随机分布CDMA跨层建模的随机网络演算
Cross-Layer Modeling of Randomly Spread CDMA Using Stochastic Network Calculus
摘要：
码分多址（CDMA）具有支持具有宽范围的服务质量（QoS）要求的业务源的潜力。然而，在QoS约束（如延迟保证）下CDMA信道的业务承载能力还不太清楚。在这项工作中，我们提出了一种基于随机网络微积分和大系统分析的方法来量化的最大流量，可以通过一个多用户CDMA网络的QoS约束下进行。在物理层，我们有线性最小均方误差接收机和自适应调制和编码，而信道服务过程是用有限状态马尔可夫链建模。研究了不同信号强度下，时延要求、违规概率和用户负载对业务承载能力的影响。数值结果提供的一个关键见解是，在不同的延迟要求下，人们必须从容量中后退多少。
英文摘要：
Code-division multiple-access (CDMA) has the potential to support traffic sources with a wide range of quality of service (QoS) requirements. The traffic carrying capacity of CDMA channels under QoS constraints (such as delay guarantee) is, however, less well-understood. In this work, we propose a method based on stochastic network calculus and large system analysis to quantify the maximum traffic that can be carried by a multiuser CDMA network under the QoS constraints. At the physical layer, we have linear minimum-mean square error receivers and adaptive modulation and coding, while the channel service process is modeled by using a finite-state Markov chain. We study the impact of delay requirements, violation probability and the user load on the traffic carrying capacity under different signal strengths. A key insight provided by the numerical results is as to how much one has to back-off from capacity under the different delay requirements.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
