Communication challenges in high-density deployments of wearable wireless devices

Pyattaev, Alexander; Johnsson, Kerstin; Andreev, Sergey; Koucheryavy, Yevgeni

doi:10.1109/mwc.2015.7054714

Cited by 75 publications

(47 citation statements)

References 10 publications

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“…These functionalities becoming available to the mainstream market lead to an array of new possibilities and functionalities. When thinking about applications for wearables, the collection of movement and heart rate data is very straightforward [12]. As such, wearables could be a significant boon to mHealth technologies [13].…”

Section: What Are Wearables?mentioning

confidence: 99%

“…The success and growth of gamification apps, especially with health and fitness functionalities together with the development of new technologies and the growing ability to equip small devices with new technology for the mainstream market lead to a new group of products which can be worn [12] in which the tech world is creating a future of wearable devices. They promise to entertain consumers and help in adopting a healthier lifestyle.…”

Section: Adoption Of Wearablesmentioning

confidence: 99%

“…Wearables (e.g., smart watches; cf. section 2.1) directly build on the success of smartphones, offering extensive health-related functionality usually not found in smartphones and other mobile devices (e.g., the ability to collect physical body data like heart rates) [6,12]. While the functionality of health related software applications (i.e., health and fitness apps) on smartphones is already quite impressive today, wearables have the potential to further enhance this trend due to manufacturers of wearable devices massively focusing on health monitoring and the promotion of healthy lifestyles.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Adoption of Wearables for a Healthy Lifestyle: Can Gamification Help?

Spil¹,

Sunyaev²,

Thiebes³

et al. 2017

Proceedings of the Annual Hawaii International Conference on System Sciences

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Section: What Are Wearables?mentioning

confidence: 99%

Section: Adoption Of Wearablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Adoption of Wearables for a Healthy Lifestyle: Can Gamification Help?

Spil¹,

Sunyaev²,

Thiebes³

et al. 2017

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Mmwave communications leverage potentially available spectrum from 30 GHz to 300 GHz to provide high data rates, thus being considered for many applications including personal area network (PAN) (e.g., WirelessHD [5]), wireless local area networks (WLAN) (e.g., IEEE 802.11ad [6]), vehicular communications associated with radar [7] and wearable networks [8]. In recent years, the massive multiple-input multiple-output (MIMO) which This work was supported by Australian Research Council Discovery Projects DP140100522 and DP160101693, also by iVEC (http://www.ivec.org) through the use of advanced computing resources.…”

Section: Introductionmentioning

confidence: 99%

A low cost interpolation based detection algorithm for medium-size massive MIMO-OFDM systems

Fang

Huang

et al. 2017

2017 17th International Symposium on Communications and Information Technologies (ISCIT)

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Abstract-The great potential of exploiting millimeter wave (mmwave) frequency spectrum for emerging fifth-generation (5G) wireless networks has motivated the study of massive multipleinput multiple-output (MIMO) for achieving high data rate. For medium-size massive MIMO with orthogonal frequency division multiplexing (OFDM) uplink systems, the minimum mean square error (MMSE) based soft-output detector is often used due to its better bit error rate (BER) performance compared to the matched filter detector. Although the multipath channel can be converted into a set of parallel flat-fading channels by using OFDM thus reducing the complexity of receiver design, the tone by tone (per subcarrier) detection methods based on the state-of-the-art low complexity MMSE still incur considerably high computational complexity since the number of tones is typically very large. To reduce the complexity, the interpolationbased matrix inversion algorithms for small-size MIMO-OFDM systems have been proposed, which compute the matrix inversion by interpolating separately the adjoint and determinant. In this paper, we find that the (regularized) Gram matrix inversions have strong correlation between different subcarriers. By exploiting this strong correlation, we propose a linear interpolation based MMSE detection algorithm that directly interpolates the inverted MMSE matrices for a small number of subcarriers to obtain matrix inversions for all other subcarriers, thereby significantly reducing the number of matrix inversion required. Extensive simulations show that with small BER performance loss compared to the exact MMSE detector, the proposed algorithm can reduce the complexity to the level of the matched filter algorithm.

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“…(4) Non-restrictive. Use a wearable computer users, will not cause by is limited by basic geographical information calculation incompetent, whether in roaming, mobile, or walking around the application of wearable computing that can guarantee the value of its application, and does not interfere with people do other things [3][4].…”

Section: Introductionmentioning

confidence: 99%

Research on the Developmental Trend of Wearable Devices from the Perspective of Human-Computer Interaction

Wang¹,

Huang²

2016

Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

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Abstract. In this paper, we conduct research on the developmental trend of modern wearable devices from perspective of the human-computer interaction. Wearable computers have to face the primary products market, the development momentum is very fierce, can be applied to various fields, has a great market potential, as therefore the research of the technology is also more and more. Wearable computer as representative one kind of emerging scientific and technological achievements, to instill the advanced concept of "people-oriented", although is only in the initial stage, convenient but it easy to carry, etc. has been the favor of people, visible in the future after it has potential of technological progress. Our research integrates the human-computer interaction to enhance the traditional wearable devices that will optimize the performance.

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Communication challenges in high-density deployments of wearable wireless devices

Abstract: 12 1536-1284/15/25.00 © 2015 IEEE Alexander Pyattaev, Sergey Andreev, and Yevgeni Koucheryavy are with Tampere University of Technology. Kerstin Johnsson is with Intel Corporation.

Cited by 75 publications

References 10 publications

The Adoption of Wearables for a Healthy Lifestyle: Can Gamification Help?

The Adoption of Wearables for a Healthy Lifestyle: Can Gamification Help?

A low cost interpolation based detection algorithm for medium-size massive MIMO-OFDM systems

Research on the Developmental Trend of Wearable Devices from the Perspective of Human-Computer Interaction

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