Adaptive Integrated Unit to User's Equipment for the Spectral and Energy Efficiency in Cognitive Networks
Affiliation:
1. Department of Electrical Engineering, Ecole Nationale Supérieure d'Ingénieurs (ENSI), University of Lomé, Lomé, Togo 2. Department of Electrical & Computer Engineering, University of Energy Natural Resources, Sunyani, Ghana
Abstract
The work proposes an adaptive integrated unit to user's equipment for the spectral and energy efficiency, under severe channel fading condition like in 5Generation cellular network. The spectral and energy efficiency are formulated through an optimization problem under a coverage sensitivity criterion. This criterion is the ratio of the mobile user transmit power over its received power. The criterion is a typical awareness parameter that could help in effective counting of the number of active users within a cell coverage or in multi-transmitters coverage system. The criterion is meant to be embedded into the user equipment in such a way to provide much information about the device status (e.g. Idle, or active or off). The unit block diagram includes a downtilt switching tool that aims at decreasing the channel fading and inter-cell interference. The system transfer function is then evaluated. The obtained results show an enhanced spectral efficiency, and the energy consumption is also considerably reduced when the coverage area seems to be idle. Hence, the unit could be applied to a transmitter for power minimization as the objective in the absence of no-cell load.
Subject
Computer Networks and Communications
Reference21 articles.
1. Feng, D., Jiang, C., Lim, G., Cimini, L. J., Feng, G., & Li, G. Y. (2013). A Survey of Energy-Efficient Wireless Communications.IEEE Communications Surveys and Tutorials, 15(1), 162–178. 2. Andrews, J. (2005). Interference cancellation for cellular systems: A contemporary Overview. IEEE Wirel Commun., 12(2), 19-29. 3. Correia, L. M., Zeller, D., Blume, O., Ferling, D., Jading, Y., Gódor, I., ... & Van Der Perre, L. (2010). Challenges and enabling technologies for energy aware in mobile radio network.IEEE Communications Magazine, 48(11), 66–72. 4. Miao, G., Himayat, N., Li, Y. G., & Swami, A. (2013). Cross-Layer Optimization for Energy-Efficient Wireless Communications. Survey (London, England).
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