Multiplexing of latency-critical communication and mobile broadband on a shared channel

This paper presents solutions for efficient multiplexing of ultra-reliable low-latency communications (URLLC) and enhanced mobile broadband (eMBB) traffic on a shared downlink channel. Such a scenario presents multiple challenges in the context of radio resource scheduling, link adaptation and inter-cell interference, which are identified and addressed throughout the paper. Specifically, ...

Average downlink SINR model for 5G mmWave networks with analog beamforming

Millimeter-wave frequency bands enable the deployment of small-sized antenna arrays in the fifth generation of mobile networks, which provide high beamforming gain for both transmitter and receiver. In order to study user mobility, a computationally efficient simulator is needed that runs with a time step resolution that is higher than ...

Providing strong 5G mobile network slice isolation for highly sensitive third-party services

Future 5G mobile networks are expected to support network slicing, i.e. multiple virtual networks running on a common infrastructure. A virtual network, called network slice, may be created to support a specific communication service type, such as massive machine-type communication, or even a specific application, for example one single Internet ...

Performance analysis of uplink massive MIMO networks with a finite user density

In this paper, we conduct performance analysis for uplink (UL) massive multiple input and multiple output (mMI-MO) networks using stochastic geometry. With the consideration of practical system assumptions, such as sophisticated path loss model incorporating both line-of-sight (LoS) and non-line-of-sight (NLoS) transmissions and a finite user equipment (UE) density, we ...

5G new radio and LTE uplink coexistence

By the introduction of the fifth generation (5G) mobile communication networks and its physical layer entitled as new radio (NR), the question of link performance in coexistence scenario between the 5G NR and fourth generation (4G) mobile communication networks based on long term evolution (LTE) has been raised. In this ...

Promises and caveats of uplink IoT ultra-dense networks

In this paper, by means of simulations, we evaluate the uplink (UL) performance of an Internet of Things (IoT) capable ultra-dense network (UDN) in terms of the coverage probability and the density of reliably working user equipments (UEs). From our study, we show the benefits and challenges that UL IoT ...

Edge computing meets millimeter-wave enabled VR: Paving the way to cutting the cord

In this paper, a novel proactive computing and mmWave communication for ultra-reliable and low latency wireless virtual reality (VR is proposed. By leveraging information about users' poses, proactive computing and caching are used to pre-compute and store users' HD video frames to minimize the computing latency. Furthermore, multi-connectivity is exploited ...

LTE radio measurements above urban rooftops for aerial communications

This paper focus on the investigation of aerial communications for drones connected to cellular networks in urban areas. Most of the previous measurement based channel models for urban environments do not extend to users located at heights above rooftops. On the other hand, UAVs are expected to fly at the ...

Low complexity power control with decentralized fog computing for distributed massive MIMO

Fronthaul constrained Distributed Massive MIMO system (DM-MIMO) is a combination of Massive MIMO, and the architecture of Cloud Radio Access Network (C-RAN). It can simultaneously exploit the high spectral and energy efficiency provided by these two promising techniques of 5G, and boosts each other. We investigate the uplink of such ...

Transferring knowledge for tilt-dependent radio map prediction

Fifth generation wireless networks (5G) will face key challenges caused by diverse patterns of traffic demands and massive deployment of heterogeneous access points. In order to handle this complexity, machine learning techniques are expected to play a major role. However, due to the large space of parameters related to network ...

Indoor massive MIMO deployments for uniformly high wireless capacity

Providing consistently high wireless capacity is becoming increasingly important to support the applications required by future digital enterprises. In this paper, we propose Eigen-direction-aware ZF (EDA-ZF) with partial coordination among base stations (BSs) and distributed interference suppression as a practical approach to achieve this objective. We compare our solution with ...

5G new radio uplink performance: Noise, interference and emission constraints

This paper investigates the 5G new radio (NR) uplink (UL) performance with CP-OFDM and DFT-s-OFDM based waveforms. The effects of highly non-linear PA behavior, inter-allocation interference, and UL multi-user MIMO on the relative performance of these waveforms are addressed. It is shown that with relaxed EVM and inband emission requirements ...

Performance benchmark of transcoding as a virtual network function in CDN as a service slicing

Content delivery networks (CDNs) have been widely implemented to provide scalable cloud services. Such networks support resource pooling by allowing virtual machines to be dynamically running or stopping according to current users' demands. Recently, there has been an increasing interest in Network Function Virtualization (NFV) as an emerging technology that ...

Uplink sounding reference signal coordination to combat pilot contamination in 5G massive MIMO

To guarantee the success of massive multiple-input multiple-output (MIMO), one of the main challenges to solve is the efficient management of pilot contamination. Allocation of fully orthogonal pilot sequences across the network would provide a solution to the problem, but the associated overhead would make this approach infeasible in practical ...

Uplink performance analysis of a drone cell in a random field of ground interferers

Aerial base stations are a promising technology to increase the capabilities of existing communication networks. However, existing analytical frameworks do not sufficiently characterize the impact of ground interferers on aerial base stations. In order to address this issue, we model the effect of interference coming from coexisting ground networks on ...

Hybrid retransmission scheme for QoS-defined 5G ultra-reliable low-latency communications

One of the key challenges in next generation 5G networks is to deliver Ultra-Reliable Low-Latency Communications (URLLC). Recent advances in information theory about principles that govern short packet transmissions pointed out that, for the URLLC typical short packet dimension, achieving higher reliabilities comes at the price of a lower maximum ...

Bankruptcy game based resource allocation algorithm for 5G Cloud-RAN slicing

Recently, network slicing which addresses the deployment of multiple logical networks as independent business operations on a common physical infrastructure has attracted more and more attentions. Despite the advances of network slicing, there are still many open issues regarding the isolation of the wireless slices and resources allocation. The paper ...

Application-agnostic remote access for Bluetooth Low Energy

  • Buob M.
  • Douville R.
  • Rozhnova N.

Today, the smart devices based on short-range wireless communication technologies such as Bluetooth or ZigBee build an important part of the Internet of Things (IoT). Such devices are not reachable outside of their Wireless Personal Area Network (WPAN). However, users' needs are sometimes incompatible with this limited reachability. Our goal ...

A Unified Clustering Approach for Identifying Functional Zones in Suburban and Urban Areas

  • Cao J.
  • He R.
  • Yang J.
  • Zhang Y.

It is well known that a modern city comprises multiple functional zones such as business, entertainment and shopping areas. It is also well established that identifying functional zones can effectively assist in understanding human mobility behavior and planning urban development. Less is known about suburban functional zones. In this paper ...

Line speed heavy hitters on sliding windows

Sliding window measurements are required by network functionalities such as load balancing, traffic engineering, and intrusion detection. Previous works suggested finding the most frequent flows, also known as heavy hitters but the suggested algorithms are too slow for modern lines. This work introduces a novel randomized algorithm named HHAWAII that ...