Executive Summary This white paper compares and contrasts the two major implementations of beamforming found in the market today: ● Switched array beamforming ● Digital signal processing (DSP)-based beamforming This paper suggests that both methods do offer some performance gain but that DSP-based beamforming (such as used in ClientLink 2.0) is superior (especially when supporting a network wit...

It is well proven that beamforming could signi cantly improve the performance of MIMO wireless system. However the feedback and complexity associated with the beamforming schemes has hindered their use. On the other hand one can use multiuser diversity, which is a form of diversity inherent in a wireless network, provided by independent time-varying channels across the different users to achiev...

In this paper, DOA estimation is an important research area in array signal processing. The performance of adaptive beamforming methods are known to degrade severly in the presence of uncertainty in the signal sight direction. We propose a novel adaptive beamforming with a Bayesian method. Bayesian method a posterior probability density DOA estimator has been shown to perform excellently. The p...

This article gives a comparison of beamforming concepts. Adaptive beamforming and fixed beam switching in WCDMA-FDD-mode are compared from a system level perspective, ordinary sectorization (three 120 sectors) serves as a basis for comparison. Pilot channels P-CPICH (Primary Common Pilot Channel) and S-CPICH (Secondary CPICH) are considered as additional interference. For adaptive beamforming c...

In this paper, several optical beamforming architectures are proposed and experimentally demonstrated. The progress achieved for realizing these architectures with integrated optics is also reported. Due to its advanced features (fast-switching, huge bandwidth, immunity to EMI) the proposed photonic integrated beamforming architectures are a very promising alternative to traditional beamforming...

Sensors are becoming ubiquitous and can be combined in arrays for source localization purposes. If classical conventional beamforming is used, then random arrays have poor beampatterns. By pre-computing sensor weights, these beampatterns can be improved significantly. The problem is formulated in the frequency domain as a desired look direction, a frequency-independent transition region, and th...

We consider backlog-driven power control and antenna beamforming as ameans to maximize network throughput in a wireless uplink, where a base station receives with an antenna array from single-antenna wireless users. Throughput maximization gives rise to an optimization problem which is in general non-concave. We introduce a cross-layer, alternating maximization algorithm searching for the optim...

This paper describes prototyping of a neuroadaptive smart antenna beamforming algorithm using hardware-software implemented RBF neural network and FPGA system-on-programmable-chip (SoPC) approach. The aim is to implement the adaptive beamforming unit in a combination of hardware and software by estimating its performance against the fixed real-time constraint based on IMT-2000 family of 3G cell...

For distributed sensor/relay networks, high reliability and power efficiency are often required. However, several implementation issues arise in practice. One such problem is that all the distributed transmitters have limited power supply since the power source of the transmitters cannot be recharged continually. To resolve this, distributed beamforming has been proposed as a viable solution wh...

We investigate the ergodic sum rate and required transmit power of a single-cell massive multiple-input multiple-output (MIMO) downlink system. The system considered in this paper is based on two linear beamforming schemes, that is, maximum ratio transmission (MRT) beamforming and zero-forcing (ZF) beamforming. What’s more, we use minimum mean square error (MMSE) channel estimation to get imper...