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NEXGEN TECHNOLOGY
FINAL YEAR IEEE PROJECTS TITLES 2015-2016
CONTACT: PRAVEEN KUMAR. L (+91 – 9751442511, +91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
web:www.nexgenproject.com
1. Assessing Performance Gains Through Global Resource Control of Heterogeneous
Wireless Networks
We study the resource allocation and management issues related to heterogeneous wireless
systems made up of several Radio Access Technologies (RATs) that collectively provide a
unified wireless network to a diverse set of users through co-ordination managed by a centralized
Global Resource Controller (GRC). We assume that the user devices are multimodal, which
makes it possible for each device to use any available Access Point (AP)/Base Station (BS) of a
RAT at any given time. Through detailed protocol level simulations performed in ns-2, we show
an increase in spectral efficiency of up to 99% and an increase in short-term fairness of up to
28.5% for two greedy sort-based user device-to-AP/BS association algorithms implemented at
the GRC compared to a distributed solution used in practice today where each user makes his/her
own association decision. While the increase in overhead due to re-associations for a centralized
solution grows only slightly (by up to 4.1%) compared to a distributed solution, we find the
performance increase in spectral efficiency and short-term fairness attributes come at the cost of
an order of magnitude increase (of up to 794%) in energy consumption.

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Assessing performance gains through global resource control of heterogeneous wireless networks

  • 1. NEXGEN TECHNOLOGY FINAL YEAR IEEE PROJECTS TITLES 2015-2016 CONTACT: PRAVEEN KUMAR. L (+91 – 9751442511, +91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com web:www.nexgenproject.com 1. Assessing Performance Gains Through Global Resource Control of Heterogeneous Wireless Networks We study the resource allocation and management issues related to heterogeneous wireless systems made up of several Radio Access Technologies (RATs) that collectively provide a unified wireless network to a diverse set of users through co-ordination managed by a centralized Global Resource Controller (GRC). We assume that the user devices are multimodal, which makes it possible for each device to use any available Access Point (AP)/Base Station (BS) of a RAT at any given time. Through detailed protocol level simulations performed in ns-2, we show an increase in spectral efficiency of up to 99% and an increase in short-term fairness of up to 28.5% for two greedy sort-based user device-to-AP/BS association algorithms implemented at the GRC compared to a distributed solution used in practice today where each user makes his/her own association decision. While the increase in overhead due to re-associations for a centralized solution grows only slightly (by up to 4.1%) compared to a distributed solution, we find the performance increase in spectral efficiency and short-term fairness attributes come at the cost of an order of magnitude increase (of up to 794%) in energy consumption.