is the number of feedback bits and t is the number of transmit antennas. The geometrical bounding technique, used in the proof of the lower bound, also leads to a design criterion for good beamformers, whose outage performance approaches the lower bound. The design criterion minimizes the maximum inner product

, which is often good enough in practice. In several scenarios, SDR generates exact solutions that meet the associated bound on the optimum value. This is illustrated using measured very-high-bit-rate Digital Subscriber line (VDSL) channel data, and far-field beamforming for a uniform linear transmit

multi-input single-output (MISO) setting. We derive a SER lower bound, which is tight for good beamformer designs. Comparing this bound with the SER corresponding to the ideal case, we quantify the power loss due to the finite rate constraint, across the entire SNR range.

has been extensively investigated from both the outage probability and the average signal to noise ratio (SNR) perspectives. In this paper, we study the symbol error rate (SER) for transmit beamforming with finite-rate feedback. We derive a SER lower bound, which is tight for good beamformer designs

for beamforming. We show that this method not only enjoys good throughput, but also has desirable fairness properties. Simulations confirm our assertions.

Abstract—Beamforming methods rely on training data to estimate the covariance matrix of the interference pulse noise. Their convergence slows down if the signal of interest is present in the training data, thus requiring a large numbers of training snapshots to maintain good performance. In a

and, in particular, the generalized sidelobe canceler (GSC) version, which has been developed by Griffiths and Jim, are the most widely used beamforming techniques. These methods rely on the assumption that the received signals are simple delayed versions of the source signal. The good interference

This paper presents a study on algorithms for headphone-free bin-aural synthesis using a dedicated loudspeaker configuration. Both algorithms under investigation improve the properties of the bin-aural synthesis performance of the array. Firstly, beam-forming provides sound radiation localized

from multiple cells. Antenna arrays are used in AIS receivers to suppress the interference. A good beamforming algorithm is needed for computing beamformers. Previously, we proposed blind beamforming techniques based on subspace inter-section to solve this problem. In this paper, we propose more simple

Abstract not found