NeTS: Small: From Sensing To Sharing Across Networks In White Space

FCC预计将开放空白区域供未经许可的使用，这创造了令人兴奋的新机会。它还提出了独特的挑战：(I)它需要准确的宽带频谱感知技术来避免对主用户的干扰，以及(Ii)它需要在网络内部和跨网络的不同环境下的动态频谱共享。本项目开发了一种整体的频谱感知方法，以解决多个次用户和空白空间网络之间的时空变异性和频谱共享。特别是，它首先开发了高效和准确的频谱感知技术，同时利用了时域和频域特征、有源发射机的稀疏性以及传输中的时间和空间局部性。其次，研究了在不同节点具有不同信息视图的异质网络中共享网络状态的成本和收益。第三，研究了跨网络(如CSMA/MaxWeight、TDMA/CSMA共址网络)的频谱共享。它开发算法并研究隐式共享(即，无状态交换)和显式信息跨网络共享的性能和公平性。第四，提出了一种全新的白空间设计方案，它利用类似随机码分多址的编码实现了与ofdm物理层的频谱共享，从而为白空间中的用户和网络之间的频谱共享带来了一种新的高效架构。这项研究产生的算法、技术和软件将有助于实现白空间中的有效通信，创造新的无线网络技术，并加深我们对无线网络的理解。研究成果将纳入网络课程，并通过会议/新闻出版物和软件分发广泛传播。

The anticipated opening up of white space by the FCC for unlicenseduse has created exciting new opportunities. It also presents uniquechallenges: (i) it requires accurate wide-band spectrum sensingtechnique to avoid interfering with primary users, and (ii) it needsdynamic spectrum sharing in heterogeneous setting both within networksand across networks.This project develops a holistic approach for spectrum sensing toaddress spatio-temporal variability and spectrum sharing amongmultiple secondary users and networks in white space. In particular,it first develops efficient and accurate spectrum sensing techniquesthat simultaneously exploit time- and frequency-domain features,sparsity in active transmitters, and temporal and spatial locality inthe transmissions. Second, it studies the cost and benefits of sharingnetwork state in a heterogeneous network where different nodes havedifferent information views. Third, it studies spectrum sharing acrossnetworks (e.g., CSMA/MaxWeight, TDMA/CSMA co-located networks). Itdevelops algorithms and studies performance and fairness both withimplicit sharing (i.e., no state-exchange) and with explicit sharingof information across networks. Fourth, it proposes a ground-up designfor white space that leverages random CDMA-like codes for spectrumsharing with an OFDM physical layer that leads to a new efficientarchitecture for sharing across users and networks in white space.The algorithms, techniques, and software resulting from this researchwill help enable effective communication in white space, create newwireless network technologies, and deepen our understanding ofwireless networks. The research results will be incorporated intonetworking courses and widely disseminated through conference/journalpublications and software distribution.