Future M2M Communication Networks

2016 ◽  
pp. 149-178
Author(s):  
Stavroula Vassaki ◽  
George Pitsiladis ◽  
Stavros E. Sagkriotis ◽  
Athanasios D. Panagopoulos
Keyword(s):  
Communication Networks ◽  
Communication Systems ◽  
Spectrum Sharing ◽  
Random Access ◽  
Wireless Communication Networks ◽  
Lte Networks ◽  
M2m Communication ◽  
M2m Communications ◽  
The Future ◽  
4G Lte

Machine type communications (or Machine-to-Machine / M2M) communications have emerged as an important paradigm in wireless communication networks. The current M2M standardization activities are presented and their implementation in 4G/LTE networks is described in detail. The chapter is divided in three parts that are related to the evolution of the Future M2M communication Networks. The first part focuses on existing random access management schemes for M2M communications that are presented in the literature. The second part is devoted on spectrum sharing methods and on M2M clustering and it presents the spatial distribution of heterogeneous networks and its impact on their connectivity. Finally, the last part refers to energy efficiency issues of the future M2M communication systems and their implementation using distributed power control and MAC/scheduling algorithms.

Distributive Throughput Optimization for Massive Random Access of M2M Communications in LTE Networks

2020 ◽  
Vol 69 (10) ◽  
pp. 11828-11840
Author(s):  
Changwei Zhang ◽  
Xinghua Sun ◽  
Jun Zhang ◽  
Xianbin Wang ◽  
Shi Jin ◽  
...  
Keyword(s):  
Random Access ◽  
Throughput Optimization ◽  
Lte Networks ◽  
M2m Communications

scholarly journals Power Efficient Time-Division Random-Access Model Based in Wireless Communication Networks

2021 ◽  
Vol 2 (4) ◽  
pp. 155-159
Author(s):  
Suma V
Keyword(s):  
Internet Of Things ◽  
Communication Networks ◽  
Radio Channel ◽  
Random Access ◽  
Wireless Communication Networks ◽  
Power Efficient ◽  
Massive Number ◽  
Iot Devices ◽  
Time Division ◽  
Access Model

The conventional infrastructure for mobile-communication is used for providing internet-of-things (IoT) services by the third-generation partnership project (3GPP) with the help of the recently developed cellular internet-of-things (CIoT) scheme. Random-access procedure can be used for connecting the large number of IoT devices using the CIoT systems. This process is advantages as the huge devices are accessed in a concurrent manner. When random access procedures are used simultaneously on a massive number of devices, the probability of congestion is high. This can be controlled to a certain extent through the time division scheme. A power efficient time-division random access model is developed in this paper to offer reliable coverage enhancement (CE) based on the coverage levels (CL). The quality of radio-channel is used for categorization of the CIoT devices after assigning them with CLs. The performance of random-access model can be improved and the instantaneous contention is relaxed greatly by distributing the loads based on their coverage levels into different time periods. Markov chain is used for mathematical analysis of the behavior and state of the devices. The probability of blocking access, success rate and collision control are enhanced by a significant level using this model in comparison to the conventional schemes.

scholarly journals Review of the Multicarrier Modulation Techniques used in Modern Wireless Communications

Telecom IT ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 55-66
Author(s):  
I. Grishin ◽  
A. Kalinkina
Keyword(s):  
Communication Networks ◽  
Communication Systems ◽  
Orthogonal Frequency Division Multiplexing ◽  
Filter Bank ◽  
Multicarrier Modulation ◽  
Wireless Communication Networks ◽  
Frequency Division ◽  
Radio Communication ◽  
Modulation Techniques ◽  
Radio Signals

This article provides an overview of the technologies for generating radio signals, such as orthogonal frequency division multiplexing and its modifications: universal filtered multicarrier and filter bank multi-carrier currently used in wireless communication networks. Subject of research: methods of multicar-rier modulation. Main results: Overview of modern methods of forming multicarrier signals in radio communication systems. A number of computational experiments have been performed to compare the characteristics of signal localization, peak-to-average ratios and spurious emissions. Practical implica-tions: the results can be used in choosing the type of modulation in the case of the development of digi-tal radio communication systems.

scholarly journals M2M Communication Assessment in Energy-Harvesting and Wake-Up Radio Assisted Scenarios Using Practical Components

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3992 ◽  
Author(s):  
Jukka Rinne ◽  
Jari Keskinen ◽  
Paul Berger ◽  
Donald Lupo ◽  
Mikko Valkama
Keyword(s):  
Energy Harvesting ◽  
Communication Systems ◽  
Propagation Loss ◽  
Light Sources ◽  
Performance Bounds ◽  
Performance Limits ◽  
M2m Communication ◽  
M2m Communications ◽  
Communication Assessment ◽  
Wireless Energy Harvesting

Techniques for wireless energy harvesting (WEH) are emerging as a fascinating set of solutions to extend the lifetime of energy-constrained wireless networks, and are commonly regarded as a key functional technique for almost perpetual communications. For example, with WEH technology, wireless devices are able to harvest energy from different light sources or Radio Frequency (RF) signals broadcast by ambient or dedicated wireless transmitters to support their operation and communications capabilities. WEH technology will have increasingly wider range of use in upcoming applications such as wireless sensor networks, Machine-to-Machine (M2M) communications, and the Internet of Things. In this paper, the usability and fundamental limits of joint RF and solar cell or photovoltaic harvesting based M2M communication systems are studied and presented. The derived theoretical bounds are in essence based on the Shannon capacity theorem, combined with selected propagation loss models, assumed additional link nonidealities, diversity processing, as well as the given energy harvesting and storage capabilities. Fundamental performance limits and available capacity of the communicating link are derived and analyzed, together with extensive numerical results evaluated in different practical scenarios, including realistic implementation losses and state-of-the-art printed supercapacitor performance figures with voltage doubler-based voltage regulator. In particular, low power sensor type communication applications using passive and semi-passive wake-up radio (WuR) are addressed in the study. The presented analysis principles and results establish clear feasibility regions and performance bounds for wireless energy harvesting based low rate M2M communications in the future IoT networks.

scholarly journals Massive MIMO Channel Models: A Survey

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Kan Zheng ◽  
Suling Ou ◽  
Xuefeng Yin
Keyword(s):  
Wireless Communication ◽  
Antenna Array ◽  
Communication Networks ◽  
Massive Mimo ◽  
Communication Systems ◽  
Channel Model ◽  
Spectrum Efficiency ◽  
Mimo Channel ◽  
Wireless Communication Networks ◽  
Channel Models

The exponential traffic growth of wireless communication networks gives rise to both the insufficient network capacity and excessive carbon emissions. Massive multiple-input multiple-output (MIMO) can improve the spectrum efficiency (SE) together with the energy efficiency (EE) and has been regarded as a promising technique for the next generation wireless communication networks. Channel model reflects the propagation characteristics of signals in radio environments and is very essential for evaluating the performances of wireless communication systems. The purpose of this paper is to investigate the state of the art in channel models of massive MIMO. First, the antenna array configurations are presented and classified, which directly affect the channel models and system performance. Then, measurement results are given in order to reflect the main properties of massive MIMO channels. Based on these properties, the channel models of massive MIMO are studied with different antenna array configurations, which can be used for both theoretical analysis and practical evaluation.

scholarly journals An Improved LTE RACH Protocol for M2M Applications

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Ahmed Samir ◽  
Mahmoud M. Elmesalawy ◽  
A. S. Ali ◽  
Ihab Ali
Keyword(s):  
Success Probability ◽  
Random Access ◽  
Cellular Systems ◽  
M2m Communication ◽  
M2m Communications ◽  
Access Delay ◽  
Access Channel ◽  
Extended Access ◽  
Multiple Devices ◽  
Baseline Solution

Machine-to-machine (M2M) communications allow multiple devices to communicate directly without human intervention. There will be a huge number of devices in the M2M communications which results in enormous congestion in the current Random Access Channel (RACH) of LTE based cellular systems. This paper presents a protocol for improving the performance of the LTE RACH for M2M applications. This protocol, the Distributed Queuing Access for LTE (DQAL), is based on the Distributed Queuing (DQ) algorithm. One of the benefits of using that algorithm is minimizing the collision in the access phase for the M2M communications. The reduction in the collision will turn in enhancing both the access success probability and the access delay for M2M devices (MDs). Furthermore, the protocol is designed to guarantee that the normal User Equipment (UE) device can access the system using the traditional RACH procedures without any modification. This will assure a seamless implementation of the proposed protocol over the existing LTE cellular systems. The simulation results show how the access delay obtained by the proposed DQAL protocol outperforms the Extended Access Baring (EAB) which is the baseline solution recommended by the 3 GPP for M2M communication.

scholarly journals Energy Efficient Design Techniques in Next-Generation Wireless Communication Networks: Emerging Trends and Future Directions

2020 ◽  
Vol 2020 ◽  
pp. 1-19 ◽  
Author(s):  
Joshua Onyeka Ogbebor ◽  
Agbotiname Lucky Imoize ◽  
Aderemi Aaron-Anthony Atayero
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Energy Efficient ◽  
Communication Systems ◽  
High Energy ◽  
Wireless Communication Networks ◽  
Paradigm Shifts ◽  
Efficient Design ◽  
Wireless Communication Network ◽  
Context Specific

The projected rise in wireless communication traffic has necessitated the advancement of energy-efficient (EE) techniques for the design of wireless communication systems, given the high operating costs of conventional wireless cellular networks, and the scarcity of energy resources in low-power applications. The objective of this paper is to examine the paradigm shifts in EE approaches in recent times by reviewing traditional approaches to EE, analyzing recent trends, and identifying future challenges and opportunities. Considering the current energy concerns, nodes in emerging wireless networks range from limited-energy nodes (LENs) to high-energy nodes (HENs) with entirely different constraints in either case. In view of these extremes, this paper examines the principles behind energy-efficient wireless communication network design. We then present a broad taxonomy that tracks the areas of impact of these techniques in the network. We specifically discuss the preponderance of prediction-based energy-efficient techniques and their limits, and then discuss the trends in renewable energy supply systems for future networks. Finally, we recommend more context-specific energy-efficient research efforts and cross-vendor collaborations to push the frontiers of energy efficiency in the design of wireless communication networks.

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