PROJECT TITLE :

On the Rate Regions of Single-Channel and Multi-Channel Full-Duplex Links - 2018

ABSTRACT:

We tend to study the achievable rate regions of full-duplex links in the one- and multi-channel cases (in the latter case, the channels are assumed to be orthogonal, e.g., OFDM). We gift analytical results that characterize the uplink and downlink rate region and efficient algorithms for computing rate pairs at the region's boundary. We additionally give close to-optimal and heuristic algorithms that “convexify” the rate region when it is not convex. The convexified region corresponds to a combination of some full-duplex rates (i.e., to time sharing between totally different operation modes). The algorithms can be used for theoretical characterization of the speed region furthermore for resource (time, power, and channel) allocation with the objective of maximizing the sum of the rates when one of them (uplink or downlink) should be guaranteed (e.g., due to QoS considerations). We numerically illustrate the speed regions and the rate gains (compared with time division duplex) for various channel and cancellation eventualities. The analytical results provide insights into the properties of the full-duplex rate region and are essential for future development of scheduling, channel allocation, and power management algorithms.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : A Supervised Machine Learning Algorithm for Heart Rate Detection Using Doppler Motion-Sensing Radar ABSTRACT: The development of vital sign radar technology has shown to be an effective tool for measuring various
PROJECT TITLE : Predicting Sleep Quality in Osteoporosis Patients Using Electronic Health Records and Heart Rate Variability ABSTRACT: One of the most well-known aspects in everyday work performance is sleep quality (SQ). Polysomnography
PROJECT TITLE :Symbol Error Rate Performance of Box-Relaxation Decoders in Massive MIMO - 2018ABSTRACT:The utmost-chance (ML) decoder for image detection in giant multiple-input multiple-output wireless communication systems is
PROJECT TITLE :Novel Integration of Frame Rate Up Conversion and HEVC Coding Based on Rate-Distortion Optimization - 2018ABSTRACT:Frame rate up conversion (FRUC) will improve the visual quality by interpolating new intermediate
PROJECT TITLE :On the Ergodic Rate Lower Bounds With Applications to Massive MIMO - 2018ABSTRACT:A well-known lower sure widely utilized in the large MIMO literature hinges on channel hardening, i.e., the phenomenon for which,

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry