dc.contributor.advisor | Karaşan, Ezhan | |
dc.contributor.author | Ünal, Deniz | |
dc.date.accessioned | 2018-08-31T12:32:21Z | |
dc.date.available | 2018-08-31T12:32:21Z | |
dc.date.copyright | 2018-08 | |
dc.date.issued | 2018-08 | |
dc.date.submitted | 2018-08-28 | |
dc.identifier.uri | http://hdl.handle.net/11693/47759 | |
dc.description | Cataloged from PDF version of article. | en_US |
dc.description | Thesis (M.S.): Bilkent University, Department of Electrical and Electronics Engineering, İhsan Doğramacı Bilkent University, 2018. | en_US |
dc.description | Includes bibliographical references (leaves 62-65). | en_US |
dc.description.abstract | Improving spectral efficiency is a key objective in next generation wireless networks.
Recent advances in self-interference cancellation techniques made in-band
full-duplex wireless communications possible. Unlike half-duplex systems which
require orthogonal frequency or time resources to separate transmission and reception,
in-band full-duplex radios utilize the channel bidirectionally and theoretically
can double the ergodic capacity. However due to cost, power consumption
and complexity constraints, mobile stations may not support this technology. In
this work, operation of full-duplex base stations with legacy half-duplex mobile
stations is considered. An inherent issue of this topology is the presence of signi
cant inter-user interference between half-duplex mobile stations. In order to
manage this at network level, an optimization problem is formulated for a cellular
network topology. Solution methods and their corresponding sum throughput are
compared with respect to the number of mobile stations. An analytic solution
is presented to evaluate the throughput and full-duplex gains of random pairing
method for the same scenario. Then the case of limited channel state information
is evaluated and a learning strategy is introduced to extend the user pairing
problem to a continuous case. Performance evaluation with 100 mobile stations
show that the proposed learning strategy can reduce the overhead airtime more
than 80%. A weighted random sequential algorithm which is integrated to the
learning process is proposed, and its performance evaluation under random walk
and random waypoint mobility cases are performed. | en_US |
dc.description.statementofresponsibility | by Deniz Ünal. | en_US |
dc.format.extent | xii, 65 leaves : charts ; 30 cm. | en_US |
dc.language.iso | English | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Wireless Networks | en_US |
dc.subject | Full-Duplex | en_US |
dc.subject | Mobility | en_US |
dc.subject | Station Pairing | en_US |
dc.title | User grouping in wireless networks with full duplex base stations and legacy mobile stations | en_US |
dc.title.alternative | Tam çift yönlü baz istasyonlu ve eski mobil istasyonlu kablosuz ağlarda kullanıcı gruplaması | en_US |
dc.type | Thesis | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.publisher | Bilkent University | en_US |
dc.description.degree | M.S. | en_US |
dc.identifier.itemid | B158923 | |