Interference Cancellation Using Autocorrelation Division Multiple Access Filter in MIMO Ad-Hoc Networks

In this paper, the concept of ADMA (Autocorrelation Division Multiple Access) filter is applied for interference cancellation in a Multiple Input Multiple output (MIMO) ad-hoc networks with limited feedback and quantized beamforming. The distance between the nodes are considered as uniformly distributed in ad-hoc network. The receiver selects the suitable beamforming coefficient from the codebook vector using Grassmannian beamforming. This is called as quantized beamforming. The receiver drives the index of the excellent beamforming coefficient by means of finite rate feedback to the transmitter. With quantized beamforming, a technique is proposed namely ADMA filter, with which the interferences are blocked and hence the capacity is also increased. The outage probability lower bound expression in MIMO ad-hoc network using quantized beamforming and is combined with limited feedback is derived using ADMA filter. Numerical simulations are specified to explain the success of the ADMA filter method and the performance is analyzed.