Robust Regularised Channel Inversion for Massive MIMO Unlicensed

  • Ding M.
  • Garcia Rodriguez A.
  • Geraci G.
  • Qiang H.
  • Yuan J.

In this paper, we propose a robust regularised channel inversion (RRCI) approach to improve the downlink performance of massive multiple-input multiple-output unlicensed (mMIMO-U) under imperfect channel state information (CSI). We first derive the optimal parameter $alpha$ for regularised channel inversion (RCI). We then compare the beamforming performance among our proposed ...

LTE-M Evolution Towards 5G Massive MTC

  • Bhatoolaul D.
  • Ghosh A.
  • Mangalvedhe N.
  • Ratasuk R.

Massive machine type communication (mMTC) has been identified as an important use case for 5G New Radio wireless technology. In 4G Long-Term Evolution (LTE), 3GPP has previously introduced LTE-M for low-power, wide-area networks supporting the Internet of Things. Rel-13 specifications for LTE-M were completed in 2016. Rel-14 enhancements were completed ...

A Radio Resource-Efficient Paging Method in High Frequency 5G Networks

  • Awada A.
  • Michalopoulos D.

Conventional paging methods are associated with increased radio resource overhead when deployed in high frequency networks. This is due to the beam sweeping involved, which, particularly for large number of beams, renders conventional paging inefficient. This work provides an assessment in terms of radio resource usage efficiency of an alternative ...

Massive MIMO Unlicensed for High-Performance Indoor Networks

  • Claussen H.
  • Ding M.
  • Garcia-Rodriguez A.
  • Geraci G.
  • Giordano L.
  • Lopez-Perez D.

We propose massive MIMO unlicensed (mMIMO-U) as a high-capacity solution for future indoor wireless networks operating in the unlicensed spectrum. Building upon massive MIMO (mMIMO), mMIMO-U incorporates additional key features, such as the capability of placing accurate radiation nulls towards coexisting nodes during the channel access and data transmission phases. ...

Machine-Learning Identification of Airborne UAV-UEs Based on LTE Radio Measurements

  • Amorim R.
  • Kovacs I.
  • Mogensen P.
  • Nguyen H.
  • Wigard J.

The overall cellular network performance can be optimized for both ground and aerial users, if different treatment is given for the two user classes. Airborne UAVs experience different radio conditions that terrestrial users due to clearance in the radio path, which leads to strong desired signal reception, but at the ...

Multigroup Multicast Precoding in Massive MIMO

Optimal physical layer multicasting (PLM) is an NP-hard problem that for simplicity has been studied under idealistic assumptions, e.g., availability of perfect channel state information (CSI), both at the base station (BS) and at the user terminals (UTs). With the advent of massive multiple-input-multiple-output (MIMO), PLM has become more challenging, ...

Scaling Deep Learning-based Decoding of Polar Codes via Partitioning

  • Cammerer S.
  • Gruber T.
  • Hoydis J.
  • Ten Brink S.

The training complexity of deep learning-based channel decoders scales exponentially with the codebook size and therefore with the number of information bits. Thus, neural network decoding (NND) is currently only feasible for very short block lengths. In this work, we show that the conventional iterative decoding algorithm for polar codes ...

Dynamic TDD: the Asynchronous Case and the Synchronous Case

  • Guoqiang Mao
  • Lopez-Perez D.
  • Ming Ding
  • Zihuai Lin

Small cell networks (SCNs) are envisioned to embrace dynamic time division duplexing (TDD) in order to tailor downlink (DL)/uplink (UL) subframe resources to quick variations and burstiness of DL/UL traffic. The study of dynamic TDD is particularly important because it serves as the predecessor of the full duplex transmission technology, ...

Towards a cognitive warning system for safer hybrid traffic

  • Csépe V.
  • Honbolygó F.
  • Mallet P.
  • Mestre D.
  • Pergandi J.
  • Török Á.
  • Varga K.

Technological development brings increasingly closer the era of widely available self-driving cars. However, presumably there will be a time where human drivers and self-driving cars would share the same roads. In the current paper, we propose a cognitive warning system that utilizes information collected from the behaviour of the human ...

A Comparison Between Different Reception Diversity Schemes of a 4G-LTE Base Station in Reverberation Chamber: A Deployment in a Live Cellular Network

The uplink performance of a real fourth-generation long-term-evolution (LTE) frequency-division multiplexing base station was observed by adopting a reverberation chamber as propagating environment. In the downlink direction, the reception of the LTE signal is limited to mobile station receivers. On the other hand, different reception schemes could be implemented by ...

Fairness vs. Performance in Rel-13 LTE Licensed Assisted Access

Wireless spectrum being a valuable resource, a large number of both non-profit and for-profit users rely on its unlicensed parts, usually to provide some sort of local area wireless coverage. When the cellular vendors and service providers expressed interest in the unlicensed spectrum, the incumbent community started to fear that ...

Ultra-Dense Networks: A New Look at the Proportional Fair Scheduler

  • Amir H. Jafari
  • Guoqiang Mao
  • Lopez-Perez D.
  • Ming Ding
  • Zihuai Lin

In this paper, we theoretically study the proportional fair (PF) scheduler in the context of ultra-dense networks (UDNs). Analytical results are obtained for the coverage probability and the area spectral efficiency (ASE) performance of dense small cell networks (SCNs) with the PF scheduler employed at base stations (BSs). For the ...

Efficiency of Cloud-Based Application Services

  • Bauer E.

This theoretical work deeply analyzes operational and economic efficiency of producing services for end users from applications executing on cloud computing platforms. Operational efficiency is factored into service production efficiency, capacity utilization efficiency and VNF efficiency. A dynamic, time-driven, activity-based cost model of service production is derived. Six efficiency improvement ...

Agent composition for 5G management and orchestration

  • Raisanen V.

Virtualized execution environments in 5G network call for a linkage between network management and orchestration. Execution of 3GPP functionalities and management applications in the cloud also presents an opportunity to innovate outside of traditional paradigms. We describe a framework focusing on a virtual execution environment and utilizing agent composition to ...

Connectivity extraction in cloud infrastructures

  • Dubus S.
  • Kanoun W.
  • Mensah P.
  • Morin C.
  • Piolle G.
  • Totel E.

For management and security purposes, cloud providers should know the connectivity graph between virtual machines. Since traditional methods used in physical networks produce incomplete results and are hardly usable in the Cloud, we propose to use information provided by a Cloud Management Software and an SDN controller, to compute the ...

Impact of timing mismatch in multicarrier spectral-slicing transmission system using single coherent receiver

  • Le S.
  • Nguyen D.
  • Nguyen H.
  • Nguyen T.
  • Truong D.

Summary form only given. Strong light-matter coupling has been recently successfully explored in the GHz and THz [1] range with on-chip platforms. New and intriguing quantum optical phenomena have been predicted in the ultrastrong coupling regime [2], when the coupling strength Ω becomes comparable to the unperturbed frequency of the ...

5G Transformation: How mobile network operators are preparing for transformation to 5G ?

Fifth generation networks (5G) is not just another radio technology, its uptake opens the opportunities for Mobile Network Operators to drive a transformation of the mobile industry. With the advancement of complementary technologies in the same time frame, the scale of industrial transformation is expected to be high, with many ...

Blockchain network slice broker in 5G: Slice leasing in factory of the future use case

5G Network Slice Broker concept aims to enable mobile virtual network operators, over-the-top providers, and industry vertical market players to request and lease resources from infrastructure providers dynamically according to needs. In the future digital factory, the leasing of resources could also happen autonomously by manufacturing equipment. This paper presents ...

Future scenarios and value network configurations for industrial 5G

Billions of connected devices with new application requirements, deployment scenarios and business models will emerge in the future. 5G will follow both evolutionary path, that is, enhanced mobile broadband and coverage, and revolutionary path, that is, massive and critical Machine Type Communications (MTC). These MTC, also known as Machine-to-Machine (M2M) ...

One solution of decision making algorithm for semi-autonomous driving

  • ŽLukaä?
  • Majkic M.
  • Peles N.
  • Samard D.

The topic of decision making algorithm in semi-autonomous driving is discussed in this paper. Semi-autonomous vehicle is capable of many aspects of autonomous driving. But, there are situations that semi-autonomous driving algorithm is not capable to handle. In such situations vehicle control is given to driver. This kind of an ...