Exploiting Multichannel Diversity in Spectrum Sharing Systems Using Optimal Stopping Rule
نویسندگان
چکیده
منابع مشابه
Exploiting New Forms of Multiuser Diversity for Spectrum Sharing in Cognitive Radio Networks
Multiuser diversity, as a fundamental property for fading wireless networks, has been widely applied in today’s wireless communication systems. Conventionally, due to the multiuser diversity, the long-term throughput of a wireless system consisting of multiple independently fading communication links can be enhanced by selecting one link with the best instantaneous channel quality to transmit a...
متن کاملExploiting New Forms of Multiuser Diversity in Spectrum Sharing Cognitive Radio Networks
Multiuser diversity (MD), as a fundamental property of fading wireless networks, has been widely applied in today’s wireless communication systems. In this letter, we consider the newly emerging cognitive radio (CR) wireless network that communicates by sharing the spectrum with the existing primary radio (PR) network. Under the assumption that the CR transmit terminal protects the PR transmiss...
متن کاملAn Effective and Optimal Fusion Rule in the Presence of Probabilistic Spectrum Sensing Data Falsification Attack
Cognitive radio (CR) network is an excellent solution to the spectrum scarcity problem. Cooperative spectrum sensing (CSS) has been widely used to precisely detect of primary user (PU) signals. The trustworthiness of the CSS is vulnerable to spectrum sensing data falsification (SSDF) attack. In an SSDF attack, some malicious users intentionally report wrong sensing results to cheat the fusion c...
متن کاملWideband Distributed Spectrum Sharing with Multichannel Immediate Multiple Access
This paper describes a radio architecture for distributed spectrum sharing of multiple channels among secondary users (SUs) in a wide band of frequencies and a localized area. A novel Multichannel Immediate Multiple Access (MIMA) physical layer is developed such that each SU can monitor all the channels simultaneously for incoming signals and achieve fast rendezvous within the multiple channels...
متن کاملEarly Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule
Early stopping is a form of regularization based on choosing when to stop running an iterative algorithm. Focusing on non-parametric regression in a reproducing kernel Hilbert space, we analyze the early stopping strategy for a form of gradient-descent applied to the least-squares loss function. We propose a data-dependent stopping rule that does not involve hold-out or cross-validation data, a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ETRI Journal
سال: 2012
ISSN: 1225-6463
DOI: 10.4218/etrij.12.0211.0274