E2ARC: Energy‐efficient adaptive resource block allocation with low complexity in device‐to‐device communication

Gandotra, Pimmy; Jha, Rakesh Kumar; Jain, Sanjeev

doi:10.1002/ett.3525

Cited by 2 publications

(3 citation statements)

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“…In [88], an energy-efficient scheme referred to as Energy-Efficient Adaptive Resource Block Allocation with Low Complexity (E2ARC) is implemented for adaptively allocating resources to the user. The scheme makes the system energy efficient by improving the throughput and reducing the power consumption.…”

Section: E Energy Efficient Techniquesmentioning

confidence: 99%

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A Survey on Beyond 5G Network With the Advent of 6G: Architecture and Emerging Technologies

2021

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Nowadays, 5G is in its initial phase of commercialization. The 5G network will revolutionize the existing wireless network with its enhanced capabilities and novel features. 5G New Radio (5G NR), referred to as the global standardization of 5G, is presently under the 3 rd Generation Partnership Project (3GPP) and can be operable over the wide range of frequency bands from less than 6GHz to mmWave (100GHz). 3GPP mainly focuses on the three major use cases of 5G NR that are comprised of Ultra-Reliable and Low Latency Communication (uRLLC), Massive Machine Type Communication (mMTC), Enhanced Mobile Broadband (eMBB). For meeting the targets of 5G NR, multiple features like scalable numerology, flexible spectrum, forward compatibility, and ultra-lean design are added as compared to the LTE systems. This paper presents a brief overview of the added features and key performance indicators of 5G NR. The issues related to the adaptation of higher modulation schemes and inter-RAT handover synchronization are well addressed in this paper. With the consideration of these challenges, a next-generation wireless communication architecture is proposed. The architecture acts as the platform for migration towards beyond 5G/6G networks. Along with this, various technologies and applications of 6G networks are also overviewed in this paper. 6G network will incorporate Artificial intelligence (AI) based services, edge computing, quantum computing, optical wireless communication, hybrid access, and tactile services. For enabling these diverse services, a virtualized network slicing based architecture of 6G is proposed. Various ongoing projects on 6G and its technologies are also listed in this paper.

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Section: E Energy Efficient Techniquesmentioning

confidence: 99%

“…It is required to implement various new techniques that can optimize the power consumption level of the devices and enhance the energy efficiency of the network. Techniques like E2ARC will help in optimizing the power consumption level of devices [88].…”

Section: Low Power Consumptionmentioning

confidence: 99%

A Survey on Beyond 5G Network With the Advent of 6G: Architecture and Emerging Technologies

2021

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“…EAKES6Lo 18 scheme has been proposed for secure authentication of 6LoWPAN network in M2M communications, where a session key is established between both devices by the remote server. Similar to M2M communication, an adaptive resource block allocation technique based on HMM 19 can reduce the energy consumption with low complexity device-to-device (D2D) communication as well as cluster-based NB-IoT cellular networks. 20 Other existing solutions aiming to secure M2M communications have been discussed in Reference 21 and briefly given the ETSI M2M architecture.…”

Section: Application-based Security Attacksmentioning

confidence: 99%

ANGUISH: Security attack in narrowband‐Internet of Things (NB‐IoT) using game theory and hardware analysis

Kumar

Jha

Jain

2020

Trans Emerging Tel Tech

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In recent years, the Internet of Things (IoT) plays a vital role in our daily life.IoT is dominating in many areas like industries, health care, smart home, social network, defense sector, and the education sector. In the last couple of years, users are facing different challenges like security issues related to social network and defense sector. In this article, our prime focus is to secure the social and defense network associated with narrowband-Internet of Things. This article proposes the artificial intelligence (AI)-based defense security attacks using unmanned aerial vehicle (UAV). In the first part of the article, we have proposed attack modeling on smart home scenario and finalize the critical parameter for performance analysis. In the next section, the performance analysis based on game theory (GT) (AI based) approach is attained, using different techniques like nash equilibrium and Prisoner's dilemma. In the last section, detailed hardware analysis has been carried out for analyzing attack in real-time scenario and is illustrated with the help of step-by-step process. Our proposed model proves that UAV-based router can spoof by the intruder with the probability of 0.4 using GT and hardware analysis. INTRODUCTIONThe evolution of IoT started with radio frequency identification (RFID), which is vastly used in various applications like supply chain management, object tracking, and asset tracking. Other than RFID, wireless sensor network (WSN), machine to machine (M2M), software-defined networking (SDN), supervisory control and data acquisition (SCADA), cloud computing, and embedded computing are numerous technologies that also support the IoT. All these technologies are used for the different applications of IoT, such as smart homes, smart cities, smart grid, wearables, connected healthcare, smart agriculture, industrial Internet, and connected car. The advancement in IoT has different challenges like energy efficiency, spectrum utilization, a massive amount of sensors generated data, device heterogeneity, and data security. The usage of energy-efficient, low power wide area network (LPWAN) radio technologies is increasing gradually. These technologies are licensed as well as unlicensed. Unlicensed spectrum technologies such as long range (LoRa), INGENU, and SIGFOX, while licensed spectrum consists of long-term evolution-machine-type communication s(LTE-M), and NB-IoT. NB-IoT is the energy-efficient technology standard defined by 3rd Generation Partnership Project (3GPP) in release 13. It fulfills the critical requirement of IoT like low-device complexity, extended battery lifetime, deep indoor coverage, and a massive number of two-way communication of device support per cell. 1 NB-IoT is used to achieve the outstanding performance of GSM and LTE technologies and entails a minimum of 180 kHz system bandwidth for both downlink and uplink channel. 2 The uplink communication channel uses single-carrier frequency division Trans Emerging Tel Tech.

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E2ARC: Energy‐efficient adaptive resource block allocation with low complexity in device‐to‐device communication

Cited by 2 publications

References 48 publications

A Survey on Beyond 5G Network With the Advent of 6G: Architecture and Emerging Technologies

A Survey on Beyond 5G Network With the Advent of 6G: Architecture and Emerging Technologies

ANGUISH: Security attack in narrowband‐Internet of Things (NB‐IoT) using game theory and hardware analysis

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