Capacity simulation and analysis of an IEEE 802.11n system in a residential house

Tanghe, Emmeric; Gaillot, Davy P.; Joseph, Wout; Liénard, M.; Ketelaere, W. De; Martens, Luc

doi:10.1109/eucap.2016.7481559

Cited by 2 publications

(1 citation statement)

References 2 publications

(3 reference statements)

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“…The first piece of information is readily available from the WeFi and OpenSignal traces. About the capacity of Wi-Fi networks, we assume they all use the 802.11n technologya fair assumption, given how fast this technology is being adopted -, with a per-access point aggregate throughput of 300 Mbit/s 6 [31], [32]. As far as the spare capacity available for offloading is concerned, we proceed as follows: (i) we increase today's WiFi traffic according to the Cisco projections [4], and then (ii) we subtract the traffic generated by Wi-Fi static users, which will be served by technologies to come such as mmWave.…”

Section: B Enhancing the Networkmentioning

confidence: 99%

Understanding the present and future of cellular networks through crowdsourced traces

Malandrino

Chiasserini

Kirkpatrick

2017

2017 IEEE 18th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

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Abstract-We focus on today's LTE systems and use realworld, crowdsourced traces to understand (i) how present-day LTE networks are deployed and to which extent they are suited to the current traffic load; (ii) how well they will withstand the traffic demand forecasted within 2020; (iii) which techniques to improve them should be pursued and how aggressively. To this end, we use two datasets, coming from WeFi and OpenSignal and available under commercial terms. We find that today's networks are composed of tangled, medium to large-sized cells, characterized by fairly high interference. Also, current networks are typically overprovisioned, but the future traffic load will pose a significant strain on them. To accommodate the forecasted mobile traffic, our study highlights the efficacy of: (i) traffic offloading for pedestrian and stationary users, (ii) increasing the available bandwidth through, e.g., spectrum refarming, (iii) mitigating interference and improving link quality for edge users through coordinated downlink transmissions. By putting in place these actions, only a negligible amount of additional cellular infrastructure will be required. Our results come from the combination of real-world traces, experimental measurements, and ITU-recommended propagation models. Each step we take is backed by real-world facts and data.

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Section: B Enhancing the Networkmentioning

confidence: 99%

Understanding the present and future of cellular networks through crowdsourced traces

Malandrino

Chiasserini

Kirkpatrick

2017

2017 IEEE 18th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

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An extension of the RiMAX multipath estimation algorithm for ultra-wideband channel modeling

Hanssens

Tanghe

Gaillot

et al. 2018

J Wireless Com Network

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This work presents an extension of the high-resolution RiMAX multipath estimation algorithm, enabling the analysis of frequency-dependent propagation parameters for ultra-wideband (UWB) channel modeling. Since RiMAX is a narrowband algorithm, it does not account for the frequency-dependency of the radio channel or the environment. As such, the impact of certain materials in which these systems operate can no longer be considered constant with respect to frequency, preventing an accurate estimation of multipath parameters for UWB communication. In order to track both the specular and dense multipath components (SMC and DMC) over frequency, an extension to the RiMAX algorithm was developed that can process UWB measurement data. The advantage of our approach is that geometrical propagation parameters do not appear or disappear from one sub-band onto the next. The UWB-RiMAX algorithm makes it possible to re-evaluate common radio channel parameters for DMC in the wideband scenario, and to extend the well-known deterministic propagation model comprising of SMC alone, towards a more hybrid model containing the stochastic contributions from the DMC’s distributed diffuse scattering as well.Our algorithm was tested with synthetic radio channel models in an indoor environment, which show that our algorithm can match up to 99% of the SMC parameters according to the multipath component distance (MCD) metric and that the DMC reverberation time known from the theory of room electromagnetics can be estimated on average with an error margin of less than 2 ns throughout the UWB frequency band. We also present some preliminary results in an indoor environment, which indicate a strong presence of DMC and thus diffuse scattering. The DMC power represents up to 50% of the total measured power for the lower UWB frequencies and reduces to around 30% for the higher UWB frequencies.

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Capacity simulation and analysis of an IEEE 802.11n system in a residential house

Cited by 2 publications

References 2 publications

Understanding the present and future of cellular networks through crowdsourced traces

Understanding the present and future of cellular networks through crowdsourced traces

An extension of the RiMAX multipath estimation algorithm for ultra-wideband channel modeling

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