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Device-to-Device (D2D) Communication for Advanced Wireless Communication

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In cellular networks, device-to-device (D2D) communication is a new paradigm. In this chapter, the end-to-end performance (outage, throughput, improvement in spectrum utilization, and energy efficiency) of a non-linear energy harvesting D2D network underlaying a cellular network will be studied under a channel quality constraint. A D2D node harvests energy from RF signal of cellular users (CU) and power transfer units (PTUs) and transmits its information in hybrid mode. Spectrum sensing, censoring of users, and energy harvesting are incorporated to make the study more realistic. Spectrum sensing provides information about the CU spectrum status, censoring technique eliminates the D2D users from the transmission process of those who have bad quality channels. Analytical expressions of an outage, throughput, improvement in spectrum utilization (ISU), and energy efficiency are provided. The impact of the interference threshold on CU, the censoring threshold, and the saturation level of the energy harvester on network performance parameters is addressed.
Title: Device-to-Device (D2D) Communication for Advanced Wireless Communication
Description:
In cellular networks, device-to-device (D2D) communication is a new paradigm.
In this chapter, the end-to-end performance (outage, throughput, improvement in spectrum utilization, and energy efficiency) of a non-linear energy harvesting D2D network underlaying a cellular network will be studied under a channel quality constraint.
A D2D node harvests energy from RF signal of cellular users (CU) and power transfer units (PTUs) and transmits its information in hybrid mode.
Spectrum sensing, censoring of users, and energy harvesting are incorporated to make the study more realistic.
Spectrum sensing provides information about the CU spectrum status, censoring technique eliminates the D2D users from the transmission process of those who have bad quality channels.
Analytical expressions of an outage, throughput, improvement in spectrum utilization (ISU), and energy efficiency are provided.
The impact of the interference threshold on CU, the censoring threshold, and the saturation level of the energy harvester on network performance parameters is addressed.

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