TDD cognitive radio femtocell network (CRFN) operation in FDD downlink spectrum

Abstract

Deploying cognitive radio femtocell network (CRFN) inside a macrocell network can significantly increase the utilization of the available macrocell bandwidth and increase the capacity of the macrocell. However, the success of this deployment in terms of performance degradation of the macrocell and the acceptable throughput for the CRFN is not well defined. In this paper, we propose a time division duplex (TDD) operation of a CRFN and investigate its performance inside a macrocell operating in frequency division duplex (FDD) mode. It is shown that with a proper sensing and transmission scheme the capacity of the CRFN can be increased by simultaneous transmissions on multiple channels, water-filling further improves the result when interference from the macrocell basestation is large. The proposed scheme is applicable to full duplex networks, such as LTE and GSM.

Efficient Use of Paired Spectrum Bands through TDD Small Cell Deployments

“…The proposed solution is investigated in [8] where TDD cognitive SeNBs are allowed to exploit the FDD-DL spectrum. In that case, the TDD SeNB listens to the FDD UL signals in order to detect if there are active FDD-UEs (or MUEs in the following) in the neighboring area.…”

Behavior Prediction Based on Vision Judgment of Ball Carrier in Basketball Matches

“…Now the application of computer technology for sports videos mainly reflected in the recognizing and analyzing of the athlete's behavior. Ramasso E and his colleagues used TBM(transferable belief model) to recognize flop, pole vault, triple jump and so on [3]; Roh M C and his colleagues tracked the key points of ballet dancers' body and got its dance course and realized auto analysis of the dance movements [4][5][6][7]; Tong X F and his colleagues realized the recognition of four swimming strokes of swimming match video [8][9][10]; Zhu G Y and his colleagues integrated considered the multiple information of the court in videos and realized auto analysis match tactics [11][12][13][14].…”

Image Compression Transmission Algorithm Based on the Singular Value Decomposition Applied in the Wireless Multimedia Sensor Networks

“…It can sense the large amount of data such as audio, video, images and multimedia information, and has broad application prospects in the environmental monitoring, the battlefield monitoring, and intelligent household and other fields [1][2][3]. Images, however, as one of the most important sensory information to WMSNs , has a large amount of data and high complexity and demanding memory requirement, and resources serious limitations of a single node is difficult to achieve image processing and transmission, we need to compress the original image before transmission [4][5][6].…”