Two enhanced schemes for coordinated spatial reuse in IEEE 802.11be: Adaptive and distributed approaches

IF 4.6 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Computer Networks Pub Date : 2025-02-01 Epub Date: 2025-01-16 DOI:10.1016/j.comnet.2025.111060
Deqing Zhu , Lidong Wang , Genmei Pan , Shenji Luan
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Abstract

Coordinated spatial reuse (CSR) is a novel mechanism that has attracted significant discussion in the upcoming Wi-Fi standard. Once a sharing access point (AP) acquires a transmission opportunity (TXOP), it informs a neighboring AP, designated as a shared AP, of the maximum tolerable interference level. The shared AP then calculates its maximum transmit power accordingly, thereby reducing interference and ensuring successful parallel transmissions. However, the CSR has three drawbacks. Firstly, it lacks explicit criteria for selecting multiple shared APs, disregarding the cumulative interference that arises from multiple shared APs. Secondly, excessive signaling occurs due to the periodic update and exchange of received signal strength indicator (RSSI) information among all the APs. Thirdly, the area throughput may suffer due to the low signal to interference plus noise ratio (SINR) experienced by shared APs, as only the shared AP constrains transmit power while the sharing AP transmits at its maximum.
To address these drawbacks, we propose two enhanced schemes for CSR. The first is adaptive CSR (ACSR), which can easily assess whether a neighboring AP should participate in CSR and adaptively determine the desired number of shared APs. The final transmit powers determined for shared APs in ACSR ensure that both the sharing AP and the shared APs meet the SINR requirements, thereby enhancing the performance of CSR. Furthermore, we propose a distributed CSR (DCSR) scheme, which formulates area throughput as a convex optimization problem. In DCSR, each AP independently and concurrently solves its own local optimization problems, drastically reducing the signaling overhead for RSSI update and exchange while obtaining optimal transmit powers for all involved APs. The DCSR scheme can adaptively determine the optimal number of shared APs. The proposed DCSR effectively overcomes all the drawbacks of the original CSR.
Analysis results show that the ACSR and DCSR outperform the CSR, achieving 1.45 and 2.57 times higher area throughput, respectively, and increasing the number of successful parallel transmissions (NSPT) by 1.45 and 2.8 times, respectively.
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IEEE 802.11be中协调空间重用的两种增强方案:自适应和分布式方法
协调空间复用(CSR)是一种新机制,在即将到来的Wi-Fi标准中引起了广泛的讨论。一旦共享接入点(AP)获得传输机会(TXOP),它就会通知指定为共享AP的相邻AP的最大可容忍干扰级别。共享AP据此计算其最大发射功率,从而减少干扰,确保并行传输成功。然而,企业社会责任有三个缺点。首先,它缺乏选择多个共享ap的明确标准,忽略了多个共享ap产生的累积干扰。其次,由于所有ap之间定期更新和交换接收到的RSSI (signal strength indicator)信息,会产生过多的信令。第三,由于共享AP的信噪比(SINR)较低,只有共享AP限制发射功率,而共享AP传输功率最大,可能会影响区域吞吐量。为了解决这些缺点,我们提出了两种增强的企业社会责任方案。第一种是自适应CSR (ACSR),它可以很容易地评估邻居AP是否应该参与CSR,并自适应地确定所需的共享AP数量。ACSR中为共享AP确定的最终发送功率确保共享AP和共享AP都满足SINR要求,从而提高CSR的性能。此外,我们提出了一个分布式CSR (DCSR)方案,该方案将区域吞吐量表述为一个凸优化问题。在DCSR中,每个AP独立并发地解决自己的局部优化问题,大大减少了RSSI更新和交换的信令开销,同时使所有相关AP获得最优的发送功率。DCSR方案可以自适应地确定共享ap的最优数量。提出的DCSR有效地克服了原有CSR的所有缺点。分析结果表明,ACSR和DCSR优于CSR,分别实现了1.45和2.57倍的区域吞吐量,增加了1.45和2.8倍的成功并行传输(NSPT)。
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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来源期刊
Computer Networks
Computer Networks 工程技术-电信学
CiteScore
10.80
自引率
3.60%
发文量
434
审稿时长
8.6 months
期刊介绍: Computer Networks is an international, archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in the computer communications networking area. The audience includes researchers, managers and operators of networks as well as designers and implementors. The Editorial Board will consider any material for publication that is of interest to those groups.
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