A Novel Adaptive Modulation Based on Nondata-Aided Error Vector Magnitude in Non-Line-Of-Sight Condition of Wireless Sensor Network

Yang, Fan; Zeng, Xiaoping; Mao, Haiwei; Jian, Xin; Tan, Xiaoheng; Du, Dingyuan

doi:10.3390/s18010229

Cited by 6 publications

(5 citation statements)

References 29 publications

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“…Yang et al [16] addressed the problem of the lower spectral efficiency in non-line-of-sight (NLOS) transmission of WSN. Therefore, they proposed a novel nondata-aided error vector magnitude based adaptive modulation (NDA-EVM-AM) to solve the problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy-Efficient Cluster-Based Wireless Sensor Networks Using Adaptive Modulation: Performance Analysis

Abu-Baker¹,

Alshamali

Shawaheen

2021

IEEE Access

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Wireless Sensor Networks (WSNs) play a vital role in modern technology since they have recently emerged into enormous essential applications of the Internet of Things (IoT). However, WSNs encounter a shortage in the lifetime due to limitations in the power supply. Accordingly, many solutions are reported in literature to deal with energy saving problem in the WSNs. In this paper, a novel method is presented to minimize energy consumption using adaptive modulation that is jointly integrated with clustering technique. This method is considered as a promising solution for dense and sparse cluster-based WSNs to improve energy efficiency. In the suggested solution, the adaptive modulation is implemented in the communication link between cluster members (CMs) and cluster head (CH). Besides, distancebased adaptive modulation step function is proposed in which the optimum modulation order is selected to achieve the minimum energy consumption between CMs and CH. The proposed method is evaluated extensively in order to investigate the impact of adaptive modulation in cluster-based WSNs using M-ary Quadrature Amplitude Modulation (MQAM) system. The performance evaluation addresses both energy consumption and throughput by using two metrics: cluster density, and cluster size. Regarding simulation results, by varying cluster density and cluster size, the adaptive modulation shows significant saving in energy consumption where it constitutes a lower bound for energy consumption. Also, it shows a great impact on throughput where it constitutes an upper bound for the throughput. Moreover, the adaptive modulation shows a considerable leverage on energy saving for small number of clusters, conversely, the energy saving decreases as the number of clusters increase. Finally, it is concluded that these findings can provide a remarkable guidance for designing an energy efficient WSNs.

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Section: Literature Reviewmentioning

confidence: 99%

Energy-Efficient Cluster-Based Wireless Sensor Networks Using Adaptive Modulation: Performance Analysis

Abu-Baker¹,

Alshamali

Shawaheen

2021

IEEE Access

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“…The simulated channel model is the η − µ fading channel, and the data frame format is reference to Physical Uplink Shared Channel (PUSCH) specified in the 3GPP LTE-Hi standard [10], [17].…”

Section: Mqam (Including Qam 16qam 64qam and 256qam)mentioning

confidence: 99%

“…However, the calculation of BER requires long-term statistical computations, and SNR estimation requires many known data sequences (e.g., preambles an d pilots). When the communication over rapidly time-varying channels, the traditional estimations will make a non-real-time error because of the fixed time interval between these known data sequences [10]. Moreover, the D2D transmission is sensitive to fading channels.…”

mentioning

confidence: 99%

“…This paper proposes the nondata-aided error vector magnitude (NDA-EVM) as a new performance metric for evaluating the quality of the generalized η − µ channels. NDA-EVM reflects the error between the received symbol and the transmitted symbol [10], [11].…”

mentioning

confidence: 99%

“…The characteristic of NDA-EVM shows that it is sensitive to the degradation of fading channels, which is important for real-time tracking channel changes. Even when the packet reception fails, some achievable system performance (e.g., the symbol error rate (SER), throughput and outage probability) can also be inferred by NDA-EVM [10], [12]. Thus, it is preferable to use NDA-EVM to characterize system performance in D2D communications.…”

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confidence: 99%

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Nondata-Aided Error Vector Magnitude Analysis of $\eta-\mu$ Fading Channels in Device-to-Device Communications

et al. 2019

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Transmission in non-line-of-sight (NLOS) conditions has a poor throughput in device-to-device (D2D) communications. In order to achieve high throughput, adaptive modulation has been selected as a spectrally-efficient transmission technology. Moreover, quantifying the performance of a fading channel in NLOS conditions becomes a core issue. In general, the η − µ distribution can be employed to characterize and model the NLOS fading channel. Effective evaluating the quality of η − µ channels can provide an efficient theoretical reference for determining the optimum switching thresholds in adaptive modulation. However, due to the sensitivity of D2D transmission to fading channels, providing an efficient theoretical benchmark for evaluating, the quality of η − µ channels is still a challenge in transmission design. In this paper, the nondata-aided error vector magnitude (NDA-EVM) is considered as a novel metric to evaluate the quality of wireless fading channels. Specifically, the NDA-EVM of the multilevel quadrature amplitude modulation (MQAM) signals over η−µ fading channels and its lower bound is analytically derived. This can be used to further determine the optimum switching thresholds in adaptive modulation in NLOS conditions. The numerical results validate the effectiveness of the proposed formulation and also reveal the influence of the channel parameters on the lower bound of the NDA-EVM. INDEX TERMS η − µ fading channels, D2D, NLOS, nondata-aided error vector magnitude, lower bound. I. INTRODUCTION Device-to-device (D2D) communication is one of the key techniques in the 5th generation (5G) wireless communication systems that allows direct communication between mobile nodes [1]. However, D2D transmission schemes are sensitive to channel conditions and provide poor throughput in Non-line-of sight (NLOS) scenarios [2]. Adaptive modulation can select the optimal modulation parameters relative to the channel characteristics, which can provide an effective leverage to achieve high throughput [3]. Hence, quantifying the performance of a fading channel in NLOS conditions is a core issue of adaptive modulation in D2D communications. The associate editor coordinating the review of this manuscript and approving it for publication was Rui Wang.

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H.264/AVC Video Transmission over UWB AV PHY IEEE 802.15.3c using UEP and Adaptive Modulation Techniques

Abdallah¹,

Zribi²,

Dziri³

et al. 2019

2019 International Conference on Advanced Communication Technologies and Networking (CommNet)

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A Novel Adaptive Modulation Based on Nondata-Aided Error Vector Magnitude in Non-Line-Of-Sight Condition of Wireless Sensor Network

Cited by 6 publications

References 29 publications

Energy-Efficient Cluster-Based Wireless Sensor Networks Using Adaptive Modulation: Performance Analysis

Energy-Efficient Cluster-Based Wireless Sensor Networks Using Adaptive Modulation: Performance Analysis

Nondata-Aided Error Vector Magnitude Analysis of $\eta-\mu$ Fading Channels in Device-to-Device Communications

H.264/AVC Video Transmission over UWB AV PHY IEEE 802.15.3c using UEP and Adaptive Modulation Techniques

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