This proceding at: IEEE 80th Vehicular Technology Conference (VTC)Fall. Took place 2014, September 15-19, in Vancouver (Canada). ; Radio over Fiber (RoF) distribution aided co-operation of Remote Access Points (RAPs) is proposed for jointly transmitting data to the users in the downlink (DL) of a Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system. Joint transmission is performed with the aid of Block Diagonalization (BD), where the transmitted signal is pre-distorted in order to overcome the non-linearity imposed by the optical modulator. We demonstrate that with adequate design, the users can obtain high data rates with very small degradation introduced by the RoF transmission. Quantitatively, when M=7 RAPs, each equipped with t=2 transmit antennas (TAs) each, cooperate to serve N=7 simultaneous users, also equipped with r=2 receive antennas (RAs), the SNR degradation is kept below 0.1 dB compared to a system assuming a perfect RoF channel. On the other hand, the SNR performance degradation is around 1.2 dB, when the number of antennas at the transmitters and the receivers is increased to t=r=8. ; This work was supported by projects CSD2008-00010, TEC2011-29006- C03-03 and by a mobility grant of Spanish Ministry of Education. The financial support of the UK Government's Engineering & Physical Sciences Research Council (EPSRC) as well as that of the Research Councils UK (RCUK) and of the European Research Council's Senior Research Fellow Grant is also gratefully acknowledged. ; Publicado
In: International journal of social ecology and sustainable development: IJSESD ; an official publication of the Information Resources Management Association, Volume 13, Issue 1, p. 1-13
The Mitigation phase in disaster management (DM) is a widely researched subject, and rightly so due to its invaluable role in dampening the consequences of disasters on life and property. A successful mitigation phase serves to be a solid foundation for the smooth execution of the subsequent phases in DM. This paper looks at some of the recent studies and developments pertinent to the mitigation phase in DM, in an attempt to deduce the prevalent Machine Learning (ML) Techniques that are employed across various disaster scenarios. The paper also looks into some of the key factors that have to be considered to ensure a sustainable plan for mitigation.