Dec 24, 2020 · In this paper, we study the energy efficiency optimization problem in spectrum sharing multiple-input-multiple-output(MIMO) cognitive radio network.

Abstract—In this paper, we study the energy efficiency opti- mization problem in spectrum sharing multiple-input-multiple- output(MIMO) cognitive radio ...

Simulation results show that the proposed energy- efficient beamforming strategy significantly boost the energy efficiency compared with the ...

This paper considers a multiple-input-multiple-output (MIMO) cognitive radio network, where secondary users (SUs) equipped with multiple antennas coexist with a ...

ENERGY EFFICIENCY OPTIMIZATION IN MASSIVE MIMO COGNITIVE RADIO NETWORK USING SMART RADIO ALGORITHMS · Weighted Sum of Energy Efficiency Beamforming Strategy for ...

Oct 22, 2024 · In this paper, we investigate the joint design of transmit beamforming and power control to maximize the weighted sum rate in the ...

In this paper, we study the energy optimization problem for the massive MIMO-based VEC network. Aiming at reducing the relevant BS energy consumption.

This study investigates a cognitive radio network (CRN)-based hybrid wideband transceiver for millimeter-wave (mm-wave) decode-and-forward (DF) relay-assisted ...

Full length article. Weighted Sum Energy Efficiency Maximization of Device-to-Device groups underlaying NOMA cellular network.

We study a weighted sum rate maximization problem for the secondary user (SU) multiple input multiple output (MIMO) broadcast channel (BC), in which the SUs are ...