عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
TL49989
انگلیسی
Transmit Precoding and Bayesian Detection for Cognitive Radio Networks with Limited Channel State Information
[Thesis]
Mohannad Hamed Al-Ali
Ho, Dominic K. C.
University of Missouri - Columbia
2017
160
Committee members: Ho, Dominic K. C.; Islam, Naz; Legarsky, Justin; Micheas, Athanasios C.
Place of publication: United States, Ann Arbor; ISBN=978-0-438-66319-0
Ph.D.
Electrical Engineering and Computer Science Department
University of Missouri - Columbia
2017
Cognitive radio (CR) represents a recent direction for enabling coexistence among heterogeneous networks. It can be a potential solution for the problem of scarce spectrum available for wireless communication systems. The study here investigates the underlay and interweave paradigms for the coexistence of CR network of secondary users (SUs) with a primary network of primary users (PUs). Under underlay mode, both networks communicates concurrently using the same resources. With interweave, SU is able to communicate as long as (some) PUs are not active. Usually, underlay or interweave employs multiple antennas at SU to use the spectral resources better and manage the interference towards the primary network. Performance of the CR network under either paradigm depends largely on the amount and quality of channel state information (CSI) available about the different communication links. In practical systems, often CSI at SU has uncertainty since it is deviated from the true one or is not known at all. This uncertainty should be accounted when designing the precoding schemes for SU or otherwise the interference impact on primary networks would violate the quality of service (QoS) requirements for PUs. This dissertation considers two cases regarding to the availability of CSI, the first one is when CSI is imperfect and the second is when CSI is completely not known.
Electrical engineering
Applied sciences;Bayesian detection;Cognitive radio;Convex optimization;Lagrange duality;Maximin;Multiple-input multiple-output
Alkhanbooli, Badreyya
Ho, Dominic K. C.
Electrical Engineering and Computer Science Department
University of Missouri - Columbia
2153769939; 11012689
مطالعه متن کتاب p
[Thesis]
276903
a
Y
