August 27, 2016

Improving load balancing techniques by location awareness at indoor femtocell networks

  • Aguilar-Garcia A.
  • Barco R.
  • Fernandez-Duran A.
  • Fortes S.
  • Garrido A.

Femtocells are the auspicious solution for the coverage and capacity challenges that mobile operators are currently facing indoors. Whereas some operators are focused on offloading data traffic from macrocells to femtocells, others prefer to ensure indoor coverage and prioritize voice traffic in order to mitigate the negative impact of blocked or dropped calls. In this context, this paper proposes a novel self-optimizing mechanism to prevent congestion problems at indoor environments, focused on operators that prioritize voice traffic connections. A challenge specific to femtocells is that they normally can only serve a small number of simultaneous connections. Based on this restriction, the proposed mechanism resizes femtocell coverage areas by tuning their transmission powers for load balancing purposes. How information on user location can enhance the optimization process is also investigated in this paper. According to this, two methods to estimate the received signal level per user are evaluated. Finally, the performance is studied by means of both simulations and a real field trial.

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Recent Publications

August 28, 2024

Hybrid GMM-UBM and SVM based systems for text-independent speaker verification in noisy environment

  • Carvalho D.
  • Cavalcanti G.
  • Pinheiro H.
  • Sijbers J.
  • Tsang I.
  • Tsang I.

This paper proposes a hybrid Gaussian Mixture Model-Universal Background Model (GMM-UBM) based speaker verification system for mobile devices in variable noisy environments. We applied a Support Vector Machine (SVM) classier in two GMM-UBM based text-independent speaker verification systems to improve the performance. In the first system, both hypothesized speaker and ...

May 22, 2020

Energy Savings in LTE Macro Base Stations

  • Ambrosy A.
  • Blume O.
  • Ferling D.
  • Jueschke P.
  • Wilhelm M.
  • Yu X.

In wireless access networks the traffic load varies strongly along a day and efficient concepts to adapt the power consumption of LTE macro base stations to the required traffic load are currently widely under study. Significant daily energy savings up to 35% can be achieved for different deployment scenarios by ...

February 19, 2017

Enhancing Mobile Networks with Software Defined Networking and Cloud Computing

  • Cao Z.
  • Kodialam M.
  • Lakshman T.
  • Panwar S.

In the past decade, mobile devices and applications have experienced an explosive growth, and users are expecting higher data rates and better quality services every year. In this paper, we propose several ideas to increase wireless network functionality and capacity using software-defined networking and cloud computing. Connections in mobile networks ...