PhD ThesisAs mobile wireless data traffic is increasing significantly, the development direction
for wireless networks is focusing on very high data rates, extremely low latency, with
a large number of connected devices and a reduction in energy usage. To satisfy the
rapid rise in user and traffic capacity, raises challenges given the limited bandwidth
resource. The main purpose for this research is to find ways to improve spectral efficiency,
data transmission rate, and reduce latency. Simultaneous wireless transmissions
happening in the same frequency band can help alleviate demand on transmission
slots, with methods like network coding to support decoding at the end terminals.
However, in general, signal asynchrony harms the transmission performance significantly.
The main contribution of this research is the proposal of a Dual Sampling (DS)
method, which aims to relieve the impact of signal asynchrony on simultaneous transmissions.
The key concept behind the DS method is sampling twice within each symbol
period to handle overlapping signals for successful decoding. Simulation results confirm
that it manages to support simultaneous transmissions. Moreover, the DS method
is implemented in both Information-Centric Networks (ICN) and Unmanned Aerial
Vehicles (UAVs) aided wireless networks. Additionally, for ICN, a Cache Migration
Protocol (CMP) is proposed to support simultaneous transmissions which reduces the
transmission latency. While for UAV-aided wireless networks, by exploiting the DS
method, simultaneous transmissions are supported resulting in better optimal max-min
throughput along supported by suitableUAV flight trajectory planning. By demonstrating
the performance gain in the application scenarios of ICN and UAV-aided wireless
networks, the DS method can be regarded as an optional promising transmission mechanism
when communicating with multiple users simultaneously
