Energy Consumption Analysis for Adaptive Transmission of Big Data Over Fading Channels: A Statistical Characterization

Wang, Wenjing; Yang, Hong-Chuan; Alouini, Mohamed‐Slim

doi:10.1109/tgcn.2019.2959077

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…To best satisfy the QoS requirement of individual IoT transmission sessions while achieving high energy efficiency, the transmission scheme needs to be designed from individual transmission session perspective [12], [14]. To our best knowledge, the only other work that analyzes the energy consumption of individual data transmission session is [15], where the energy consumption of an adaptive modulation and coding system was analyzed when transmitting a large amount of data. However, [12], [14], [15] only focus on point to point transmission scenario.…”

Section: A Previous Workmentioning

confidence: 99%

“…To our best knowledge, the only other work that analyzes the energy consumption of individual data transmission session is [15], where the energy consumption of an adaptive modulation and coding system was analyzed when transmitting a large amount of data. However, [12], [14], [15] only focus on point to point transmission scenario. In this work, we extend previous work by considering relay transmission systems with wireless power transfer.…”

Section: A Previous Workmentioning

confidence: 99%

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Ultragreen Relay Transmission With Wireless Power Transfer for Advanced IoT: Session-Specific Analysis and Optimization

Yang

Alouini

2023

IEEE Internet Things J.

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Reliable and energy-efficient wireless transmission is of critical importance to the success of future advanced Internet of Things (IoT). Due to the sporadic nature of IoT transmissions, the energy consumption of the individual IoT transmission session varies dramatically with the instantaneous operating environment as well as the quality of service (QoS) requirements. In this paper, we analyze and design the energyefficient relay transmission systems from an individual data transmission session perspective. Specifically, we consider a dualhop transmission system with a decode-and-forward relay that is solely powered by wireless power transfer from source node. For both time switching and power splitting modes of simultaneous power and information transmission, we analyze and minimize the total energy consumption of the system when transmitting a fixed amount of data, under a piecewise linear energy harvesting (EH) model. Closed-form expressions for optimal transmission parameters are obtained with and without the consideration of latency constraint. Through selected numerical results, we illustrate various design tradeoffs between energy consumption and latency constraint. We show that with optimal transmission parameters, relay transmission with energy transfer can achieve considerable energy saving compared to direct transmission when the direct link quality is poor and the latency constraint is not stringent. We also show that with optimized parameters, power splitting mode leads to lower energy consumption and smaller transmission duration than time switching mode, at the cost of higher implementation complexity.

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Section: A Previous Workmentioning

confidence: 99%

Section: A Previous Workmentioning

confidence: 99%

Ultragreen Relay Transmission With Wireless Power Transfer for Advanced IoT: Session-Specific Analysis and Optimization

Yang

Alouini

2023

IEEE Internet Things J.

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“…The general interplay between big data and communication networks, as well as some open problems in the field are elaborated in [6], [47]. The work in [48] utilizes channel state information statistics to obtain the distribution of energy consumed in big data transmissions. In [49], big data transmission requirements in the context of internet of things (IoT) are investigated in terms of expected delay, data length, link's capacity and load.…”

Section: ) Big Data Transmissionmentioning

confidence: 99%

Globally Optimal Resource Allocation and Time Scheduling in Downlink Cognitive CRAN Favoring Big Data Requests

et al. 2022

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This paper is concerned with a cognitive cloud radio access network (CRAN) with a special attention to efficient and reliable transmission of big data. In particular, the paper focuses on optimizing performance of secondary users (SUs) in the downlink. Existing approaches either try to maximize the number of accepted SUs or the sum data rate of accepted SUs. The first approach unfairly favors users with small data requests, whereas the second approach allocates most resources to users with better channel conditions. In contrast, this paper develops a novel approach that favors big data requests while simultaneously maintaining a certain degree of fairness among SUs. To this end, we first introduce a novel objective function that allows us to jointly optimize deadline-aware time scheduling, spectrum allocation, SU selection, and remote radio head (RRH) allocation for SUs. Second, we demonstrate that finding the global optimum solution for the formulated problem entails the enumeration of all colorful independent sets on a generalized interval graph which is known to be NP-hard. Third, we propose a dynamic programming (DP) approach which yields the global optimum solution at a reduced computational cost. Fourth, we analyze the complexity of the proposed DP approach and numerically compare its performance against existing baseline algorithms. Numerical and simulation results revealed that our solution favors big data users while incurring only a small degradation in the fairness index. Our proposed solution is practical for small-to-medium size networks. Furthermore, it offers a benchmark against which any new sub-optimal low-complexity algorithm can be compared to determine how far from the global optimum its performance is.

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Statistical Energy Efficiency Characterization for Wireless Transmission Over Fading Channels

Yang

Alouini

2020

IEEE Trans. Veh. Technol.

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Energy Consumption Analysis for Adaptive Transmission of Big Data Over Fading Channels: A Statistical Characterization

Cited by 4 publications

References 30 publications

Ultragreen Relay Transmission With Wireless Power Transfer for Advanced IoT: Session-Specific Analysis and Optimization

Ultragreen Relay Transmission With Wireless Power Transfer for Advanced IoT: Session-Specific Analysis and Optimization

Globally Optimal Resource Allocation and Time Scheduling in Downlink Cognitive CRAN Favoring Big Data Requests

Statistical Energy Efficiency Characterization for Wireless Transmission Over Fading Channels

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