Full-duplex transmission in phy and mac layers for 5G mobile wireless networks PROJECT TITLE :Full-duplex transmission in phy and mac layers for 5G mobile wireless networksABSTRACT:As the fourth-generation (4G) standards have been successfully deployed in all 4G-based wireless Communication industries and mobile devices, analysis attention and the efforts of academia and industry have already moved onto fifth-generation (5G) technologies. While the frequency-division duplexing (FDD) and timedivision duplexing (TDD) are widely employed in 4G mobile wireless networks, they need their inherent deficiencies of low spectrum potency as a result of FDD and TDD are both primarily based on the half-duplex transmission mode. To beat these issues existing in 4G systems, in this text we have a tendency to propose novel wireless full-duplex transmission schemes in both the PHY and MAC layers for 5G mobile wireless networks to significantly increase the spectrum efficiency. In specific, we have a tendency to 1st develop the wireless fullduplex model for both bidirectional transmission and unidirectional transmission, respectively, taking under consideration self-interference mitigation. Then we analyze the traditional 0.5-duplex FDD and TDD modes and show the superiority of the wireless full-duplex mode over the halfduplex FDD and TDD modes, respectively. Using our developed wireless full-duplex model, we develop and evaluate the efficient full-duplex power allocation theme at the PHY layer. Corresponding to full-duplex transmission at the PHY layer, we conjointly develop and analyze the fullduplex MAC protocol at the MAC layer to implement full-duplex transmission over the whole 5G mobile wireless network design. Through simulation experiments we have a tendency to show that our proposed schemes will significantly enhance spectrum efficiency for 5G mobile wireless networks. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Extracting, Tracking, and Visualizing Magnetic Flux Vortices in 3D Complex-Valued Superconductor Simulation Data Hierarchical Demand Response for Peak Minimization Using Dantzig–Wolfe Decomposition