  The fifth-generation (5G) wireless cellular system, which would be deployed
by 2020, is expected to deliver significantly higher capacity and better
network performance compared to those of the current fourth-generation (4G)
system. Specifically, it is predicted that tens of billions of wireless devices
will be connected to the wireless network over the next few years, which
results in an exponential explosion of mobile data traffic. Therefore, more
advanced wireless architecture, as well as radical and innovative access
technologies, must be proposed to meet this urgent increasing growth of mobile
data and connectivity requirements in the coming years. Toward this end, two
important wireless cellular architectures, namely wireless heterogeneous
networks (HetNets) based on the dense deployment of small cells and the cloud
radio access networks (C-RANs) have been proposed and actively studied by both
academic and industry communities. Besides enabling a lot of advantages in
increasing network coverage as well as end-to-end system throughput, these two
novel network architectures have also raised some novel technical challenges
and opened exciting research areas for further research. Motivated by the
aforementioned technical challenges, the general objective of this Ph.D.
research is to develop efficient radio resource allocation and interference
management algorithms for the future high-speed wireless cellular networks. In
particular, we have developed various efficient resource allocation algorithms
for reducing the transmission power and increasing the end-to-end network
throughput for both HetNets and C-RANs. Furthermore, extensive numerical
results are presented to gain further insights and to evaluate the performance
of our resource allocation designs.
