未来的无线网络至关重要.
- 频道状态信息在优化合作通信性能方面发挥着至关重要的作用.
相关概念视频
Ampere-Maxwell's Law: Problem-Solving
538
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
538
Distributed Loads: Problem Solving
623
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
623
Maximum Power Transfer
225
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
By substituting the entire circuit with...
225
Maximum Power Flow and Line Loadability
94
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
94
Ampere's Law: Problem-Solving
3.5K
Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
Specific steps need to be considered while calculating the symmetric magnetic field distribution...
Specific steps need to be considered while calculating the symmetric magnetic field distribution...
3.5K
Maxwell-Boltzmann Distribution: Problem Solving
1.4K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.4K


