Multiple Input Multiple Output Iterative Water-Filling Algorithm for Multiple Broadcast Networks Distributing Only Common Information

This paper considers the multiple input multiple output (MIMO) iterative water-filling algorithm (IWFA) for the coexistence of multiple broadcast networks distributing only common information. In the first part of the paper, we propose a power allocation for a MIMO broadcast network using parallel sub-channels and distributing only common information either to maximize the common rate subject to a total power constraint or to minimize the power subject to a common rate constraint. Assuming that the number of receive antennas is larger or equal to the number of transmit antennas, mathematical derivations show that the power allocation can be expressed in closed-form for two receivers. The second part of the paper focuses on the MIMO IWFA for the coexistence of multiple broadcast networks distributing only common information. Simulation results show that the proposed strategy has better performance than the current state of the art strategy which takes into account the worst sub-channels of all receivers. Moreover, a performance gain of about 6 dBW can be achieved with MIMO 2x2 systems as opposed to single input single output (SISO) systems.