As a promising paradigm to reduce both capital and operating expenditures, the cloud radio
access network (C-RAN) has been shown to provide high spectral efficiency and energy …

This paper considers a downlink cloud radio access network (C-RAN) in which all the base-
stations (BSs) are connected to a central computing cloud via digital backhaul links with …

This paper considers a sparse precoding design for sum-rate maximization in a cloud radio
access network (Cloud-RAN). Constrained by the fronthaul link capacity and transmit power …

We propose a novel stochastic radio-resource-allocation strategy that achieves long-term
fairness considering backhaul and air-interface capacity limitations. The base station (BS) is …

We study here the problem of Antenna Domain Formation (ADF) in cloud RAN systems,
whereby multiple remote radio-heads (RRHs) are each to be assigned to a set of antenna …

The increasing demand for ubiquitous data service sets high expectations on future cellular
networks. They should not only provide data rates that are higher by orders of magnitude …

This paper considers the queue‐aware optimal energy minimisation sparse beamforming
design (QESB) in a downlink cloud radio access network (C‐RAN) system where multi …

This thesis considers a downlink cloud radio access network (C-RAN) where all the base
stations (BSs) are connected to a central processor (CP) via capacity-limited backhaul links …

As 5G aims to provide 1000-fold network capacity to mobile networks, heterogeneous
networks (HetNet) have become a promising technology to deliver this goal. This thesis …

This dissertation proposes novel techniques for assigning resources of wireless networks by
considering that the coverage radii are small, implying that some power consumption sinks …