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

美国联邦通信委员会（FCC）对无证使用的空白空间的预期开放创造了令人兴奋的新机会。它也提出了独特的挑战：(i)它需要精确的宽带频谱传感技术来避免对主要用户的干扰，（ii）它需要在网络内和跨网络的异构设置中动态频谱共享。该项目开发了一种全面的频谱传感方法，以解决白色空间中多个次要用户和网络之间的时空变异性和频谱共享问题。特别是，它首先开发了高效和准确的频谱传感技术，同时利用时域和频域特征、有源发射机的稀疏性以及传输中的时空局部性。其次，研究了在不同节点具有不同信息视图的异构网络中共享网络状态的成本和收益。第三，研究跨网络频谱共享（例如，CSMA/MaxWeight， TDMA/CSMA共址网络）。它开发算法，并在隐式共享（即没有状态交换）和跨网络的显式信息共享的情况下研究性能和公平性。第四，它提出了一种空白空间的底层设计，利用随机的类似cdma的代码与OFDM物理层进行频谱共享，从而形成一种新的高效架构，用于在空白空间中跨用户和网络共享。本研究的算法、技术和软件将有助于在空白空间中实现有效的通信，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/期刊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.