Capacity and Protocols for Integrated Voice/Data CDMA Systems

本项目的目的是开发一个分析框架，以便对综合语音/数据码分多址系统中语音和数据的相互作用有新的理解。从这项研究中获得的见解将进一步用于开发新的算法。在这样的多媒体无线系统中，将分析数据的可变性及其对语音服务的容量和性能的影响。新的易于实施的实时呼叫准入策略和呼叫建立后的控制将用于优先考虑对延迟敏感的语音的数据服务。分析框架和方法中将包括不同服务类别可能需要的不同服务质量(Qos)的影响。此外，协议层之间的相互作用将包括在数据访问控制方案的研究和设计中。具体地说，我们将分析端到端协议(如传输控制协议)与无线链路上的数据访问控制方案的相互作用。分析方法：分析这些问题遇到了两个严重的困难。即使所有信息(例如，相关随机变量的分布)都是可用的，精确的分析似乎超出了当前的理论范围，从而导致了易于计算的解决方案。其次，所需的分发版本通常不可用。相反，我们开发了简单、相当准确的分析方法，这种方法在适当的时候只使用均值和方差，在必要的时候只使用分布假设。数据控制策略：认识到语音对延迟敏感，我们制定了数据访问控制策略。一种类型的实时控制基于与语音质量相关的容易测量的量，并使用向数据用户广播的许可概率。该提案将调查与数据控制算法优化相关的各种问题。我们将为传统和多用户接收机开发和分析这样的控制策略。协议层之间的交互：如果协议层是独立设计的，但最终以意外的交互结束，则可能会出现严重问题。我们在运行在TCP下的数据访问控制策略的上下文中解决这一问题。我们研究了这种相互作用引起的问题，并根据这些相互作用进行了适当的修改。本项目的意义：本项目将提供对语音/数据集成的复杂问题的更全面的理解。这将包括开发便于使用并与预期可获得的有限信息保持一致的分析方法。将为传统和多用户接收器开发新的有效实时算法。此外，对数据链路重传方案和更高层可靠性协议(如TCP)之间的相互作用的研究将为不同业务的最佳共存的系统设计提供有价值的见解。因此，这项工作将更好地理解具有不同业务特征和不同服务质量要求的服务类型之间以及不同协议层之间的复杂交互。这将导致改进数据实时算法的设计。

The aim of this project is to develop an analytical framework that provides new understanding of the interaction of voice and data in an integrated voice/data CDMA system. The insights obtained from this study will be further used to develop new algorithms. The effect of the variability of data and its impact on the capacity and performance of the voice service in such a multimedia wireless system will be analyzed. New easily implemented real-time strategies for call admission, and control after call setup will be derived for the data service with delay sensitive voice being given priority. The effect of variable quality of service (QoS) the different classes of service may require will be included in the analysis framework and methodology. Further, the interaction between protocol layers will be included in the study and design of access control schemes for data. Specifically, we will analyze the interactions of end-to-end protocols like TCP (Transmission Control Protocol) with data access control schemes on the radio link. Analytical Methodology: Analysis of these problems encounters two serious difficulties. Even if all the information (e.g., distributions of relevant random variables) was available, exact analysis appears to be beyond current theory leading to computationally tractable solutions. Secondly, the needed distributions are often not available. We develop instead simple, reasonably accurate, analytic methodology which uses only means and variances, when appropriate, and distributional assumptions when necessary. Data Control Strategies: Recognizing that voice is delay sensitive, we develop data access control strategies. One type of real-time control is based on readily measurable quantities related to voice quality and uses broadcasted permission probabilities to the data users. The proposal will investigate the varied questions associated with the optimization of the data control algorithms. We will develop and analyze such control strategies for both conve ntional and multiuser receivers. Interaction between Protocol Layers : Serious problems can arise when protocol layers are designed independently but end up with unexpected interactions. We address this in the context of a data access control strategy operating under TCP. We investigate the problems due to such interactions and appropriate modifications in the light of the interactions. Significance of this Project: This project will provide a more complete understanding of the complex issues of voice/data integration. This will include development of analytical methodology which is convenient to use and consistent with the limited information expected to be available. New effective real-time algorithms will be developed for both conventional and multiuser receivers. Further, the study of the interactions between data link retransmission schemes and higher layer reliability protocols (like TCP) should provide valuable insights into system design for optimum coexistence of diverse traffic. The work will thus provide a better understanding of the complex interactions both between service types with different traffic characteristics and different QoS requirements, and between different protocol layers. This will lead to improved design of real-time algorithms for data.