Hybrid ORA and NORA schemes for machine-to-machine communication in long-term evolution networks

2019 ◽  
Vol 13 (12) ◽  
pp. 1852-1858 ◽  
Author(s):  
Mingyu Zhang ◽  
Ying Li ◽  
Xudong Guo
Keyword(s):  
Long Term Evolution ◽  
Machine To Machine ◽  
Term Evolution ◽  
Machine To Machine Communication ◽  
Machine Communication

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.

Supporting machine-to-machine communications in long-term evolution networks

2015 ◽  
pp. 109-129 ◽  
Author(s):  
A. Laya ◽  
K. Wang ◽  
L. Alonso ◽  
J. Alonso-Zarate ◽  
J. Markendahl
Keyword(s):  
Long Term Evolution ◽  
Machine To Machine ◽  
Term Evolution

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

2021 ◽  
Author(s):  
Nargis Khan ◽  
Jelena Mišić ◽  
Vojislav B. 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.

scholarly journals Realization of LTE physical layer baseband processing architecture for narrowband IOT

2018 ◽  
Vol 7 (2.31) ◽  
pp. 56
Author(s):  
S Syed Ameer Abbas ◽  
M Venisubha ◽  
S Siva Gayathri ◽  
S J. Thiruvengadam
Keyword(s):  
Long Term Evolution ◽  
Smart Devices ◽  
Battery Life ◽  
Term Evolution ◽  
Data Rates ◽  
Massive Number ◽  
Machine Communication ◽  
3Gpp Long Term Evolution ◽  
Resource Elements

The 3GPP Long Term Evolution represents the major innovation in cellular technology. NB-IoT is the 3GPP standard for machine to machine communication finalized within LTE Release13. NB-IoT technology occupies frequency band of 180 kHz bandwidth which corresponds to one resource block in LTE transmission. The Long Term Evolution (LTE) supports higher data rates, higher bandwidth, Low latency, good Quality of Service whereas objective of Narrow Band Internet of Things (NB - IOT) is to achieve extended coverage, to support massive number of smart devices and have multi - year long battery life. So the main focus is linking LTE with IOT. The objective of this paper proposes transmitter architecture of PUCCH (Physical Uplink Control Channel) and PUSCH(Physical uplink Shared Channel) in SISO and SIMO configurations for physical uplink channels of LTE. The physical uplink  and downlink channel processing involves scrambling, modulation, layer mapping, transform precoding, and resource element mapping at the transmitter and the receiver block to have demapping from the resource elements and detection of data. At present, the data for on-off control has been worked and the whole framework has been simulated using Modelsim and implemented in Spartan 6.

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

2021 ◽  
Author(s):  
Nargis Khan ◽  
Jelena Mišić ◽  
Vojislav B. 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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