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RESEARCH
– Ph.D. Thesis Resource Allocation and Data Rate Increasing Methods for
Next Generation Communication Systems
Data rate maximizing power control
principles for next generation wireless communication networks are the focus
of this thesis. Optimum power allocation techniques for a two-tier
communication network are obtained under interference, transmit power, and
fairness constraints by upgrading latest solutions in the literature. The proposed
system is general enough to cover both emerging heterogeneous network
(HetNet) architectures and cognitive radio (CR) networks. Second tier users
share the same resources with the first tier users and they form a multiple
access channel to their intended base station while causing interference to
the first tier users. Optimum and near-optimum allocation of transmission
powers maximizing the aggregate communication rate under individual
transmission power constraints and a constraint on the total interference
power at the first tier users is obtained for different scenarios. These
scenarios include problem formulations with multiple antennas at both the
transmitter and receiver side, multiple resource block communication, and
channel state information feedback constraints. We tried to identify the
communication scenarios for which binary power control techniques have
optimum or near-optimum solutions for 4G and next generation communication
systems. The results mentioned also gives us the ability to optimally
allocate the radio spectrum at hand between users in the same environment.
The resulting simple but optimum or close to optimum network management and
radio resource allocation principles help us to understand how close to
optimum the existing wireless telecommunication technologies are. Moreover, the solutions found for
single cell networks are generalized to
heterogeneous systems that include multiple micro-networks (alternatively
called micro-cell or femtocell). Similarly, investigating two-tiered
heterogeneous networks with primary and secondary users,
provides discovering the effect of signal interference constraints on the
optimum power allocation solutions for multi-cell and two-stage communication
structures. This work is supported by TUBITAK
under project no 112E024. Proceedings are published in several IEEE
conferences (VTC-2013, SIU-2015, SPAWC-2015). Two papers are published in
IEEE Wireless Communications Letters and Physical Communication Journals. |
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