| Presenter Name: Dr. Wael Afifi |
| Lecture Date:9/6/2021 12:00:00 PM |
| lecture Topic: PHD Thesis |
| Department: Computers and Systems |
| Lecture Title: Design and Implementation of Efficient Cloud-based 5G Management Protocol |
| Lecture Summary: With the emerging of fifth generation (5G) wireless networks, industry and academia have been working on introducing powerful processing algorithms for massive data traffic. Fortunately, incorporating the Cloud Computing technology into the 5G radio access network (RAN) layer will contribute in making the management and processing of user data faster and more reliable than conventional 4G networks. One of the issues that usually concerns cellular network operators is the cell- edge problem, where users existed at the edge of the cell, i.e., far away from the radio transceiver tower - known as base station (BS) - typically experience a low signal-to-interference-plus-noise-ratio (SINR), which leads to considerably low achievable throughputs and data rates. Another issue that network operators must handle is the traffic variations throughout the network area which change in a time-geometry manner based on the daytime (i.e., day or night) and cell/area type (i.e., business, residential, entertainment ... etc). As a result, network cell resources maybe insufficient or dissipated according to the density of the area that each cell serves. In this lecture, a new scheduling technique has been developed to increase the probability of assigning the available resource blocks (RBs) to the cell-edge users so that their achieved throughput would increase. In addition, a novel load-aware, network-centric, dynamic clustering (LANCDC) algorithm is proposed to increase the system performance in loaded cell-edge areas |
| Presenter Profile: Click here |
| Lecture Slides: Download |
Lecture Link:
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| keywords: #5G, #6G, #Cloud_Computing, #CRAN, #Joint_Processing, #Resource_Scheduling, #Performance_Optimization |
