Enumeration and Identification of Active Users for Grant-Free NOMA Using Deep Neural Networks
In next-generation mobile radio systems, multiple access schemes will support a massive number of uncoordinated devices exhibiting sporadic traffic, transmitting short packets to a base station.
Muhammad Usman Khan +2 more
doaj +1 more source
Reliable recovery of hierarchically sparse signals for Gaussian and Kronecker product measurements
We propose and analyze a solution to the problem of recovering a block sparse signal with sparse blocks from linear measurements. Such problems naturally emerge inter alia in the context of mobile communication, in order to meet the scalability and low ...
Eisert, Jens +4 more
core +1 more source
Approximations of the aggregated interference statistics for outage analysis in massive MTC [PDF]
This paper presents several analytic closed-form approximations of the aggregated interference statistics within the framework of uplink massive machine-type-communications (mMTC), taking into account the random activity of the sensors.
Liesegang Maria, Sergi +2 more
core +2 more sources
Compressive Massive Random Access for Massive Machine-Type Communications (mMTC)
In future wireless networks, one fundamental challenge for massive machine-type communications (mMTC) lies in the reliable support of massive connectivity with low latency. Against this background, this paper proposes a compressive sensing (CS)-based massive random access scheme for mMTC by leveraging the inherent sporadic traffic, where both the ...
Ke, Malong +3 more
openaire +2 more sources
Narrowband IoT Data Transmission Procedures for Massive Machine-Type Communications [PDF]
Accepted in IEEE Networks Magazine.
Andres-Maldonado, Pilar +4 more
openaire +3 more sources
The challenges of M2M massive access in wireless cellular networks
The next generation of communication systems, which is commonly referred to as 5G, is expected to support, besides the traditional voice and data services, new communication paradigms, such as Internet of Things (IoT) and Machine-to-Machine (M2M ...
Andrea Biral +4 more
doaj +1 more source
Grouping-Based Random Access Collision Control for Massive Machine-Type Communication
Massive Machine-Type Communication (mMTC) is expected to be strongly supported by future 5G wireless networks. Its deployment, however, is seriously challenged by the high risk of random access (RA) collision. A popular concept is to reduce RA collisions
Han, Bin, Schotten, Hans D.
core +1 more source
Dynamic Algorithms for the Massively Parallel Computation Model [PDF]
The Massive Parallel Computing (MPC) model gained popularity during the last decade and it is now seen as the standard model for processing large scale data. One significant shortcoming of the model is that it assumes to work on static datasets while, in
Italiano, Giuseppe F. +3 more
core +3 more sources
Non-Orthogonal Multiple Access With Sequence Block Compressed Sensing Multiuser Detection for 5G
Compressed sensing-based multiuser detection (CSMUD) is a promising candidate to enable grant-free non-orthogonal multiple access for massive machine-type communication in the fifth-generation (5G) wireless communication system.
Mehmood Alam, Qi Zhang
doaj +1 more source
Joint Domain Based Massive Access for Small Packets Traffic of Uplink Wireless Channel
The fifth generation (5G) communication scenarios such as the cellular network and the emerging machine type communications will produce massive small packets.
Song, Qiang +3 more
core +1 more source

