A novel channel model and optimal power control schemes for mobile
mmWave two-tier networks
Abstract
We present a unified system model and framework for the analytical
performance study of two heterogeneous and physically-distinct, but
coexisting, networks that work harmoniously at the same time, space, and
frequency domains. The two-tier network model considered in this paper
is an overlaying of femtocells on a macrocell. Overlaying femtocells
improves the performance by offloading traffic from macrocells and
providing spatial diversity. The mmWave channel model employed considers
the number of clusters and rays within each cluster to vary due to the
end-user mobility. This is a new and different model compared to the
widely used channel models for mmWave two-tier networks. Optimal power
control is formulated as a sum-rate maximization problem for downlink
and uplink transmissions at two-tier networks and a power allocation
scheme is proposed by following Shannon-Hartley theorem. A comprehensive
and interesting performance investigation is provided, where it is shown
that the upper bound on the number of admitted secondary users has a
linear relationship with the outage probability threshold, logarithmic
relationship with SINR and exponential relationship with channel gain
factors. Simulation results show that the proposed scheme with
sub-channel iterative Lagrange multipliers search algorithm is very
effective at managing the cross-tier interference and can outperform a
competitive scheme from literature that is based on cognitive radio
technology. The computational complexity analysis of proposed algorithms
are also given, since the complexity of second algorithm can be a
performance-complexity trade-off issue for systems with limited
computation power and time requirements.