Efficient Algorithms for Cognitive Radio Networks

认知无线电（CR）是一种具有智能感知和学习层的无线电，可以在动态和不可预测的条件下实现最佳性能。CR可以通过其感知动态地调整其行为，以适应无线电环境和频谱策略。频谱感知（SS）是CR技术最关键的组成部分之一。通过对环境的感知和适应，可以填补频谱空洞，在不干扰主用户的情况下为二次用户服务。SS技术可以分为两类：本地SS和协作SS （CSS）。局部检测技术主要有三种：匹配滤波检测技术、能量检测技术和环静止检测技术。CSS显著缓解了由于破坏性无线电条件导致的传感性能恶化。软件定义无线电（SDR）是实现无线电通信的关键使能技术。该提案考虑了CR网络（crn）的改进算法。该提案将研究有效的盲SS/CSS技术，以减少感知时间，同时提高检测概率；开销折衷将被考虑。该提案还将研究crn的基于簇的SS （CBSS）方法，该方法将在噪声不确定性、低信噪比（SNR）条件和多径衰落条件下保持高性能。将调查和分析存在多个主用户的场景。利用自适应联合感知阈值和感知时间增强局域SS的性能，并利用联合博弈论提高crn中宽带CSS的能量效率。车辆自组织网络（VANET）正在兴起，因为车辆之间以及与基础设施通信的需求不断增加，以确保道路安全和引入新服务。该提案考虑了cr - vanet的有效解决方案，该方案将考虑在移动中感知频谱，形成集群。研究了快速衰落下的SS技术，以服务于CR-VANET。保护CR-VANET主用户（PU）的方法有待研究和发展。本文将研究有效的介质访问控制（MAC）方案，以提高CR VANET的传感性能。研究变化的迁移参数（高速，多变的拓扑等）对传感性能和精度的影响。本提案旨在提供一个研究环境，让研究生和本科生参与计算机通信网络的最新主题，这肯定会提高他们的潜力和知识。

Cognitive radio (CR) is a radio with an intelligent layer of awareness and learning necessary to achieve optimal performance under dynamic and unpredictable conditions. CR can dynamically adapt its behavior, through its awareness, to the radio environment and spectrum policy. One of the most critical components of CR technology is spectrum sensing (SS). By sensing and adapting to the environment, a CR is able to fill in spectrum holes and serve secondary users without harmful interference to the primary users. SS techniques can be categorized into two categories: local SS, and collaborative SS (CSS). There are three main local techniques which are: matched filter detection technique, energy detection technique, and cyclostatinary detection. CSS significantly alleviates the deterioration of sensing performance due to destructive radio conditions. Software-defined radio (SDR) is a key enabling technology to realize CRs. The proposal considers improved algorithms for CR Networks (CRNs). The proposal will investigate efficient blind SS/CSS techniques that would lead to decrease sensing time while improving the probability of detection; overhead compromise will be considered. The proposal will also investigate cluster-based SS (CBSS) approaches for CRNs that would maintain high performance under noise uncertainty, low signal-to-noise-ratio (SNR) conditions, and multipath fading conditions. Scenarios, where more than one primary user exists, will be investigated and analyzed. Performance enhancement of local SS using adaptive joint sensing threshold and sensing time will be investigated as well as enhancing energy efficiency for wideband CSS in CRNs using coalitional game theory.Vehicular ad hoc network (VANET) is on the rise due to increasing demands for vehicles to communicate with each other and with the infrastructure to ensure road safety and to introduce new services. The proposal considers efficient solutions for CR-VANETs that would consider sensing the spectrum, forming clusters while on the move. SS techniques under fast fading will be investigated to serve CR-VANET. Methods to protect the primary user (PU) in CR-VANET need to be investigated and developed. Efficient medium access control (MAC) schemes that would lead to enhance the sensing performance in CR VANET will be investigated. Investigating the impact of changing mobility parameters (high speed, changeable topology, etc.) on sensing performance and accuracy will be investigated. This proposal aims to provide a research environment where graduate and undergraduate students get involved in state-of-the-art topics in computer-communication networks that definitely will enhance their potential and knowledge.