Efficient Design Approaches for MIMO/Cooperative Cognitive Radio Transceivers

MIMO/协作认知无线电收发器的高效设计方法

• 批准号: 261321-2013
• 负责人: Hamouda, Walaa
• 金额: $ 2.99万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=571002
• 关键词: Efficient; Design; Approaches; MIMO; Cooperative

The rigid structure of the current spectrum allocation policies creates a bottleneck for rapidly growing wireless users. On the other hand, the Federal Communication Commission (FCC) measurements reveal that most of the licensed frequency bands are either unused or utilized less than 10% of the time. In order to address the limitations on spectrum usage, the FCC has motivated the use of opportunistic spectrum sharing to make licensed frequency bands accessible for unlicensed wireless users. The intention behind this is to create cognitive capability of wireless devices for concurrent spectrum usage. In cognitive networks, users/radios dynamically adapt to their environment through learning or artificial intelligence with the aim of improving the overall network performance. Given the projected smart capabilities of cognitive networks, many challenges such as spectrum sensing/sharing and system identification need to be addressed before actual implementation can take place. This proposal aims at investigating these challenges in an effort to enhance the overall spectrum efficiency in wireless cognitive networks. Specifically we will focus on efficient and low complexity spectrum sensing and blind system identification techniques with emphasis on modulation type/size, number of used antennas, and code design identification. The proposed research program will also involve investigations for joint design of the physical layer parameters and higher networking aspects of the wireless protocol stack in a cross-layer context. The design approach will be based on cognitive communications supported by intelligent architectures at the mobile cognitive end. With the wide applications of cognitive networks ranging from safety, healthcare (e.g., tracking of people with mental disabilities) and transportation, our findings will benefit both research institutions and companies, and hence provide the research communities in both industry and academia with efficient and fast implementations of these applications.

当前频谱分配策略的刚性结构给快速增长的无线用户带来了瓶颈。另一方面，联邦通信委员会（FCC）的测量显示，大多数许可频段要么未使用，要么利用率不到10%。为了解决频谱使用的限制，FCC鼓励使用机会性频谱共享，使未经许可的无线用户可以访问许可的频段。这背后的意图是为并发频谱使用创造无线设备的认知能力。在认知网络中，用户/无线电通过学习或人工智能动态适应其环境，目的是提高整体网络性能。