PROFEE：基于概率反馈的 IEEE 802.11bc 速率自适应算法

IF 2.8 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Future Internet Pub Date : 2023-12-09 DOI:10.3390/fi15120396

Javier Gómez, J. Camacho-Escoto, Luis Orozco-Barbosa, Diego Rodriguez-Torres

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引用次数: 0

摘要

WiFi 是一种广泛应用的数据传输无线技术。在教室、剧院和体育馆等场所的多媒体传输中，WiFi 在向多台设备同时广播内容方面也能发挥重要作用。广播可以向连接到网络的所有设备有效地传播信息，因此确保 WiFi 网络有足够的容量来传输广播多媒体内容而不会出现中断或延迟就变得至关重要。不过，使用 WiFi 进行广播也会带来一些影响用户体验的挑战，特别是由于反馈信息可能会发生碰撞，因此很难从成百上千的用户那里获得实时反馈。这项工作的重点是向接入点提供有关未正确接收广播流量的用户比例的准确反馈，以便接入点在向众多用户传输广播多媒体内容时调整其调制和编码方案（MCS）。建议的方法由两个连续算法组成。为了降低发送每条信息后发生碰撞的概率，一种算法会根据信息是否被正确接收，为用户搜索发送 ACK/NACK 信息的最佳概率值。通过这种反馈，接入点可以估算出正确/不正确接收所传输信息的 STA 数量。第二种算法利用这种估计，使接入点可以选择最佳的 MCS，同时将未正确接收广播内容的用户比例保持在可接受的范围内，从而为用户提供最佳的内容质量。我们在 ns-3 模拟器中实施了所提出的方法，结果表明它能向接入点提供快速、可靠的反馈，无论用户密度和场景尺寸如何，接入点都能在几秒钟内调整到最佳 MCS。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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PROFEE: A Probabilistic-Feedback Based Speed Rate Adaption for IEEE 802.11bc

WiFi is a widely used wireless technology for data transmission. WiFi can also play a crucial role in simultaneously broadcasting content to multiple devices in multimedia transmission for venues such as classrooms, theaters, and stadiums, etc. Broadcasting allows for the efficient dissemination of information to all devices connected to the network, and it becomes crucial to ensure that the WiFi network has sufficient capacity to transmit broadcast multimedia content without interruptions or delays. However, using WiFi for broadcasting presents challenges that can impact user experience, specifically the difficulty of obtaining real-time feedback from potentially hundreds or thousands of users due to potential collisions of feedback messages. This work focuses on providing accurate feedback to the Access Point about the percentage of users not receiving broadcast traffic correctly so it can adjust its Modulation and Coding Scheme (MCS) while transmitting broadcast multimedia content to many users. The proposed method is comprised of two sequential algorithms. In order to reduce the probability of a collision after transmitting each message, an algorithm searches for the best probability value for users to transmit ACK/NACK messages, depending on whether messages are received correctly or not. This feedback allows the Access Point to estimate the number of STAs correctly/incorrectly receiving the messages being transmitted. A second algorithm uses this estimation so the Access Point can select the best MCS while maintaining the percentage of users not receiving broadcast content correctly within acceptable margins, thus providing users with the best possible content quality. We implemented the proposed method in the ns-3 simulator, and the results show it yields quick, reliable feedback to the Access Point that was then able to adjust to the best possible MCS in only a few seconds, regardless of the user density and dimensions of the scenario.

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来源期刊

Future Internet Computer Science-Computer Networks and Communications

CiteScore

7.10

自引率

5.90%

发文量

303

审稿时长

11 weeks

期刊介绍： Future Internet is a scholarly open access journal which provides an advanced forum for science and research concerned with evolution of Internet technologies and related smart systems for “Net-Living” development. The general reference subject is therefore the evolution towards the future internet ecosystem, which is feeding a continuous, intensive, artificial transformation of the lived environment, for a widespread and significant improvement of well-being in all spheres of human life (private, public, professional). Included topics are: • advanced communications network infrastructures • evolution of internet basic services • internet of things • netted peripheral sensors • industrial internet • centralized and distributed data centers • embedded computing • cloud computing • software defined network functions and network virtualization • cloud-let and fog-computing • big data, open data and analytical tools • cyber-physical systems • network and distributed operating systems • web services • semantic structures and related software tools • artificial and augmented intelligence • augmented reality • system interoperability and flexible service composition • smart mission-critical system architectures • smart terminals and applications • pro-sumer tools for application design and development • cyber security compliance • privacy compliance • reliability compliance • dependability compliance • accountability compliance • trust compliance • technical quality of basic services.