Joint Routing, Scheduling and Power Control for Large Interference Wireless Networks
"We consider the problem of joint routing, scheduling and
power control in multi-hop wireless networks. We use a linear relation
between link capacity and signal to interference noise ratio in
our formulation. In a previous work, using a duality approach, the
optimal link scheduling and power control that minimizes the total
average transmission power is found. We formulate this problem
as a linear programming problem with exponential number of constraints.
To cope with the exponential number of constraints, we
propose an iterative algorithm based on the cutting plane method.
The separation oracle for the cutting plane algorithm turns out to
be an element-wise concave optimization problem that can be effectively
solved using branch and bound algorithm. We extend the
same method to find the optimal routing scheduling and power
control. Simulation results show that this methodology is more efficient
and scalable compare to the previously proposed algorithm."