8 research outputs found
Energy Efficiency Fairness Beamforming Designs for MISO NOMA Systems
In this paper, we propose two beamforming designs for a multiple-input
single-output non-orthogonal multiple access system considering the energy
efficiency (EE) fairness between users. In particular, two quantitative
fairness-based designs are developed to maintain fairness between the users in
terms of achieved EE: max-min energy efficiency (MMEE) and proportional
fairness (PF) designs. While the MMEE-based design aims to maximize the minimum
EE of the users in the system, the PF-based design aims to seek a good balance
between the global energy efficiency of the system and the EE fairness between
the users. Detailed simulation results indicate that our proposed designs offer
many-fold EE improvements over the existing energy-efficient beamforming
designs.Comment: IEEE WCNC 201
Beamforming Techniques for Non-Orthogonal Multiple Access in 5G Cellular Networks
In this paper, we develop various beamforming techniques for downlink
transmission for multiple-input single-output (MISO) non-orthogonal multiple
access (NOMA) systems. First, a beamforming approach with perfect channel state
information (CSI) is investigated to provide the required quality of service
(QoS) for all users. Taylor series approximation and semidefinite relaxation
(SDR) techniques are employed to reformulate the original non-convex power
minimization problem to a tractable one. Further, a fairness-based beamforming
approach is proposed through a max-min formulation to maintain fairness between
users. Next, we consider a robust scheme by incorporating channel
uncertainties, where the transmit power is minimized while satisfying the
outage probability requirement at each user. Through exploiting the SDR
approach, the original non-convex problem is reformulated in a linear matrix
inequality (LMI) form to obtain the optimal solution. Numerical results
demonstrate that the robust scheme can achieve better performance compared to
the non-robust scheme in terms of the rate satisfaction ratio. Further,
simulation results confirm that NOMA consumes a little over half transmit power
needed by OMA for the same data rate requirements. Hence, NOMA has the
potential to significantly improve the system performance in terms of transmit
power consumption in future 5G networks and beyond.Comment: accepted to publish in IEEE Transactions on Vehicular Technolog