Modeling and Analysis of Energy Consumption for RF Transceivers in Wireless Cellular Systems

Mahmood, Farhad E.; Perrins, Erik; Liu, Lingjia

doi:10.1109/glocom.2014.7417709

Cited by 3 publications

(5 citation statements)

References 10 publications

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“…The total power consumption of these prototypes has been demonstrated to be on the order of 1 mW [30], which can be readily sustained using a small battery. In comparison, the power consumption of active relays, as presented by [32] and [33], is up to several hundred mW. Therefore, the DF backscatter operation is justified by its ultra-low-power implementation of decoding circuits.…”

Section: System Modelmentioning

confidence: 99%

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Performance Characterization of Relaying Using Backscatter Devices

Jia

Zhou

2020

IEEE Open J. Commun. Soc.

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In this paper, we examine the error performance of backscatter communication in the presence of ambient interference, where the backscatter device acts as a relay. Specifically, the performance comparison of amplify-and-forward (AF) and decode-and-forward (DF) backscatter relaying is considered for the first time. Considering energy-based detection for on-off keying (OOK) modulation, we derive the statistics of the received signal power, from which the detection thresholds and corresponding bit error rates (BER) are obtained analytically. For the DF scheme, we allow the source node to transmit continuous-wave signals during the relay-todestination transmission phase to power the backscatter relay. Under a total power budget constraint at the source, we optimize the power allocation for the transmissions in the source-to-relay and relay-to-destination phases. Numerical analysis shows that the DF scheme with optimal power allocation performs similarly compared to the AF scheme, despite the added complexity of the decoding operation. On the other hand, the AF scheme significantly outperforms the DF scheme when the reflection coefficients at the backscatter device do not correspond to perfect OOK. These results provide valuable insights into the design and deployment of backscatter nodes with the goal of improving coverage.

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Section: System Modelmentioning

confidence: 99%

“…where p are the source-to-relay and relay-todestination BERs, respectively. The BER for the AF scheme, denoted by p AF b , can be calculated directly using (33). For each link, two expressions for the BER exist, for when µ 0 < µ 1 and µ 0 > µ 1 .…”

Section: Ber Performance and Source Power Optimizationmentioning

confidence: 99%

Performance Characterization of Relaying Using Backscatter Devices

Jia

Zhou

2020

IEEE Open J. Commun. Soc.

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“…Extensive research has been done on estimating the power consumption of legacy BSs [9]- [12]. The work in [9] studies the energy efficiency in homogeneous macrocell and heterogeneous K-tier wireless networks under different sleeping policies.…”

Section: Introductionmentioning

confidence: 99%

“…green design of the radio frequency chain, the use of simplified transmitter/receiver structures). In other works like [11], [12], the focus is on the energy-efficient design of power amplifiers.…”

Section: Introductionmentioning

confidence: 99%

ML Approach for Power Consumption Prediction in Virtualized Base Stations

Dzaferagic

Ayala‐Romero

Ruffini

2022

2022 IEEE Globecom Workshops (GC Wkshps)

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The flexibility introduced with the Open Radio Access Network (O-RAN) architecture allows us to think beyond static configurations in all parts of the network. This paper addresses the issue related to predicting the power consumption of different radio schedulers, and the potential offered by O-RAN to collect data, train models, and deploy policies to control the power consumption. We propose a black-box (Neural Network) model to learn the power consumption function. We compare our approach with a known hand-crafted solution based on domain knowledge. Our solution reaches similar performance without any previous knowledge of the application and provides more flexibility in scenarios where the system behavior is not well understood or the domain knowledge is not available.

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“…Devices are required to be low cost, and have a very long battery life requiring energy-efficient communication and computing. For the communication side, it is shown that local/short-range communication could significantly improve both the energy efficiency and spectral efficiency of a wireless system when circuit energy consumption is considered [12][13][14]. For the computing side, the recent developed concept of neuromorphic computing/ reservoir computing can be a great candidate to significantly reduce the energy consumption [15,16].…”

Section: Introductionmentioning

confidence: 99%