current and future communication systems is a powerful tool to asses the performance of systems without the need of building them. This paper presents a clustering approach geometry-based channel model, and employs it to derive the power density function (PDF) of the Angle of Arrival (AOA) of the multipath signal components. To evaluate the theoretical clusters PDF in angular domain proposed, w...

Direction finding and positioning systems based on RF signals are significantly impacted by multipath propagation, particularly in indoor environments. Existing algorithms (e.g MUSIC) perform poorly resolving Angle of Arrival (AoA) the presence or when operating a weak signal regime. We note that digitally sampled frontends allow for easy analysis signals, their delayed components. Low-cost Sof...

Terahertz (THz) communication is envisioned as one of the key technologies to satisfy high data rate demand intelligent 6G networks. However, directional transmissions, well peculiarities THz band, pose challenges on medium access control (MAC) design. In this paper, a dual-radio-assisted MAC protocol supporting concurrent transmission proposed, in which 2.4/5 GHz omnidirectional radio utilized...

This paper proposes a deep learning approach to the adaptive and sequential beamforming design problem for initial access phase in mmWave environment with single-path channel. For single-user scenario where is equivalent designing sequence of sensing beamformers learn angle arrival (AoA) dominant path, we propose novel neural network (DNN) that designs vectors sequentially based on available in...

This paper deals with the problem of estimating the position of a user equipment operating in a wireless communication network. In particular, we present a new positioning method based on the angles of arrival (AOA) measured in several radio links between that user equipment and different base stations. The proposed AOA-based method leads us to a non-iterative closed-form solution of the positi...

We present two reduced-rank channel estimators for large-scale multiple-input, multiple-output (MIMO) systems and analyze their mean square error (MSE) performance. Taking advantage of the channel’s transform domain sparseness, the estimators yield outstanding performance and may offer additional mean angle-of-arrival (AoA) information. It is shown that, for the estimators to be effective, one ...

It is essential to have deep understanding of the mobile radio channel in particular for radio communication modeling and advanced technology system design. Models for the mobile radio channel are vital for the study of smart antenna systems, both for the design of algorithms, systemtesting purposes, and for network planning. This paper provides an intensive study of the spatial characteristics...

We propose an intuitive, simple and hardware friendly, yet surprisingly novel and efficient, received signal’s angle of arrival (AoA) estimation scheme. Our intuitive, twophases cross-correlation based scheme relies on a switched beam antenna array, which is used to collect an omni-directional signal using few elements of the antenna array in the first phase. In the second phase, the scheme swi...

Research of target localization and tracking is always a remarkable problem in the application wireless sensor networks (WSNs) technology. There are many kinds research applications tracking, such as Angle Arrival (AOA), Time (TOA), Difference (TDOA). The accuracy for TOA, TDOA, AOA better than RSS. However, required devices more expensive In addition, computational complexity also complicated ...

The performance of a previously developed analog combining network (ACN) phase shifters for periodic broadcast vehicle-to-vehicle (V2V) communication is investigated. original ACN was designed to maximize the sum signal-to-noise ratios (SNRs) $K$ </inl...