Future cellular networks will increasingly rely on the millimeter-wave bands to increase capacity. Migrating ever higher carrier frequencies require directional beamforming establish and maintain link. Intelligent beam management (BM) protocols be critical for establishing maintaining connections between base station user equipment in a dynamic channel. This article first provides brief overview of BM protocol Release 15 5G New Radio, then identifies six major challenges later releases that...

Beam alignment – the process of finding an optimal directional beam pair is a challenging procedure crucial to millimeter wave (mmWave) communication systems. We propose novel method that learns site-specific probing codebook and uses measurements predict narrow beam. An end-to-end neural network (NN) architecture designed jointly learn predictor. The learned consists beams can capture particular characteristics propagation environment. proposed relies on sweeping codebook, does not require...

Beam alignment is a challenging and time-consuming process for millimeter wave (mmWave) systems, particularly as they trend towards higher carrier frequencies which require ever narrower beams. We propose beam method that assisted by machine learning (ML), where we train ML models to predict the optimal access point (AP) – or best few candidates user equipment (UE) given just its GPS coordinates, can be fed back UE estimated network using emerging localization techniques. evaluate with data...

Beam alignment is a challenging and time-consuming process for millimeter wave (mmWave) initial access (IA). We propose beam training method that assisted by machine learning (ML), where we train ML models to predict the optimal Access Point (AP) user equipment (UE) given its Global Positioning System (GPS) coordinates. After (possibly offline) phase during which exhaustive or hierarchical performed, our predicts few candidate APs beams knowing only location of UE. evaluate performance with...

Beam alignment is a critical bottleneck in millimeter wave communication. An ideal beam technique should achieve high beamforming gain with low latency, scale well to systems higher carrier frequencies, larger antenna arrays and multiple user equipment, not require hard-to-obtain context information. These qualities are collectively lacking existing methods. We depart from the conventional codebook-based (CB) approach where optimal chosen quantized codebooks instead propose grid-free method...

A high-quality network traffic dataset is essential to the development of accurate classification algorithms. In this work, we present a new labeled public with realistic mobile from wide range popular applications. An automated platform constructed generate and collect data specified applications in controlled environment. The contains over 21 million packets more than 29 hours application activity-level labels. We provide an example using machine learning (ML) models trained on proposed dataset.

Beam alignment - the process of finding an optimal directional beam pair is a challenging procedure crucial to millimeter wave (mmWave) communication systems. In this work, we propose method that learns site-specific probing codebook and uses measurements predict narrow beam. A novel neural network (NN) architecture designed jointly learn predictor in end-to-end fashion. The learned consists beams can capture particular characteristics propagation environment. proposed relies on sweeping...

Beam alignment - finding optimal analog beam-forming (BF) weights is a critical bottleneck for millimeter wave (mmWave) systems. Existing beam approaches typically assume that devices adopt codebooks of beams with uniform coverage, from which good pair selected after an exhaustive search or sweeping few candidate beams. In this work, we propose method grid-less the synthesized continuous set instead being chosen quantized codebook, and one-shot near-optimal BF are directly predicted without...

Providing a high quality video streaming experience in mobile data network via the ubiquitous HTTP Adaptive Streaming (HAS) protocol is challenging. This largely because HAS traffic arrives as regular Internet Protocol (IP) packets, indistinguishable from those of other services. paper presents real-time network-based Machine Learning (ML) classifiers incurring low overhead and capable (a) detecting service type different flows including HAS, (b)detecting player status for users with flows....

Beam alignment (BA) in modern millimeter wave standards such as 5G NR and WiGig (802.11ay) is based on exhaustive and/or hierarchical beam searches over pre-defined codebooks of wide narrow beams. This approach slow bandwidth/power-intensive, a considerable hindrance to the deployment bands. A new needed we move towards 6G. BA promising use case for deep learning (DL) 6G air interface, offering possibility automated custom tuning procedure each cell its unique propagation environment user...

Beam alignment (BA) in modern millimeter wave standards, such as 5G NR and WiGig (802.11ay), is based on exhaustive and/or hier-archical beam searches over pre-defined code-books of wide narrow beams. This approach slow bandwidth/power-intensive, a considerable hindrance to the deployment bands. A new needed we move toward 6G. BA promising use case for deep learning (DL) 6G air interface, offering possibility automated custom tuning procedure each cell its unique propagation environment user...

A mobile device - or user equipment (UE) using 5G can be configured to operate with large bandwidths and a number of MIMO layers enable high-throughput applications. This, however, comes at the cost high power consumption. variety applications run UE widely varying throughput requirements. For low requirement, over-configuration results in unnecessary We propose classify traffic UE, then configure accordingly meet requirement current application without Specifically, we (i) use machine...

Beam alignment is a critical bottleneck in millimeter wave (mmWave) communication. An ideal beam technique should achieve high beamforming (BF) gain with low latency, scale well to systems higher carrier frequencies, larger antenna arrays and multiple user equipments (UEs), not require hard-to-obtain context information (CI). These qualities are collectively lacking existing methods. We depart from the conventional codebook-based (CB) approach where optimal chosen quantized codebooks instead...

Beam alignment - the process of finding an optimal directional beam pair is a challenging procedure crucial to millimeter wave (mmWave) communication systems. We propose novel method that learns site-specific probing codebook and uses measurements predict narrow beam. An end-to-end neural network (NN) architecture designed jointly learn predictor. The learned consists beams can capture particular characteristics propagation environment. proposed relies on sweeping codebook, does not require...