Wireless Wide-Area Networks for Internet of Things: An Air Interface Protocol for IoT and a Simultaneous Access Channel for Uplink IoT Communication

Bontu, C.S.; Periyalwar, S.; Pecen, M.

doi:10.1109/mvt.2013.2295068

Cited by 36 publications

(12 citation statements)

References 6 publications

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“…Dhillon et al [47] suggest to implement a loaddependent access scheme wherein uncoordinated strategy is for light load and coordinated strategy for heavy load. Bontu et al [83] propose a new uplink (UL) physical, transport, and logical channel: common traffic channel (CTCH), UL simultaneous-access shared channel (UL-SSCH), and physical uplink simultaneous access shared channel (PUSSCH). The aforementioned channels enable M2M devices to simultaneously transmit data packet in the same radio resource.…”

Section: Energy-efficient Random Access Procedures and Macmentioning

confidence: 99%

Survey of radio resource management issues and proposals for energy-efficient cellular networks that will cover billions of machines

Song

Nuaymi

Lagrange

2016

J Wireless Com Network

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A huge increase of machines attached to wireless networks is expected in the next few years. A large part of these machines will be covered by some wireless wide area networks. The arrival of cellular M2M (machine-to-machine) communication poses new requirements due to its specific characteristics. For most of the cellular M2M applications, the essential requirement is low energy consumption level or high energy efficiency. This survey provides a global view of the network technologies previewed for cellular M2M. In this survey, we study the existing classifications of M2M applications according to different criteria in the literature. The comparison of traffic characteristics between M2M and human-to-human is also proposed. Quality of service (QoS) requirements for typical M2M applications are resumed. The advance of reference M2M network architectures proposed by the Standard Development Organization (SDO) is investigated. We identify two possible effort directions to improve the energy efficiency for cellular M2M. The first one is to evolve the current existing 3rd Generation Partnership Project (3GPP) Consortium cellular networks to effectively support MTC (Machine Type Communication). The other direction is to design M2M-dedicated networks from scratch, which are often called low-power wide-area (LPWA) networks. We review, compare and categorize the proposals related to energy issues of cellular M2M mainly over the period 2011-2015 for the first direction. We introduce the development of LPWA networks for the other research directions. We highlight that the cooperative relaying, the design of energy-efficient signaling and operation, the new radio resource allocation schemes, and the energy-efficient random access procedure are the main points of improvement. It is important to jointly use the aforementioned approaches, for example, joint design of random access control and radio resource allocation, to seek for a trade-off between energy efficiency and other system performances.

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Section: Energy-efficient Random Access Procedures and Macmentioning

confidence: 99%

Survey of radio resource management issues and proposals for energy-efficient cellular networks that will cover billions of machines

Song

Nuaymi

Lagrange

2016

J Wireless Com Network

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“…In addition, R. Morelos-Zaragoza et al [15] examined the error performance of the tag-to-reader link of a passive UHF (Ultra High Frequency) RFID (Radio Frequency Identification) system and proposed the correction technique of single errors in the received EPC with a look-up table. A simplified air interface protocol and a simultaneous access channel for uplink communication was proposed by C. S. Bontu et al [16], which can be considered either as an enhancement or an overlay to the existing cellular systems. E. Ustunel et al [17] studied the CRC coding performance on basis of a cross layer performance criterion, which considered the CRC generator polynomial, message length, and Signalto-Noise Ratio (SNR).…”

Section: Related Workmentioning

confidence: 99%

Reliable Transmission Control Scheme Based on FEC Sensing and Adaptive MIMO for Mobile Internet of Things

Li¹,

Feng²,

Jin³

et al. 2014

JCM

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In mobile Internet of Things, it is one key issue how to provide the reliable guarantee of transmission over sensors in connection with the services diversity, dynamic topology and various unknown interference. To solve these problems, we analyzed the Forward Error Control (FEC) sensing technology based on Cyclic Redundancy Check (CRC) and adaptive Multiple Input Multiple Output (MIMO) approach, building upon which we proposed the reliable transmission control scheme, in order to guarantee the Quality of Services. The mathematical analyses and NS simulation results show that the proposed transmission control scheme maintain the better performance such as throughput, reliability, real time performance and energy efficiency, than the FEC alone and MIMO alone approaches. Index Terms-Mobile internet of tings, FEC sensing, adaptive multiple-input multiple-output, reliable transmission I. INTRODUCTION Perception of the physical world and process of change, a lot of objects should be detected [1], [2], including temperature, pressure, humidity, strain, so the miniaturization and low-power sensors for applications is important and significant. There are some challenging issues of design, communication and transmission over sensors in Mobile Internet of Things (MIOT). Wireless communication environment of MIOT is dynamic and harsh, which have various interferences. Transmission and communication over this channel is susceptible to such distortions as finite bandwidth, resources, mobility, application service diversity, etc [3], [4]. These restrictions, combined with the characteristics of sensor networks [5] such as limited computation ability, storage and self-organization, make it difficult to guarantee Quality of Services (QoS) over MIOT.

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“…IoT intends to make everyday objects connected and smart by deploying great amount of machines that are typically wireless, such as sensors [8], [9]. The autonomous communications among machines in IoT creates a new frontier of wireless communications and networks, called machineto-machine (M2M) communications.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid-Grant Random Access Scheme in Massive MIMO Systems for IoT

2020

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The grant-free random access (RA) can minimize the access delay but also brings severe data transmission interferences. To overcome this defect, we propose a new RA scheme that inserts a base station (BS) broadcasting message after user equipments (UEs) transmitting pilots. In this scheme, UEs can determine whether they have colliders by resolving the broadcasting message, and only non-colliding UEs can transmit data in the following step while colliding UEs keep silent. By doing this, the data interferences from colliding UEs are eliminated without costing much extra time. Since this BS broadcasting message is also used in the legacy grant-based RA, we call the new RA scheme as a hybrid-grant RA. We investigate the hybrid-grant RA in massive multiple-input multiple-output (MIMO) systems and obtain a tight closedform approximation of the spectral efficiency with maximum-ratio-combing (MRC) and zero-forcing (ZF) receivers, respectively. Via simulation, we find that our proposed hybrid-grant RA can obtain a significant gain on the spectral efficiency compared with grant-free RA, especially for ZF receivers. In particular, this gain grows rapidly as the UE number goes up, which means the hybrid-grant RA is more suitable for the system with large amount of UEs and it is a typical scenario in future communications networks. Moreover, we also analyze the optimal pilot length and UE activation probability that maximize the spectral efficiency, which can be used as references for the practical application of the proposed hybrid-grant RA.

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Wireless Wide-Area Networks for Internet of Things: An Air Interface Protocol for IoT and a Simultaneous Access Channel for Uplink IoT Communication

Cited by 36 publications

References 6 publications

Survey of radio resource management issues and proposals for energy-efficient cellular networks that will cover billions of machines

Survey of radio resource management issues and proposals for energy-efficient cellular networks that will cover billions of machines

Reliable Transmission Control Scheme Based on FEC Sensing and Adaptive MIMO for Mobile Internet of Things

A Hybrid-Grant Random Access Scheme in Massive MIMO Systems for IoT

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