Wireless signal recognition plays an important role in cognitive radio, which promises a broad prospect spectrum monitoring and management with the coming applications for 5G Internet of Things networks. Therefore, great deal research exploration on has been done series effective schemes developed. In this paper, brief overview approaches is presented. More specifically, classical methods, emerging machine learning, deep leaning are extended from modulation to wireless technology continuous...

Instead of successive interference cancellation (SIC) for uplink non-orthogonal multiple access systems with fixed decoding order based on the statistical channel state information (CSI), we focus dynamic according to instantaneous CSI. After modeling fluctuation all users different transmit powers and path losses, a SIC receiver is proposed received power users. The outage probability system theoretically analyzed closed-form expressions three-user are derived. Simulations performed...

Generalized zero-shot learning (GZSL) requires a classifier trained on seen classes that can recognize objects from both and unseen classes. Due to the absence of training samples, tends bias towards To mitigate this problem, feature generation based models are proposed synthesize visual features for However, these generated in space which lacks discriminative ability. Therefore, some methods turn find better embedding training. They emphasize inter-class relationships classes, leading...

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) seamlessly integrates two wireless technologies, mmWave communications and MIMO, which provides spectrums with tens of GHz total bandwidth supports aggressive space division multiple access using large-scale arrays. Though it is a promising solution for next-generation systems, the realization MIMO faces several practical challenges. In particular, implementing in digital domain requires hundreds to thousands radio...

Cognitive radios may operate in practice under various adverse environments. For typical mobile and short-range scenarios, wireless links tend to be time frequency selective, i.e., the multipath propagations with time-varying fading coefficients will inevitable. To cope encountered doubly-selective channels, this paper we present a new spectrum sensing algorithm for distributed applications. First, dynamic discrete state-space model is established characterize process, where occupancy state...

Recent advancements in 3D scene editing have been propelled by the rapid development of generative models. Existing methods typically utilize models to perform text-guided on representations, such as Gaussian Splatting (3DGS). However, these are often limited texture modifications and fail when addressing geometric changes, a character's head turn around. Moreover, lack accurate control over spatial position results, language struggles precisely describe extent edits. To overcome...

Depression is one of the most common mood disorders and number patients increases significantly in recent years. Due to lack biomarkers, conversation between psychiatrists still main clinical diagnostic method which easily influenced by subjectivity both psychiatrists. Synthetic House-tree-person test (S-HTP), a convenient efficient mental assessment tool, minimizes subjective influences from patients, while its effectiveness limited professional ability analyst. Here we introduce deep...

We investigate an integrated inventory routing problem (IRP) in which one supplier with limited production capacity distributes a single item to set of retailers using homogeneous vehicles. In the objective function we consider loading cost is often neglected previous research. Considering deterioration products, soft time window during transportation stage and hard sales stage, prevent jams waiting cost, interval two successive vehicles returning supplier’s facilities required not be overly...

The unrestrained mobility and dynamic spectrum sharing are considered as two key features of next-generation communications. In this paper, sensing in mobile scenarios is investigated, which faces still great challenges both the location primary-user fading channel will become time-variant. Such uncertainties would arouse remarkable fluctuations strength received signals, making most existing schemes invalid. To cope with exceptional difficulty, a novel paradigm, i.e., deep sensing,...

A flexible VO 2 (B)@CFS electrode exhibits a high capacity and long cycle life for zinc-ion batteries.

Human activity recognition (HAR) based on WiFi channel state information (CSI) has received a lot of attentions recently due to its nonintrusive nature. Most CSI-based HAR systems use router and computing terminal for centralized processing, which makes it difficult achieve real-time wide-range recognition. Recently, lightweight Artificial Intelligence Internet Things (AIoT) devices are widely deployed. The equipped chips within such can collect process CSI data in distributed way. Thus, the...

In this paper, we investigate a novel slotted ALOHA-based distributed access cognitive network in which secondary user (SU) selects random subset of channels for sensing, detects an idle (unused by licensed users) therein, and transmits any one those detected channels. First, derive range the number to be sensed per SU access. Then, analytical average system throughput is attained cases where variable. Based on that, relationship between sensing attained. Subsequently, joint optimization...

Contrary to the most existing works about full-duplex (FD) relaying with perfect channel state information (CSI), this paper studies outage performance of two-way FD decode-and-forward relay network under joint effects residual self-interference and imperfect CSI. We first derive exact closed-form expressions system probability, based on which we obtain probability cancellation investigate impacts CSI performance. In addition, gain more insights CSI, analyze optimal power allocation scheme...

In this paper, we investigate the ergodic performance of rate-splitting multiple access (RSMA) with finite blocklength (FBL) in high mobility communication systems to meet ultra-reliable and low-latency (URLLC) requirements. Considering imperfect channel state information at transmitter (CSIT) originating from vehicles time delay feedback, analyze statistical properties signal-to-interference-plus-noise ratios (SINRs) for common private streams desired vehicle. Next, derive closed-form...

The range-based localization method is widely used in wireless sensor systems. Many existing algorithms are unbiased estimators. However, the estimation performance presents biased features real On other hand, many location estimators show some essential advantages over estimators, e.g., robust to noise, more accurate estimation, and low complexity. In this paper, we deeply investigate of estimator, min-max, achieve a new accuracy limit, propose hybrid Kalman filtering algorithm, which...

Magnetic MIMO is a wireless power transfer (WPT) system that employs multiple magnetic resonance coils to provide high efficient in the near field. energy beamforming typical scheme control currents or voltages of transmitter order achieve some objectives. Thus, channel information essential (MagBF), and it needs complicated circuits communication protocols feedback such information. Such may be not available due circuit limits privacy concerns. In addition, performance will degraded with...