Method and Test Environment for the Validation of Random Access Channel for Long Term Evolution Systems in 450 MHz

2015 ◽  
pp. 113-128
Author(s):  
Ricardo Toguchi Caldeira ◽  
Juliano João Bazzo ◽  
Elisabete Banza de Arruda Faber ◽  
João Paulo Miranda
Keyword(s):  
Random Access ◽  
Long Term Evolution ◽  
Test Environment ◽  
Term Evolution ◽  
Access Channel ◽  
Random Access Channel ◽  
Evolution Systems

scholarly journals A Poisson Process-Based Random Access Channel for 5G and Beyond Networks

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 508
Author(s):  
Alaa Omran Almagrabi ◽  
Rashid Ali ◽  
Daniyal Alghazzawi ◽  
Abdullah AlBarakati ◽  
Tahir Khurshaid
Keyword(s):  
Poisson Process ◽  
Random Access ◽  
Communication Technologies ◽  
Channel Access ◽  
Access Channel ◽  
Machine Type Communications ◽  
Equal Chance ◽  
Random Access Channel ◽  
Access Mechanisms

The 5th generation (5G) wireless networks propose to address a variety of usage scenarios, such as enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable low-latency communications (URLLC). Due to the exponential increase in the user equipment (UE) devices of wireless communication technologies, 5G and beyond networks (B5G) expect to support far higher user density and far lower latency than currently deployed cellular technologies, like long-term evolution-Advanced (LTE-A). However, one of the critical challenges for B5G is finding a clever way for various channel access mechanisms to maintain dense UE deployments. Random access channel (RACH) is a mandatory procedure for the UEs to connect with the evolved node B (eNB). The performance of the RACH directly affects the performance of the entire network. Currently, RACH uses a uniform distribution-based (UD) random access to prevent a possible network collision among multiple UEs attempting to access channel resources. However, in a UD-based channel access, every UE has an equal chance to choose a similar contention preamble close to the expected value, which causes an increase in the collision among the UEs. Therefore, in this paper, we propose a Poisson process-based RACH (2PRACH) alternative to a UD-based RACH. A Poisson process-based distribution, such as exponential distribution, disperses the random preambles between two bounds in a Poisson point method, where random variables occur continuously and independently with a constant parametric rate. In this way, our proposed 2PRACH approach distributes the UEs in a probability distribution of a parametric collection. Simulation results show that the shift of RACH from UD-based channel access to a Poisson process-based distribution enhances the reliability and lowers the network’s latency.

The Random Access Procedure in Long Term Evolution Networks for the Internet of Things

2017 ◽  
Vol 55 (3) ◽  
pp. 124-131 ◽  
Author(s):  
Tiago P.C. De Andrade ◽  
Carlos A. Astudillo ◽  
Luiz R. Sekijima ◽  
Nelson L.S. Da Fonseca
Keyword(s):  
Internet Of Things ◽  
Random Access ◽  
Long Term Evolution ◽  
The Internet ◽  
Term Evolution ◽  
The Internet Of Things

Enhanced Isolation Mimo Antenna with DGS Structures for Long Term Evolution Systems

2015 ◽  
Vol 2 (4) ◽  
pp. 71-76
Author(s):  
I Messaoudene ◽  
M. A Belhocine ◽  
S Aidel ◽  
N Djeffal
Keyword(s):  
Long Term Evolution ◽  
Mimo Antenna ◽  
Term Evolution ◽  
Evolution Systems

scholarly journals Priority-Based Machine-To-Machine Overlay Network over LTE for a Smart City

2018 ◽  
Vol 7 (3) ◽  
pp. 27 ◽  
Author(s):  
Nargis Khan ◽  
Jelena Mišić ◽  
Vojislav Mišić
Keyword(s):  
Smart City ◽  
Overlay Network ◽  
Long Term Evolution ◽  
City Development ◽  
Machine To Machine ◽  
Crowd Sensing ◽  
Term Evolution ◽  
Trade Offs ◽  
Access Channel

Long-Term Evolution (LTE) and its improvement, Long-Term Evolution-Advanced (LTE-A), are attractive choices for Machine-to-Machine (M2M) communication due to their ubiquitous coverage and high bandwidth. However, the focus of LTE design was high performance connection-based communications between human-operated devices (also known as human-to-human, or H2H traffic), which was initially established over the Physical Random Access Channel (PRACH). On the other hand, M2M traffic is mostly based on contention-based transmission of short messages and does not need connection establishment. As a result, M2M traffic transmitted over LTE PRACH has to use the inefficient four-way handshake and compete for resources with H2H traffic. When a large number of M2M devices attempts to access the PRACH, an outage condition may occur; furthermore, traffic prioritization is regulated only through age-based power ramping, which drives the network even faster towards the outage condition. In this article, we describe an overlay network that allows a massive number of M2M devices to coexist with H2H traffic and access the network without going through the full LTE handshake. The overlay network is patterned after IEEE 802.15.6 to support multiple priority classes of M2M traffic. We analyse the performance of the joint M2M and H2H system and investigate the trade-offs needed to keep satisfactory performance and reliability for M2M traffic in the presence of H2H traffic of known intensity. Our results confirm the validity of this approach for applications in crowd sensing, monitoring and others utilized in smart city development.

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