Signal Processing for Random Access: A Cross Layer Approach

摘要：本研究旨在为两种新兴的无线应用开发新颖的随机接入技术：用于热点访问的高数据速率无线局域网和大规模低功耗传感器网络中的信息提取。对于这两种应用，传统的介质访问控制假设简单的信道模型是主要的性能瓶颈之一。研究人员通过利用物理层信号处理和介质访问控制子层之间的紧密交互来探索新的跨层设计策略。这项研究有两个主要主题。第一个涉及开发利用物理层的多包接收能力并提供实现随机访问的容量的最佳介质访问策略。信号处理技术的发展是为了最大限度地提高用户的稳定吞吐量。基于最优随机接入协议的容量和稳定域特征，设计了速率分配、服务请求质量和定价结构。第二个主题侧重于大规模传感器网络的低功耗和节能随机接入。跨层设计方法采用在物理层利用通道状态信息的形式。针对传感器后伸问题，研究了分布式、低复杂度、可扩展的随机访问协议。在传感器节点和移动接入点开发了新的信号处理技术，用于节能介质接入。

Abstract0311055Tong, LangCornell University - EndowThis research aims to develop novel random access techniques for two emerging wireless applications: high data-rate wireless LAN for hot-spot access and information extraction in large-scale and low-power sensornetworks. For both applications, conventional medium access control that assumes simplistic channel model is one of the major performance bottlenecksThe investigators explore new cross-layer design strategies by exploiting tight interactions between signal processing at the physical layer and the medium access control sublayer. The research has two major themes. The first involves developing optimal medium access strategies that capitalize the multi-packet reception capabilities of the physical layer and provide capacity achieving random access. Signal processing techniques are developed to maximize the stable throughput of users. Rate allocations, quality of service requests, and pricing structures are designed based on the characterization of the capacity and stability region of optimal random access protocols. The second theme focuses on low power and energyefficient random access for large-scale sensor networks. The cross-layer design approaches take the form of utilizing channel state information at the physical layer. Distributed, scalable random access protocols withlow complexity are investigated for th e sensor reach-back problem. Novel signal processing techniques at the sensor node and the mobile access point are developed for energy efficient medium access.