Power Consumption Modeling of Discontinuous Reception for Cellular Machine Type Communications

Mehmood, Yasir; Zhang, Lei; Förster, Anna

doi:10.3390/s19030617

Cited by 8 publications

(7 citation statements)

References 22 publications

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“…- 20 Philip and Malarkodi (2019) 14 -- 16 Verma et al 17 Philip and 11 Wu and Park (2021) After service completion of each data packet, the UE enters the inactive state for a random duration of time. At the expiry of the inactive duration, if any data packets are found in the buffer, the UE moves to the ON period.…”

Section: Md-drx Mechanism For Lte-5gmentioning

confidence: 99%

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Stochastic modeling for energy efficiency in modified directional discontinuous reception for LTE‐5G networks

Kalita

Selvamuthu

2023

Int J Communication

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Fifth-generation (5G) networks deal with high-frequency data rates, ultra-low latency, more reliability, massive network capacity, more availability, and a more uniform user experience. To validate the high-frequency rates, 5G networks engage beam searching operation. By adopting a beam searching state between the short and long sleep, one can reduce the system's delay. The energy consumption of user equipment (UE) in 5G networks is much higher than in the 4G networks. To reduce the energy consumption and increase the energy saving in UE, Long-Term Evolution (LTE)-5G networks adopt the discontinuous reception (DRX) scheme with a fixed number of short sleep. LTE-DRX without beam search operation (i.e., beam alignment) cannot work in 5G networks. Hence, keeping this scenario in mind, we have modeled a new modified directional discontinuous reception (MD-DRX) mechanism for LTE-5G networks. The MD-DRX mechanism captures the behavior of a beam searching, an inactive, an active, a long sleep, an ON, and a short sleep states.The short sleep state consists of a maximum M short sleep. To get the optimal energy saving and energy consumption (i.e., energy efficiency) from the MD-DRX mechanism, it is required to check the system's throughput. The trade-off between energy saving/energy consumption and throughput will provide the system's optimal energy saving and optimal energy consumption. In this paper, we have obtained the system's optimal energy saving and throughput by optimizing the maximum short sleep and short sleep duration. To get the energy efficiency for LTE-5G networks, the trade-off between average energy consumption/energy saving and throughput is shown.

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Section: Md-drx Mechanism For Lte-5gmentioning

confidence: 99%

“…In MTC, intelligent machines can communicate with each other. Mehmood et al 16 has used the DRX mechanism in MTC devices to deal with energy‐saving factors and wake‐up latency. For the analytical model, they have used SMM.…”

Section: State Of the Artmentioning

confidence: 99%

Stochastic modeling for energy efficiency in modified directional discontinuous reception for LTE‐5G networks

Kalita

Selvamuthu

2023

Int J Communication

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“…The impact of DRX parameters on power-saving and wake-up delay metrics was investigated in [19] using Markov chains. Instead, semi-Markov processes were used in [20] and [21]. In particular, the latter studies the DRX mechanism in the context of Machine Type Communication (MTC).…”

Section: Energy Models Of Lte Interfacesmentioning

confidence: 99%

Edge Computing vs Centralized Cloud: Impact of Communication Latency on the Energy Consumption of LTE Terminal Nodes

Caiazza¹,

Giordano²,

Luconi³

et al. 2021

Preprint

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Edge computing brings several advantages, such as reduced latency, increased bandwidth, and improved locality of traffic. One aspect that is not sufficiently understood is the impact of the different communication latency experienced in the edge-cloud continuum on the energy consumption of clients. We studied how a request-response communication scheme is influenced by different placements of the server, when communication is based on LTE. Results show that by accurately selecting the operational parameters a significant amount of energy can be saved.

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“…In order to conserve power, they have analyzed the connection release and re‐establishment of radio resource control along with the augmentation of an optimistic flag. A comprehensive semi‐Markov model to scrutinize the power consumption of DRX mechanism in cellular MTC is proposed by Mehmood et al 29 They have introduced low, maximum, and minimum power consumption states and RRC connection setup and release states in the semi‐Markov model along with the normal DRX process. In 5G M2M communication, Ho et al 17 evaluated the effect of a beam‐aware mechanism.…”

Section: Related Workmentioning

confidence: 99%

Beam‐aware energy harvesting discontinuous reception in machine‐to‐machine millimeter‐wave 5G communications

Philip

Balakrishnan

2020

Int J Communication

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Machine-to-machine (M2M) communication interconnects a large number of machines to exchange information in a network. These battery operated devices exhaust their energy after continuous usage for a long period of time. Discontinuous reception (DRX) standardized by the third generation partnership project (3GPP) is an efficient power saving protocol used in wireless networks. The power saving achieved by the DRX mechanism is often compromised with the ensuing buffering delay suffered by the packets. DRX mechanism with energy harvesting improves the performance of the M2M devices by exploiting the extra sleep cycles yielded by the harvested energy. However, the operation of the energy harvesting-DRX (EH-DRX) in the fifth generation (5G) millimeter-wave (mm-wave) systems with beamforming results in poor performance metrics. Beamforming is used in 5G mm-wave networks for a base station to communicate with a group of devices situated in a particular direction. In this paper, an analytical model is devised by merging a beam-aware mechanism with the EH-DRX in the M2M mm-wave 5G networks to improve the energy efficiency. As a result, the power saving at the user equipment (UE)/M2M device is enhanced by 16% by the proposed method compared with the original EH-DRX mechanism.

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Power Consumption Modeling of Discontinuous Reception for Cellular Machine Type Communications

Cited by 8 publications

References 22 publications

Stochastic modeling for energy efficiency in modified directional discontinuous reception for LTE‐5G networks

Stochastic modeling for energy efficiency in modified directional discontinuous reception for LTE‐5G networks

Edge Computing vs Centralized Cloud: Impact of Communication Latency on the Energy Consumption of LTE Terminal Nodes

Beam‐aware energy harvesting discontinuous reception in machine‐to‐machine millimeter‐wave 5G communications

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