Threats Advancement in Primary User Emulation Attack and Spectrum Sensing Data Falsification (SSDF) Attack in Cognitive Radio Network (CRN) for 5G Wireless Network Environment

Primary User Emulation (PUE) attack and Spectrum Sensing Data Falsification (SSDF) attack on Data Fusion Centre and attack on Common Control Channel (CCC) is a serious security problems and need to be addressed in cognitive radio network environment. We are reviewing the recent advances of threats for the future 5th Generation (5G) wireless radio network from these attacks. Several existing security schemes have been proposed and discussed to overcome these attacks. We propose new security scheme that able to mitigate the attacks and provide security solutions. This scheme intended to mitigate the threats from the attacks in CRN and improve the future 5G network security

Review of Adaptive Cell Selection Techniques in LTE-Advanced Heterogeneous Networks

Poor cell selection is the main challenge in Picocell (PeNB) deployment in Long Term Evolution- (LTE-) Advanced heterogeneous networks (HetNets) because it results in load imbalance and intercell interference. A selection technique based on cell range extension (CRE) has been proposed for LTE-Advanced HetNets to extend the coverage of PeNBs for load balancing. However, poor CRE bias setting in cell selection inhibits the attainment of desired cell splitting gains. By contrast, a cell selection technique based on adaptive bias is a more effective solution to traffic load balancing in terms of increasing data rate compared with static bias-based approaches. This paper reviews the use of adaptive cell selection in LTE-Advanced HetNets by highlighting the importance of cell load estimation. The general performances of different techniques for adaptive CRE-based cell selection are compared. Results reveal that the adaptive CRE bias of the resource block utilization ratio (RBUR) technique exhibits the highest cell-edge throughput. Moreover, more accurate cell load estimation is obtained in the extended RBUR adaptive CRE bias technique through constant bit rate (CBR) traffic, which further improved load balancing as against the estimation based on the number of user equipment (UE). Finally, this paper presents suggestions for future research directions