TY - JOUR
T1 - An Efficient Precoder Design for Multiuser MIMO Cognitive Radio Networks with Interference Constraints
AU - Nguyen, Van-Dinh
AU - Duong, Trung Q.
AU - Tran, Le-Nam
AU - Shin, Oh-Soon
AU - Farrell, Ronan
PY - 2016/8/25
Y1 - 2016/8/25
N2 - We consider a linear precoder design for an underlay
cognitive radio multiple-input multiple-output broadcast
channel, where the secondary system consisting of a secondary
base-station (BS) and a group of secondary users (SUs) is allowed
to share the same spectrum with the primary system. All the
transceivers are equipped with multiple antennas, each of which
has its own maximum power constraint. Assuming zero-forcing
method to eliminate the multiuser interference, we study the sum
rate maximization problem for the secondary system subject to
both per-antenna power constraints at the secondary BS and the
interference power constraints at the primary users. The problem
of interest differs from the ones studied previously that often
assumed a sum power constraint and/or single antenna employed
at either both the primary and secondary receivers or the
primary receivers. To develop an efficient numerical algorithm,
we first invoke the rank relaxation method to transform the
considered problem into a convex-concave problem based on a
downlink-uplink result. We then propose a barrier interior-point
method to solve the resulting saddle point problem. In particular,
in each iteration of the proposed method we find the Newton
step by solving a system of discrete-time Sylvester equations,
which help reduce the complexity significantly, compared to
the conventional method. Simulation results are provided to
demonstrate fast convergence and effectiveness of the proposed
algorithm.
AB - We consider a linear precoder design for an underlay
cognitive radio multiple-input multiple-output broadcast
channel, where the secondary system consisting of a secondary
base-station (BS) and a group of secondary users (SUs) is allowed
to share the same spectrum with the primary system. All the
transceivers are equipped with multiple antennas, each of which
has its own maximum power constraint. Assuming zero-forcing
method to eliminate the multiuser interference, we study the sum
rate maximization problem for the secondary system subject to
both per-antenna power constraints at the secondary BS and the
interference power constraints at the primary users. The problem
of interest differs from the ones studied previously that often
assumed a sum power constraint and/or single antenna employed
at either both the primary and secondary receivers or the
primary receivers. To develop an efficient numerical algorithm,
we first invoke the rank relaxation method to transform the
considered problem into a convex-concave problem based on a
downlink-uplink result. We then propose a barrier interior-point
method to solve the resulting saddle point problem. In particular,
in each iteration of the proposed method we find the Newton
step by solving a system of discrete-time Sylvester equations,
which help reduce the complexity significantly, compared to
the conventional method. Simulation results are provided to
demonstrate fast convergence and effectiveness of the proposed
algorithm.
U2 - 10.1109/TVT.2016.2602844
DO - 10.1109/TVT.2016.2602844
M3 - Article
SN - 0018-9545
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
ER -