Adaptive Channel Coding and Modulation Scheme Selection for Achieving High Throughput in Wireless Networks

Sharif, Atif; Potdar, Vidyasagar; Ahmad, Rana Fayyaz

doi:10.1109/waina.2010.197

Cited by 12 publications

(7 citation statements)

References 12 publications

(7 reference statements)

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“…LPWAN in general and NB-IoT in particular, demand reliable data communication at high throughput in severe channel conditions like narrowband interference, frequency selective fading due to multipath and attenuation of high frequencies [61].…”

Section: Data Rate Enhanced Nb-iot Modulation Selection Schemesmentioning

confidence: 99%

The Narrowband Internet of Things (NB-IoT) Resources Management Performance State of Art, Challenges, and Opportunities

2020

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The Narrowband Internet of Things (NB-IoT) has been introduced in the 3rd Generation Partnership Project (3GPP) Rel-13 with the aim to provide low-cost, low-power, wide-area cellular connectivity for the Internet of Things. With the exponentially increasing number of connected wireless devices in the order of 100 billion, it has become crucial that researchers develop efficient resource management techniques to meet the 5 th Generation (5G) quality of service (QoS) requirements. Recently, several research challenges including the low modulation data rates, energy-expensive channel coding techniques, and the fast-growing number of connected devices have been identified as some of the main issues encountered in the design and deployment of NB-IoT systems. In addition, several techniques have emerged in the literature to resolve some of these challenges of NB-IoT systems. However, the research activities towards the enhancement of the NB-IoT resource management are yet to continue in the next half-decade before, high data rates, energyefficient, and scalable NB-IoT specifications can be released for the standardisation and commercialisation. Considering the limited number of existing surveys of such technical enhancement approaches in a broader perspective (i.e. energy efficiency, data rate performance and scalability) and also the non-existence, to the best of our knowledge, of a comparative survey, this paper seeks to elaborate, describe and compare the performances of such resources management approaches. Of the multiple NB-IoT resources, the focus of this paper is on the data rate, energy efficiency, and scalability enhancement schemes that have been proposed for the last three years. The contribution of the paper lies in the analysis, synthesis, comparison and summarised alignments of some of the major existing schemes towards identifying challenges faced by the NB-IoT development. Finally, this work seeks to identify research challenges, open questions, and opportunities that could arise from the existing techniques analysed. INDEX TERMS Data rates, energy efficient, challenges, narrowband IoT (NB-IoT), opportunities, resources, scalability, reliability.

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Section: Data Rate Enhanced Nb-iot Modulation Selection Schemesmentioning

confidence: 99%

The Narrowband Internet of Things (NB-IoT) Resources Management Performance State of Art, Challenges, and Opportunities

2020

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“…Adaptive channel encoding and code rate is another adaptive technique that has been proposed to select the best encoder or the code rate according to the channel status, as presented in [5][6][7].…”

Section: Adaptive Techniquesmentioning

confidence: 99%

ARM-FPGA-based platform for reconfigurable wireless communication systems using partial reconfiguration

et al. 2017

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Today, wireless devices generally feature multiple radio access technologies (LTE, WIFI, WIMAX, ...) to handle a rich variety of standards or technologies.These devices should be intelligent and autonomous enough in order to either reach a given level of performance or automatically select the best available wireless technology according to standards availability. On the hardware side, system on chip (SoC) devices integrate processors and field-programmable gate array (FPGA) logic fabrics on the same chip with fast inter-connection. This allows designing software/hardware systems and implementing new techniques and methodologies that greatly improve the performance of communication systems. In these devices, Dynamic partial reconfiguration (DPR) constitutes a well-known technique for reconfiguring only a specific area within the FPGA while other parts continue to operate independently. To evaluate when it is advantageous to perform DPR, adaptive techniques have been proposed. They consist in reconfiguring parts of the system automatically according to specific parameters. In this paper, an intelligent wireless communication system aiming at implementing an adaptive OFDM-based transmitter and performing a vertical handover in heterogeneous networks is presented. An unified physical layer for WIFI-WIMAX networks is also proposed. The system was implemented and tested on a ZedBoard which features a Xilinx Zynq-7000-SoC. The performance of the system is described, and simulation results are presented in order to validate the proposed architecture.

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“…In 3GPP standardization, repeating transmission data and the associated control signaling several times has been utilized as a base solution to achieve coverage enhancement for NB-IoT [ 6 ]. However, repeated transmissions come with a multiplicative energy cost as it has been demonstrated by several wireless networks energy consumption modeling studies such as [ 7 , 8 ] which showed that the major contributors to the overall average energy consumption of a wireless network are the energy consumed during transmission as well as the energy consumed during reception. This can be represented as

where

is the energy consumed by the transceiver circuit on single wireless link,

is the transmission power,

is the reception power, M is the uplink packet size in bits, B is the transmission bit rate, and

is the probability of successful transmission.…”

Section: Introductionmentioning

confidence: 99%

An Energy-Efficient and Adaptive Channel Coding Approach for Narrowband Internet of Things (NB-IoT) Systems

Migabo

Djouani

Kurien

2020

Sensors

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Most of the current research work on the Narrowband Internet of Things (NB-IoT) is focused on enhancing its network coverage. Many of the existing NB-IoT channel coding techniques are based on repeating transmission data and control signals as a way of enhancing the network’s reliability and therefore, enabling long-distance transmissions. Although most of these efforts are made at the expense of reducing the energy consumption of the NB-IoT network, they do not always consider the channel conditions. Therefore, this work proposes a novel NB-IoT Energy-Efficient Adaptive Channel Coding (EEACC) scheme. The EEACC approach is a two-dimensional (2D) approach which not only selects an appropriate channel coding scheme based on the estimated channel conditions (dynamically classified as bad, medium or good from initial based on a periodically assessed BLER performance outcome) but also minimizes the transmission repetition number under a pre-assessed probability of successful transmission (based on the ratio of previous successful transmissions over the total number of transmissions). This results in creating a single mixed gradient based on which a higher or lower Modulating Coding Scheme (MCS) is selected on each transmission. It is aimed at enhancing the overall energy efficiency of the network by dynamically selecting the appropriate Modulation Coding Scheme (MCS) number and efficiently minimizing the transmission repetition number. Link-level simulations are performed under different channel conditions (good, medium, or bad) considerations to assess the performance of the proposed up-link adaptation technique for NB-IoT. The obtained results demonstrate that the proposed technique outperforms the existing Narrowband Link Adaptation (NBLA) as well as the traditional repetition schemes in terms of the achieved energy efficiency as well as network reliability, latency, and scalability.

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Adaptive Channel Coding and Modulation Scheme Selection for Achieving High Throughput in Wireless Networks

Cited by 12 publications

References 12 publications

The Narrowband Internet of Things (NB-IoT) Resources Management Performance State of Art, Challenges, and Opportunities

The Narrowband Internet of Things (NB-IoT) Resources Management Performance State of Art, Challenges, and Opportunities

ARM-FPGA-based platform for reconfigurable wireless communication systems using partial reconfiguration

An Energy-Efficient and Adaptive Channel Coding Approach for Narrowband Internet of Things (NB-IoT) Systems

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