February 06, 2017

LAPRA: Location-aware Proactive Resource Allocation

  • Muppirisetty S.
  • Wymeersch H.
  • Yiu S.

Today's indoor wireless networks employ reactive resource allocation methods to provide fair and efficient usage of the communication system. However, their reactive nature limits the quality of service (QoS) that can be offered to the user locations within the environment. In large crowded places (airports, conferences), networks can get congested and users may suffer from poor QoS. To mitigate this, we open a new dimension: the user's location. We propose a resource allocation method in which the users are proactive and seek good channel quality by moving to locations where the signal quality is good. So, the users and their locations are optimized to improve the overall QoS. We demonstrate that the proposed proactive approach enhances user QoS and improves network throughput of the system.

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5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

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Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

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