In wireless heterogeneous networks (HetNets), the spatial densification through small cells
and the application of massive MIMO antenna arrays are key enablers for high data …

In vehicular networks, in-vehicle user equipment (UE) with limited battery capacity can
achieve opportunistic energy saving by offloading energy-hungry workloads to vehicular …

As a key technology for future wireless networks, massive multiple-input multiple-output
(MIMO) can significantly improve the energy efficiency (EE) and spectral efficiency (SE), and …

We proposed several energy-efficient resource allocation algorithms for the downlink of an
orthogonal frequency-division-multiple-access (OFDMA) based femtocell heterogeneous …

In multicell massive multiple-input-multiple-output (MIMO) nonorthogonal multiple access
(NOMA) networks, base stations with multiple antennas deliver their radio-frequency energy …

A wireless network of multiple transmitter-user pairs overheard by an eavesdropper, where
the transmitters are equipped with multiple antennas, while the users and eavesdropper are …

The energy efficiency (EE) maximization problem is studied for the design of beamforming
for multi-carrier multiuser systems. Nonlinear amplifier at each antenna as well as per …

This paper considers the downlink transmission of cloud-radio access networks (C-RANs)
with limited fronthaul capacity. We formulate a joint design of remote radio head (RRH) …

This chapter investigates the energy-efficient base station (BS) association and
beamforming for multi-cell multiuser systems. Section 10.1 introduces the motivation of …

Resource allocation is one important mission in wireless communication systems. In 5G
wireless networks, it is essential that the new systems be more dynamic and wiser to …