PhDOne important feature of the future communication network is that users in the
network are required to experience a guaranteed high quality of service (QoS) due
to the popularity of multimedia applications. This thesis studies QoS-aware radio
resource management schemes in different OFDMA network scenarios.
Motivated by the fact that in current 4G networks, the QoS provisioning is severely
constrained by the availability of radio resources, especially the scarce spectrum
as well as the unbalanced traffic distribution from cell to cell, a joint antenna and
subcarrier management scheme is proposed to maximise user satisfaction with load
balancing. Antenna pattern update mechanism is further investigated with moving
users.
Combining network densi fication with cloud computing technologies, cloud radio
access network (C-RAN) has been proposed as the emerging 5G network architecture
consisting of baseband unit (BBU) pool, remote radio heads (RRHs) and
fronthaul links. With cloud based information sharing through the BBU pool,
a joint resource block and power allocation scheme is proposed to maximise the
number of satisfi ed users whose required QoS is achieved. In this scenario, users
are served by high power nodes only. With spatial reuse of system bandwidth by
network densi fication, users' QoS provisioning can be ensured but it introduces
energy and operating effciency issue. Therefore two network energy optimisation
schemes with QoS guarantee are further studied for C-RANs: an energy-effective
network deployment scheme is designed for C-RAN based small cells; a joint RRH
selection and user association scheme is investigated in heterogeneous C-RAN.
Thorough theoretical analysis is conducted in the development of all proposed
algorithms, and the effectiveness of all proposed algorithms is validated via comprehensive
simulations.China Scholarship Counci
