NeTS-WN: Collaborative Research: Channel-Aware Distributed Scheduling for Optimal Throughput and Latency: A Unified PHY/MAC Approach

NeTS-WN:协作研究:通道感知分布式调度以实现最佳吞吐量和延迟:统一 PHY/MAC 方法

基本信息

  • 批准号:
    0721820
  • 负责人:
  • 金额:
    $ 20万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-09-01 至 2011-08-31
  • 项目状态:
    已结题

项目摘要

The design of wireless ad-hoc networks faces a number of unique challenges in wireless communications including 1) co-channel interference among active links in a neighborhood, and 2) time-varying channel conditions over fading channels. Experimental data reveals that, in many realistic scenarios, fading effects can often adversely affect the MAC layer, and the coupling between the timescales of fading and MAC calls for a unified PHY/MAC design. Due to the distributed nature of ad hoc communications, little work has been done to develop channel-aware, distributed scheduling for throughput maximization. There are virtually no systematic studies on channel-aware scheduling for real-time traffic under latency constraints. A principal goal of this project is to fill this void and build a theoretic foundation for channel-aware, distributed scheduling in wireless ad-hoc networks, for both elastic traffic and inelastic traffic. With the goal of developing a framework for unified PHY/MAC optimization, the proposed research consists of three thrusts. The first two thrusts investigate distributed opportunistic scheduling for elastic traffic and focus on throughput maximization from network-centric and user-centric perspectives, respectively. The third thrust focuses on channel-aware scheduling for network models under explicit delay constraints, for real-time traffic. The proposed research draws on a combination of fundamental tools in scheduling, stochastic optimization, game theory, and control theory. This project will open a new avenue for exploring channel-aware distributed scheduling for ad-hoc communications.The PIs expect that the proposed work will culminate in the formulation of both new fundamental theories and advanced design methodologies for wireless ad hoc networks, and will have a significant impact on many wireless applications including wireless LANs and wireless mesh networks. In addition to the technical impacts, the broader impacts of the proposed research also include educational elements.
无线自组织网络的设计面临着无线通信中的许多独特挑战,包括 1) 邻近活动链路之间的同信道干扰,以及 2) 衰落信道上的时变信道条件。实验数据表明,在许多实际场景中,衰落效应通常会对 MAC 层产生不利影响,衰落时间尺度和 MAC 之间的耦合需要统一的 PHY/MAC 设计。由于自组织通信的分布式特性,很少有工作来开发通道感知的分布式调度以实现吞吐量最大化。实际上还没有关于延迟约束下实时流量的通道感知调度的系统研究。该项目的主要目标是填补这一空白,并为无线自组织网络中弹性流量和非弹性流量的信道感知、分布式调度奠定理论基础。为了开发统一 PHY/MAC 优化框架的目标,拟议的研究包括三个重点。前两个主旨研究弹性流量的分布式机会调度,并分别从以网络为中心和以用户为中心的角度关注吞吐量最大化。第三个重点是在显式延迟约束下针对实时流量的网络模型的通道感知调度。所提出的研究结合了调度、随机优化、博弈论和控制理论等基本工具。该项目将为探索自组织通信的信道感知分布式调度开辟一条新途径。PI 预计,拟议的工作将最终形成无线自组织网络的新基础理论和先进设计方法,并将对许多无线应用(包括无线 LAN 和无线网状网络)产生重大影响。除了技术影响之外,拟议研究的更广泛影响还包括教育因素。

项目成果

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会议论文数量(0)
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Junshan Zhang其他文献

CL-LSG: Continual Learning via Learnable Sparse Growth
CL-LSG:通过可学习的稀疏增长持续学习
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Li Yang;Sen Lin;Junshan Zhang;Deliang Fan
  • 通讯作者:
    Deliang Fan
A two-phase utility maximization framework for wireless medium access control
无线媒体访问控制的两阶段效用最大化框架
Networked Information Gathering in Stochastic Sensor Networks: Compressive Sensing, Adaptive Network Coding and Robustness
  • DOI:
    10.21236/ada590144
  • 发表时间:
    2013-09
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Junshan Zhang
  • 通讯作者:
    Junshan Zhang
Distributed opportunistic scheduling for ad-hoc communications: an optimal stopping approach
用于临时通信的分布式机会调度:最佳停止方法
  • DOI:
    10.1145/1288107.1288109
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    D. Zheng;Weiyan Ge;Junshan Zhang
  • 通讯作者:
    Junshan Zhang

Junshan Zhang的其他文献

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{{ truncateString('Junshan Zhang', 18)}}的其他基金

CCSS: Collaborative Research: Quality-Aware Distributed Computation for Wireless Federated Learning: Channel-Aware User Selection, Mini-Batch Size Adaptation, and Scheduling
CCSS:协作研究:无线联邦学习的质量感知分布式计算:通道感知用户选择、小批量大小自适应和调度
  • 批准号:
    2203238
  • 财政年份:
    2021
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: MLWiNS: Distributed Learning over Multi-Access Channels: From Bandlimited Coordinate Descent to Gradient Sketching
协作研究:MLWiNS:多访问通道上的分布式学习:从带限坐标下降到梯度草图
  • 批准号:
    2203412
  • 财政年份:
    2021
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
NSF-AoF: CNS Core: Small: Reinforcement Learning for Real-time Wireless Scheduling and Edge Caching: Theory and Algorithm Design
NSF-AoF:CNS 核心:小型:实时无线调度和边缘缓存的强化学习:理论和算法设计
  • 批准号:
    2130125
  • 财政年份:
    2021
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
CPS: Medium: Collaborative Research: Demand Response & Workload Management for Data Centers with Increased Renewable Penetration
CPS:媒介:协作研究:需求响应
  • 批准号:
    2202126
  • 财政年份:
    2021
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
NSF-AoF: CNS Core: Small: Reinforcement Learning for Real-time Wireless Scheduling and Edge Caching: Theory and Algorithm Design
NSF-AoF:CNS 核心:小型:实时无线调度和边缘缓存的强化学习:理论和算法设计
  • 批准号:
    2203239
  • 财政年份:
    2021
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
CCSS: Collaborative Research: Quality-Aware Distributed Computation for Wireless Federated Learning: Channel-Aware User Selection, Mini-Batch Size Adaptation, and Scheduling
CCSS:协作研究:无线联邦学习的质量感知分布式计算:通道感知用户选择、小批量大小自适应和调度
  • 批准号:
    2121222
  • 财政年份:
    2021
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
Collaborative Research: MLWiNS: Distributed Learning over Multi-Access Channels: From Bandlimited Coordinate Descent to Gradient Sketching
协作研究:MLWiNS:多访问通道上的分布式学习:从带限坐标下降到梯度草图
  • 批准号:
    2003081
  • 财政年份:
    2020
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
CPS: Medium: Collaborative Research: Demand Response & Workload Management for Data Centers with Increased Renewable Penetration
CPS:媒介:协作研究:需求响应
  • 批准号:
    1739344
  • 财政年份:
    2017
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
TWC SBE: Small: Towards an Economic Foundation of Privacy-Preserving Data Analytics: Incentive Mechanisms and Fundamental Limits
TWC SBE:小型:迈向隐私保护数据分析的经济基础:激励机制和基本限制
  • 批准号:
    1618768
  • 财政年份:
    2016
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
EARS: Joint Optimization of RF Design and Smartphone Sensing: From Adaptive Sniffing to WAZE-Inspired Spectrum Sharing
EARS:射频设计和智能手机传感的联合优化:从自适应嗅探到受 WAZE 启发的频谱共享
  • 批准号:
    1547294
  • 财政年份:
    2015
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant

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相似海外基金

NeTS-WN: Collaborative Research: Toward High-Performance Mesh Networks
NeTS-WN:协作研究:迈向高性能网状网络
  • 批准号:
    1063177
  • 财政年份:
    2010
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
NeTS-WN: Collaborative Research: Toward High-Performance Mesh Networks
NeTS-WN:协作研究:迈向高性能网状网络
  • 批准号:
    0721361
  • 财政年份:
    2007
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
NeTS-WN: Collaborative Research: Supporting Multi-mode Terminals in Integrated Heterogeneous Wireless Netowrks
NeTS-WN:协作研究:支持集成异构无线网络中的多模终端
  • 批准号:
    0721264
  • 财政年份:
    2007
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
NeTS-WN: Collaborative Research: Toward High-Performance Mesh Networks
NeTS-WN:协作研究:迈向高性能网状网络
  • 批准号:
    0721313
  • 财政年份:
    2007
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
NeTS-WN: Collaborative Research: Cognition, Collaboration, and Competition in Hybrid Wireless Networks
NeTS-WN:协作研究:混合无线网络中的认知、协作和竞争
  • 批准号:
    0721445
  • 财政年份:
    2007
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
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