scholarly journals Scalable internet of things network design using multi-hop IEEE 802.11ah

2021 ◽  
Author(s):  
Nurzaman Ahmed ◽  
Md. Iftekhar Hussain
Keyword(s):  
Internet Of Things ◽  
Network Design ◽  
Ieee 802.11Ah ◽  
Scalable Internet

Examining Current Standards for Cloud Computing and IoT

2018 ◽  
pp. 116-124 ◽  
Author(s):  
Yaman Parasher ◽  
Deepak Kedia ◽  
Prabhjot Singh
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Business Models ◽  
Future Internet ◽  
Internet Technologies ◽  
Scalable Internet ◽  
Current Standards

The advent of Cloud computing has acted as a catalyst for the design and deployment of scalable Internet of Things business models and applications. Therefore, IoT and Cloud are nowadays two very closely affiliated future internet technologies, which go hand in hand in non-trivial IoT deployments. Furthermore, most modern IoT ecosystems are cloud-based, as will be illustrated in the chapter. This chapter briefly introduces the main cloud computing and IoT standards.

Programmable IEEE 802.11ah Network for Internet of Things

2021 ◽  
Author(s):  
Nurzaman Ahmed ◽  
Arijit Roy ◽  
Sudip Misra ◽  
Deepaknath Tandur
Keyword(s):  
Internet Of Things ◽  
Ieee 802.11Ah

scholarly journals Improved ISR for IEEE 802.11ah Nonlinearity Compensation via Adjustable Constellation Borders

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1573
Author(s):  
Li Cho ◽  
Cheng-Yu Chen ◽  
Chau-Yun Hsu
Keyword(s):  
Computational Complexity ◽  
Internet Of Things ◽  
Bit Error Rate ◽  
Power Efficiency ◽  
Orthogonal Frequency Division Multiplexing ◽  
Frequency Division Multiplexing ◽  
Frequency Division ◽  
Receiver Side ◽  
Channel Quality ◽  
Ieee 802.11Ah

Iterative subcarrier regularization (ISR) has been recently proposed as a receiver-side remedy for orthogonal frequency division multiplexing (OFDM) nonlinearity. It allows the power amplifier of OFDM transmitters to operate at a lower input back-off for more efficient uplinks. However, the compensation ability cannot align with increasing channel quality, because the standard quadrature amplitude modulation (QAM) used in ISR may eliminate compensation due to erroneous decisions. To solve this issue, an improved version of ISR was proposed to flexibly adjust the constellation borders of QAM and numerically optimize it based on IEEE 802.11ah (hereinafter referred to as 802.11ah) specifications. Simulations show that the proposed scheme not only improves the converged bit error rate of ISR but also accelerates its own convergence, especially in a high channel quality, thereby achieving better power efficiency for Internet of Things clients without additional computational complexity.

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