Collaborative Research: Opportunistic Scheduling for Multimedia Wireless Systems

协作研究：多媒体无线系统的机会调度

• 批准号: 0207892
• 负责人: Edwin Chong
• 金额: $ 20万
• 依托单位: Colorado State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-01 至 2006-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0207892&HistoricalAwards=false
• 关键词: Collaborative; Research; Opportunistic; Scheduling; Multimedia

This collaborative project focuses on network-level solutions for exploiting the time-varying nature of the wireless environment to increase the overall performance of the system taking into account quality of service (QoS) and fairness for Multimedia Wireless Systems. The proposed algorithms are classified "opportunistic" since they consider channel conditions (and related definitions of per-user utility). The following research activities will be particularly pursued: opportunistic scheduling with and without explicit delay requirements as well as opportunistic scheduling in the frequency domain. The objective related to opportunistic scheduling without explicit delay requirements is to develop scheduling algorithms that exploit the time-varying nature of the wireless channel to optimize network performance under different fairness requirements. In particular, the channel estimation problem will be explored for which fast methodologies to effectively track the system parameters through stochastic approximation types of techniques will be developed. For opportunistic scheduling with explicit delay requirements, the goal will be to develop scheduling mechanisms for real-time applications such as voice and video where the objective is not only to schedule users based on their channel conditions and fairness constraints, but also based on their deadlines. In particular, the problems of opportunistic scheduling without individual QoS constraints and problems of opportunistic scheduling with individual QoS requirements will be studied. For that purpose, the off-line optimal scheduling solutions that provide benchmarks in evaluating other schemes will be developed. On the other hand, the on-line algorithms that take into account network traffic statistics will be developed and proven on practicability. Finally, the activities related to opportunistic scheduling in the frequency domain will consider taking advantage of both time-domain and frequency-domain diversity in wireless systems. In particular, the problems will be explored where the objective will be to maximize the system performance where power could be an explicit constraint or a penalty function. Other types of problems that will be explored here will deal with minimizing the transmitted power subject to performance constraints.

该合作项目重点关注网络级解决方案，利用无线环境的时变特性来提高系统的整体性能，同时考虑多媒体无线系统的服务质量 (QoS) 和公平性。所提出的算法被归类为“机会主义”，因为它们考虑了信道条件（以及每用户效用的相关定义）。将特别开展以下研究活动：具有和不具有明确延迟要求的机会调度以及频域中的机会调度。与没有明确延迟要求的机会调度相关的目标是开发利用无线信道的时变特性来优化不同公平性要求下的网络性能的调度算法。特别是，将探讨信道估计问题，为此将开发通过随机近似类型的技术有效跟踪系统参数的快速方法。对于具有明确延迟要求的机会调度，目标是为语音和视频等实时应用开发调度机制，其目标不仅是根据用户的信道条件和公平性约束来调度用户，而且还根据他们的截止日期来调度用户。特别是，将研究没有单独QoS约束的机会调度问题和有单独QoS要求的机会调度问题。为此，将开发离线最优调度解决方案，为评估其他方案提供基准。另一方面，将开发考虑网络流量统计的在线算法并验证其实用性。最后，与频域机会调度相关的活动将考虑利用无线系统中的时域和频域分集。特别是，将探讨目标是最大化系统性能的问题，其中功率可以是显式约束或惩罚函数。这里将探讨的其他类型的问题将涉及在性能限制下最小化传输功率。