J. A. Fernández-Segovia

ORCID: 0000-0003-0832-458X
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About
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Research Areas
  • Advanced MIMO Systems Optimization
  • Advanced Wireless Network Optimization
  • Wireless Networks and Protocols
  • Cooperative Communication and Network Coding
  • Wireless Communication Networks Research
  • Millimeter-Wave Propagation and Modeling
  • IoT Networks and Protocols

Universidad de Málaga
2015-2017

Uplink power control has a strong impact on the performance of mobile communication networks. In this work, an automatic parameter planning algorithm for standardized scheme in physical uplink shared channel (PUSCH) long term evolution LTE is proposed. The method conceived network design stage, when measurements are still not available. proposed heuristic can handle irregular scenarios at low computational complexity. For purpose, problem cell formulated analytically through combination...

10.1186/s13638-015-0320-7 article EN cc-by EURASIP Journal on Wireless Communications and Networking 2015-03-19

In this paper, a method for estimating cell capacity from network measurements in multiservice long-term evolution (LTE) system is presented. Unlike previous work, the proposed takes into account multiple service-specific constraints, including both delay and throughput constraints. For purpose, services are first classified by their quality-of-service (QoS) class identifier (QCI). Then, several multivariate linear regression equations used to estimate value of different QoS indicators...

10.1109/lcomm.2014.2387279 article EN IEEE Communications Letters 2015-01-09

Uplink Power Control (ULPC) is a key feature of mobile networks. Particularly, in LTE, Physical Shared Channel (PUSCH) performance strongly depends on configuration. In this work, methodology for the self-planning uplink Fractional (FPC) settings presented. Values nominal power and channel path-loss compensation factor are proposed. The method designed planning operational (replanning) stages. A very fast solution FPC setting can be achieved by combination several simple solutions obtained...

10.1155/2016/8267407 article EN cc-by Mobile Information Systems 2016-01-01

An accurate estimation of key performance indicators (KPI) in mobile communication networks is an important issue, especially for the planning stage or optimization purposes. Traditional approaches use simulation tools, including thorough models. However, computational costs strongly increase with network complexity and number cells. In this paper, several low- scalable cell throughput are presented, both downlink uplink. Simplifications focused on geometrical propagation aspects. Results...

10.1109/vtcspring.2015.7145756 article EN 2015-05-01
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