Power-throughput tradeoffs of 802.11n/ac in smartphones

Saha, Swetank Kumar; Deshpande, P. S.; Inamdar, Pranav P.; Sheshadri, Ramanujan K.; Koutsonikolas, Dimitrios

doi:10.1109/infocom.2015.7218372

Cited by 45 publications

(39 citation statements)

References 15 publications

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“…It can be seen that the older air interfaces behave according to Equations (5) and (6), including the LTE device model in [19] and the 802.11g model in the same paper. The more recent 802.11n model that was defined in [30] based on measurements reported in [20] is quite flat. [20,30] WiFi, 802.11n 6 4 β rx = 450, β tx = 980 [32] 802.11ac~2100 mW *~2500mW * 287 [32] 802.11ad~2100 mW *~2000 mW * 1938 * Over a large bit rate range the power consumption is quite flat in recent 802.11ac and ad interfaces.…”

Section: Wifi Power Consumption Modelsmentioning

confidence: 99%

“…The more recent 802.11n model that was defined in [30] based on measurements reported in [20] is quite flat. [20,30] WiFi, 802.11n 6 4 β rx = 450, β tx = 980 [32] 802.11ac~2100 mW *~2500mW * 287 [32] 802.11ad~2100 mW *~2000 mW * 1938 * Over a large bit rate range the power consumption is quite flat in recent 802.11ac and ad interfaces. The most recent 802.11ac and 802.11ad measurements given in [32] show that both receiver power consumption and transmitter power consumption are almost flat, regardless of the bit rate.…”

Section: Wifi Power Consumption Modelsmentioning

confidence: 99%

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Review of Latest Advances in 3GPP Standardization: D2D Communication in 5G Systems and Its Energy Consumption Models

2018

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Device-to-device (D2D) communication is an essential part of the future fifth generation (5G) system that can be seen as a "network of networks," consisting of multiple seamlessly-integrated radio access technologies (RATs). Public safety communications, autonomous driving, socially-aware networking, and infotainment services are example use cases of D2D technology. High data rate communications and use of several active air interfaces in the described network create energy consumption challenges for both base stations and the end user devices. In this paper, we review the status of 3rd Generation Partnership Project (3GPP) standardization, which is the most important standardization body for 5G systems. We define a set of application scenarios for D2D communications in 5G networks. We use the recent models of 3GPP long term evolution (LTE) and WiFi interfaces in analyzing the power consumption from both the infrastructure and user device perspectives. The results indicate that with the latest radio interfaces, the best option for energy saving is the minimization of active interfaces and sending the data with the best possible data rate. Multiple recommendations on how to exploit the results in future networks are given.

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Section: Wifi Power Consumption Modelsmentioning

confidence: 99%

Section: Wifi Power Consumption Modelsmentioning

confidence: 99%

Review of Latest Advances in 3GPP Standardization: D2D Communication in 5G Systems and Its Energy Consumption Models

2018

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“…However, the standardized R10 code, which is a systematic version, has coding parameters of 4 ≤ k ≤ 8192 and k ≤ n ≤ 65, 546. The latest RQ can support up to 56,403 source symbols in a single source block and generate up to 2 24 encoded symbols [12]. This property makes Raptor codes desirable for carousel-based services since the probability of receiving duplicate symbols can be significantly reduced.…”

Section: Raptor Codesmentioning

confidence: 99%

“…As the code is systematic, the first k encoded symbols are the source (original) symbols. RQ codes can be used to generate 2 24 repair symbols from a source block, therefore the maximum number of repair symbols in the RQ software is set to 2 24 . Hence, each time a new encoded symbol is sent for each source block, duplicate packets are avoided at the receiver.…”

Section: Fec Data Carousel Modelmentioning

confidence: 99%

“…In practice, the peak application data rates are lower than the PHY data rates due to channel access delays, upper layer overheads and/or hardware bottlenecks and driver restrictions [24,25]. Therefore, in order to prevent transmission of data at rates higher than the mobile device is capable of receiving (the tablets dropped packets if they arrived too rapidly), we set the multicast server rate in Table 1 to be much lower than the peak PHY rate [26].…”

Section: Evaluation Parametersmentioning

confidence: 99%

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Multicast Wi-Fi Raptor-enabled data carousel design: simulation and practical implementation

Bulut

Berkovskyy

Zhang

et al. 2016

EURASIP J. Adv. Signal Process.

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Multicast is an efficient way of transmitting the same set of data to multiple interested users. Unlike the 3rd Generation Partnership Project (3GPP) cellular standards, for Wi-Fi, there is no standardised solution for reliable multicast data transmission. Multicast packets are delivered to multiple users as a broadcast service without support for automatic repeat request. Hence, multicast transmission often results in high packet loss. In order to improve the reliability of multicast delivery, a fixed low-speed (robust) transmission mode can be used. However, this results in the inefficient use of scarce and valuable radio bandwidth. This paper presents a reliable and efficient Wi-Fi multicast delivery solution for use in challenging outdoor environments. An application layer forward error correction (AL-FEC)-enabled data carousel is proposed to enhance reliability. For multicast transmission, we demonstrate that limitations in the Wi-Fi clients are a major source of packet loss, even in ideal channel conditions. Client limitations (particularly data rate limitations) were found to vary as a function of modulation and coding mode, Raptor code parameters and multicast server rate. Our initial Raptor-enabled carousel designs are based on computer simulations and lab-based trials. Analysis is then extended to field trials using a practical implementation of the recommended design. These trials were performed in central Bristol with parameters such as received signal level, packet loss traces and file download times recorded at the clients. Finally, we compare our site-specific simulated results against real-world measurements.

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Towards providing optimal energy‐efficiency and throughput for IEEE 802.11 WLANs

Tüysüz

2018

Int J Communication

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IEEE 802.11 wireless network standard has become one of the most used wireless networking technologies for smart devices as it offers mobility support and low cost deployment. However, these devices deeply rely on the energy provided by their batteries, which results in limited running time. IEEE 802.11 network standard provides stations with carrier sense multiple access with collision avoidance for the medium access. Yet it results in stations to consume an important amount of power. Therefore, minimizing WiFi-based energy consumption in smart devices has been received substantial attention in both academia and industry. Accordingly, this paper* proposes a novel beacon-based energy-efficient collision-free medium access control protocol for any type of

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Power-throughput tradeoffs of 802.11n/ac in smartphones

Cited by 45 publications

References 15 publications

Review of Latest Advances in 3GPP Standardization: D2D Communication in 5G Systems and Its Energy Consumption Models

Review of Latest Advances in 3GPP Standardization: D2D Communication in 5G Systems and Its Energy Consumption Models

Multicast Wi-Fi Raptor-enabled data carousel design: simulation and practical implementation

Towards providing optimal energy‐efficiency and throughput for IEEE 802.11 WLANs

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