1 research outputs found
Resource Allocation for mmWave-NOMA Communication through Multiple Access Points Considering Human Blockages
In this paper, a novel framework for optimizing the resource allocation in a
millimeter-wave-non-orthogonal multiple access (mmWave-NOMA) communication for
crowded venues is proposed. MmWave communications suffer from severe blockage
caused by obstacles such as the human body, especially in a dense region. Thus,
a detailed method for modeling the blockage events in the in-venue scenarios is
introduced. Also, several mmWave access points are considered in different
locations. The resource allocation problem in this network is formulated in the
form of an optimization problem to maximize the network sum rate, which is
NP-hard. Hence, a three-stage low-complex solution is proposed to solve the
problem. At first, a user scheduling algorithm, i.e., modified worst connection
swapping (MWCS), is proposed. Secondly, the antenna allocation problem is
solved using the simulated annealing algorithm. Afterward, to maximize the
network sum rate and guarantee the quality of service constraints, a non-convex
power allocation optimization problem is solved by adopting the difference of
convex programming approach. The simulation results show that, under the
blockage effect, the proposed mmWave-NOMA scheme performs, on average,
better than the conventional mmWave-orthogonal multiple access (OMA) scheme. In
addition, the proposed scheme considering blockage even outperforms the
corresponding OMA system without blockage.Comment: 12 pages, 10 figures, this work has been submitted to the IEEE for
possible publicatio