عنوان

Transmit Precoding and Bayesian Detection for Cognitive Radio Networks with Limited Channel State Information

Number

TL49989

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Transmit Precoding and Bayesian Detection for Cognitive Radio Networks with Limited Channel State Information

General Material Designation

[Thesis]

First Statement of Responsibility

Mohannad Hamed Al-Ali

Subsequent Statement of Responsibility

Ho, Dominic K. C.

Name of Publisher, Distributor, etc.

University of Missouri - Columbia

Date of Publication, Distribution, etc.

2017

Specific Material Designation and Extent of Item

160

Text of Note

Committee members: Ho, Dominic K. C.; Islam, Naz; Legarsky, Justin; Micheas, Athanasios C.

Text of Note

Place of publication: United States, Ann Arbor; ISBN=978-0-438-66319-0

Dissertation or thesis details and type of degree

Ph.D.

Discipline of degree

Electrical Engineering and Computer Science Department

Body granting the degree

University of Missouri - Columbia

Text preceding or following the note

2017

Text of Note

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

Subject Term

Applied sciences;Bayesian detection;Cognitive radio;Convex optimization;Lagrange duality;Maximin;Multiple-input multiple-output

Alkhanbooli, Badreyya

Ho, Dominic K. C.

Subdivision

Electrical Engineering and Computer Science Department

University of Missouri - Columbia

Call Number

2153769939; 11012689

Electronic name

p

[Thesis]

276903

a

Y