2 research outputs found
Subcarrier Assignment and Power Allocation for SCMA Energy Efficiency
In this paper we propose resource allocation algorithm for uplink sparse code
multiple access (SCMA) networks to maximize the energy efficiency (EE). Due to
the joint optimization of factor graph matrix and power allocation matrix, the
EE maximization is a non-convex mixed-integer non-linear program (MINLP)
problem. After transforming the non-convex form of the uplink sum rate to a
convex one and separating subcarrier assignment and power allocation, we
propose an energy efficient subcarrier assignment algorithm. By applying the
fractional programming theory based on Dinkelbach method, we then propose power
allocation algorithm to maximize EE. Finally, the simulation results show that
the proposed resource allocation algorithm can significantly increase the EE of
the uplink SCMA network.Comment: WC
Multi-Objective DNN-based Precoder for MIMO Communications
This paper introduces a unified deep neural network (DNN)-based precoder for
two-user multiple-input multiple-output (MIMO) networks with five objectives:
data transmission, energy harvesting, simultaneous wireless information and
power transfer, physical layer (PHY) security, and multicasting. First, a
rotation-based precoding is developed to solve the above problems
independently. Rotation-based precoding is new precoding and power allocation
that beats existing solutions in PHY security and multicasting and is reliable
in different antenna settings. Next, a DNN-based precoder is designed to unify
the solution for all objectives. The proposed DNN concurrently learns the
solutions given by conventional methods, i.e., analytical or rotation-based
solutions. A binary vector is designed as an input feature to distinguish the
objectives. Numerical results demonstrate that, compared to the conventional
solutions, the proposed DNN-based precoder reduces on-the-fly computational
complexity more than an order of magnitude while reaching near-optimal
performance (99.45\% of the averaged optimal solutions). The new precoder is
also more robust to the variations of the numbers of antennas at the receivers