Efficient Algorithms for Cognitive Radio Networks

认知无线电网络的高效算法

• 批准号: RGPIN-2018-05523
• 负责人: AbdelRaheem, Esam
• 金额: $ 1.68万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=679228
• 关键词: Efficient; Algorithms; Cognitive; Radio; Networks

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.

认知无线电（CR）是一个无线电，具有在动态和不可预测的条件下实现最佳性能所需的智能意识和学习层。 CR可以通过其意识将其行为动态化为无线电环境和频谱政策。 CR技术最关键的组成部分之一是频谱传感（SS）。通过感知和适应环境，CR可以填充光谱孔并为二级用户提供服务而无需对主要用户的有害干扰。 SS技术可以分为两类：本地SS和协作SS（CSS）。有三种主要的本地技术是：匹配的滤波器检测技术，能量检测技术和环溶检测。 CSS大大减轻了由于破坏性无线电条件而导致的传感性能的恶化。软件定义的无线电（SDR）是使技术实现CRS的关键。 ******该提案认为CR网络（CRN）的改进算法。该提案将研究有效的盲目SS/CSS技术，这将导致感应时间减少，同时提高检测的可能性。将考虑高架妥协。该提案还将研究基于群集的SS（CBSS）方法，这些方法将在噪声不确定性，低信噪比（SNR）条件和多径褪色条件下保持高性能。将研究和分析的场景，其中一个以上的主要用户存在。使用自适应关节感应阈值和感应时间来提高本地SS的性能，并使用联盟游戏理论提高CRN中宽带CSS的能源效率。******车辆临时临时网络（VANET）正在上升，这是由于对彼此以及与彼此进行通信的不断增长的需求以及提供新的服务的需求而增加的，以确保新的服务安全和新的服务。该提案考虑了CR-Vanets的有效解决方案，这些解决方案将考虑感测光谱，在移动时形成簇。将研究快速褪色下的SS技术，以服务CR-Vanet。需要研究和开发保护CR-Vanet中主要用户（PU）的方法。将研究有效的培养基控制（MAC）方案，从而提高CR VANET中的传感性能。研究不断变化的移动性参数（高速，可变拓扑等）对感应性能和准确性的影响。 ***该建议旨在提供一个研究环境，毕业生和本科生参与计算机通信网络中最先进的主题，这些主题肯定会增强其潜力和知识。