NeTS: Small: Social Tie Aware Spectrum Sharing: Physical-Social Game and Cloud-Based Cooperative Sensing

NetS：小型：社交关系感知频谱共享：物理社交游戏和基于云的协作感知

• 批准号: 1422277
• 负责人: Junshan Zhang
• 金额: $ 44.35万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1422277&HistoricalAwards=false
• 关键词: NeTS; Small; Social; Tie; Aware

To meet the rapidly growing demand of wireless applications, there is an urgent need to develop innovative spectrum sharing techniques that enable cognitive radio devices to dynamically sense the communication environment and adapt their transmission schemes. One key observation is that wireless devices are carried by human beings and people typically behave with rationality in social interactions. Indeed, social trust is built upon human relationship, and altruistic behaviors are often observed in many human activities. With this insight, in this project a cognitive radio network is viewed as an overlay/underlay system where a "virtual social network" (i.e., the social tie structure among users) overlays the physical communication network. Then, the social tie structure is leveraged to facilitate cooperative sensing and spectrum sharing, and such cooperation has potential to achieve substantial gains in spectral efficiency. This project serves as an excellent example for exploring innovative research on the interplay among engineering, social sciences, and economics for improving spectrum efficiency. The findings on exploiting social tie structure for spectrum sharing contribute to advancing the state-of-the-art of cognitive radio network design, and have great potential to open a new avenue for enhancing spectrum sharing and hence benefit the society at large.With an innovative agenda, this project focuses on developing social tie aware spectrum sharing mechanisms, while taking into account both physical coupling and social coupling among cognitive radio users. Specially, under this common theme, this project is organized into two well coordinated thrusts: 1) Thrust I focuses on database assisted spectrum access when primary user activities change relatively slowly; and social-aware channel allocation among secondary users is cast in a manner in which each user carries out channel selection to maximize its social group utility, defined as the weighted sum of its own utility and the utilities of other users having social ties with it. Then, social group utility maximization (SGUM) for the physical-social game is investigated and distributed algorithms are devised to achieve social tie aware Nash equilibrium. 2) Thrust II is centered around devising a social-aware spectrum sensing framework when primary user activities change fast, in which a cloud-based platform is employed to incentivize secondary users to participate in sensing tasks by leveraging social trust among them. Intuitively, by leveraging the wisdom of crowds, cooperative sensing enables secondary users to overcome the challenges due to incomplete information and limited capability of individual users, leading to more accurate detection of spectrum opportunities. Besides extensive simulation studies, the devised techniques will be evaluated in a realistic wireless network testbed. Overall, this project aims to develop a social group utility maximization framework to capture complex social structure among mobile users, consisting of diverse positive social ties (e.g., between friends and allies) and negative social ties (due to malicious behavior).

为了满足快速增长的无线应用需求，迫切需要开发创新的频谱共享技术，使认知无线电设备能够动态感知通信环境并调整其传输方案。一个关键的观察是，无线设备是由人类携带的，人们在社交互动中的行为通常是理性的。事实上，社会信任是建立在人际关系之上的，利他主义行为经常出现在许多人类活动中。在这个项目中，认知无线电网络被视为一个覆盖/底层系统，其中一个“虚拟社会网络”(即，用户之间的社会联系结构)覆盖在物理通信网络上。然后，利用社会纽带结构来促进协作感知和频谱共享，并且这种合作具有在频谱效率方面实现实质性收益的潜力。该项目是探索工程学、社会科学和经济学之间相互作用以提高频谱效率的创新研究的极佳范例。利用社会纽带结构进行频谱共享的研究成果有助于推进认知无线电网络设计的最新水平，并具有巨大的潜力为提高频谱共享开辟一条新的途径，从而造福社会。本项目以创新的议程，重点开发社会纽带感知频谱共享机制，同时考虑认知无线电用户之间的物理耦合和社会耦合。特别是在这个共同的主题下，这个项目被组织成两个协调良好的推力：1)推力I专注于主用户活动变化相对较慢时的数据库辅助频谱访问；以及次级用户之间的社会感知频道分配，其方式是每个用户进行频道选择以最大化其社会群体效用，定义为其自身效用和与其有社会联系的其他用户的效用的加权和。然后，研究了物理-社会博弈的社会群体效用最大化问题，并设计了实现社会纽带感知的纳什均衡的分布式算法。2)在初级用户活动变化较快的情况下，以设计一个社交感知频谱感知框架为中心，利用云平台，通过利用次级用户之间的社会信任来激励次级用户参与感知任务。直观上，通过利用人群的智慧，协作感知使二次用户能够克服由于信息不完整和个人用户能力有限而带来的挑战，从而更准确地检测频谱机会。除了广泛的仿真研究外，设计的技术还将在现实的无线网络测试床上进行评估。总体而言，该项目旨在开发一个社会群体效用最大化框架，以捕捉移动用户中复杂的社会结构，包括各种积极的社会关系(例如，朋友和盟友之间的关系)和消极的社会关系(由于恶意行为)。