用户感知能力:理论,计算和可实现的政策
Yuanrui Liu1, Xiaoyu Zhao2, Wei Chen1
1Department of Electronic Engineering, State Key Laboratory of Space Network and Communications, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.
Entropy (Basel, Switzerland)
|November 27, 2024
概括
本研究探讨了用户对无线网络的感知能力. 实现更高的用户感知吞吐量需要发射器和接收器通道状态信息,从而实现有效的功率和速率调整.
科学领域:
- 无线通信无线通信
- 移动多媒体服务
- 经验的质量经验的质量.
背景情况:
- 用户感知到的吞吐量是移动多媒体质量的关键指标.
- 它的性能限制和在无线道中的实现策略尚未完全理解.
研究的目的:
- 确定用户感知吞吐量 (用户感知容量) 的可实现上限.
- 研究在典型的无线通道中实现这种容量的方法.
主要方法:
- 用户感知容量的分析仅在接收器 (CSIR) 上使用通道状态信息.
- 调查与CSIR和在发射器 (CSIT) 的通道状态信息共同的功率和速率调整策略.
- 应用受约束的马尔科夫决策过程 (CMDP) 进行最佳的政策计算.
主要成果:
- 用户感知到的容量仅在CSIR的情况下就显著受到限制.
- 联合CSIR和CSIT可以通过功率或速率调整实现实质性改进.
- 根据时间,积压和道增益门确定了一个最佳的政策.
结论:
- 为了实现最佳的用户感知能力,需要通过CSIT实现联合功率率调整.
- 仅仅是功率调整就能产生相当于硬延迟受约束容量的容量,利用多样性和频道反转.
相关概念视频
Models, Theories, and Laws
5.2K
Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...
5.2K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
40
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
40
Levels of Use of a GIS
43
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
43
Maximum Power Flow and Line Loadability
95
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.
95
Design Consideration
181
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
The factor of safety is another key...
181
Probability Histograms
11.1K
A probability histogram is a visual representation of a probability distribution. Similar a typical histogram, the probability histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents. The vertical axis is labeled with probability. Each rectangular bar in the histogram is 1 unit wide, which suggests that the area under each bar equals the probability, P(x), where x is 1, 2, 3, and so on.
11.1K


