1 research outputs found
Resource Allocation in Wireless Networks with Energy Constraints
This dissertation focuses on the development of novel scheduling and resource
allocation schemes, which take into account and regulate the energy constraints
imposed by the levels of harvested energy. To this direction, first, the
optimal energy, time, and bandwidth allocation problem for the downlink of
energy harvesting base stations (EHBSs) is investigated, with the main focus
being on autonomous EHBSs. The presented analysis considers the impact of the
energy constraint on users' preferences and the BS's revenue. In order to model
the competitive nature of the problem, game theory is used. The next two
chapters focus on wireless powered networks (WPNs) and simultaneous wireless
information and power transfer (SWIPT) using radio frequency (RF) technology.
One of the main contributions of these chapters is the introduction of both
uplink and downlink non-orthogonal multiple access (NOMA) for WPNs. Moreover,
the individual data rates and fairness are improved, while the formulated
problems are optimally and efficiently solved. It is shown that, compared to
orthogonal multiple access, NOMA offers a considerable improvement in
throughput, fairness, and energy efficiency. Rather than this, proportional
fairness is maximized and uplink/downlink of WPNs are jointly optimized, in
which cases, except for NOMA, time division multiple access (TDMA) is also
investigated. Furthermore, the role of interference is considered, which has
been recognized as one of the main reasons of the asymmetric overall
degradation of the users' performance, due to different path-loss values,
called from now on as cascaded near-far problem. Moreover, SWIPT is
investigated and efficiently optimized in the context of multicarrier
cooperative communication networks. Finally, simultaneous lightwave information
and power transfer (SLIPT) is introduced, while novel and fundamental
techniques are proposed.Comment: Author's PhD Thesi