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Modeling and analysis of user association and wireless backhauling in small cell networks

Dense deployment of small cells underlaying the traditional macrocells is considered
as a key enabling technique for the emerging fifth generation (5G) cellular networks.
However, the diverse transmit powers of the base stations (BSs) in such a network lead
to uneven distribution of the traffic loads among different BSs when received signal
power (RSP)-based user association is used. Moreover, provisioning of efficient and
economical backhauling for these small cells is a crucial challenge. To combat this,
wireless backhauling is been considered as a viable and cost-effective approach that
allows operators to obtain end-to-end control of their network rather than leasing
third party wired backhaul connections. But the scarcity of radio frequency (RF)
spectrum in the licensed bands is still a major constraint which necessitates efficient
spectrum planning for backhaul/access links of small cells. Emerging communications
techniques such as full-duplexing, which allows transmission and reception in the
same spectrum band, can be used to tackle the problem of spectrum scarcity. In the
above contexts, the objective of the research work presented in this thesis is to develop
efficient user association and wireless backhauling schemes for small cell networks and
analyze their performances. In particular, i) A channel-access aware user association
scheme is proposed to tackle the problem of uneven distribution of traffic load among
different BSs, ii) Performance analysis of full-duplex (FD) wireless backhauling of
small cells is carried out when compared to half-duplex (HD) wireless backhauling),
iii) A method for downlink spectrum allocation for in-band and out-of-band wireless
backhauling of full-duplex small cells is presented to optimally allocate spectrum for
access and backhaul links, iv) A method for optimal channel and power allocation
is presented for downlink access and backhaul links for half-duplex small cells. The
proposed methods and performance analysis models will be useful for optimizing the
design and deployment of small cell networks. / October 2017

Identiferoai:union.ndltd.org:MANITOBA/oai:mspace.lib.umanitoba.ca:1993/32231
Date24 April 2017
CreatorsSiddique, Uzma
ContributorsHossain, Ekram (Electrical and Computer Engineering) Ferens, Ken (Electrical and Computer Engineering), Yahampath, Pradeepa (Electrical and Computer Engineering) Li, Ben (Computer Science) Dobre, Octavia (Engineering and Applied Science, Memorial University)
Source SetsUniversity of Manitoba Canada
Detected LanguageEnglish

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