Research on Wireless Resource Management

2015 ◽  
Vol 727-728 ◽  
pp. 920-922
Author(s):  
Hao Wang ◽  
Sha Sha

Wireless resource management is one of the key techniques in cognitive radio networks, which attracts great research attention, international cooperation project and other fundings. The dissertation contains valuable work on both theories and applications.A novel method using bipartite graph matching is proposed to realize the dynamic spectrum access. An idealized method and an operative method are presented respectively based on the famous Kuhn-Munkre algorithm. Experimental results show that proposed algorithms dramatically maximize the spectrum utilization and reduce allocation conflictions among users.

2019 ◽  
Vol 16 (12) ◽  
pp. 34-46
Author(s):  
Ehab F. Badran ◽  
Amr A. Bashir ◽  
Amira I. Zaki ◽  
Waleed K. Badawi

Author(s):  
Hui Sun ◽  
Han Han

Dynamic spectrum Access (DSA)is used to make use of the spectrum in wireless network. In most situations, control channel is a common approach to negotiation between secondary users. But, based on this feature, the attacker can destroy the communication network only influence the control center. So, in this paper, two methods without control channel are simulated in Qualent platform. The results prove that those methods are available, and the Receiver-directed channel selection is more match to the regular control channel standards in throughput.


2018 ◽  
Vol 7 (3.3) ◽  
pp. 231
Author(s):  
Meena M ◽  
Monish M ◽  
Sharanya C ◽  
Dr V Rajendran

It’s well inferred that the MAC layer technique on wireless network is well established and many scientists elaborately worked on this technique till the updated 5G technology. However, the present study clearly says on spectrum-based parameters are becoming very popular and cognitive defined systems are found to be near best solution for many communication network applications. Hence this paper provides to develop an algorithm and policy engine makes a details model and study on dynamic spectrum access in cognitive system using continuous time Markov chain process. The detailed and outcome of results clearly shows a 96% of efficiency on the spectrum dynamics which came from our unique proposed model.  


Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3800
Author(s):  
Xiang Xiao ◽  
Fanzi Zeng ◽  
Zhenzhen Hu ◽  
Lei Jiao

Cognitive radio networks (CRNs), which allow secondary users (SUs) to dynamically access a network without affecting the primary users (PUs), have been widely regarded as an effective approach to mitigate the shortage of spectrum resources and the inefficiency of spectrum utilization. However, the SUs suffer from frequent spectrum handoffs and transmission limitations. In this paper, considering the quality of service (QoS) requirements of PUs and SUs, we propose a novel dynamic flow-adaptive spectrum leasing with channel aggregation. Specifically, we design an adaptive leasing algorithm, which adaptively adjusts the portion of leased channels based on the number of ongoing and buffered PU flows. Furthermore, in the leased spectrum band, the SU flows with access priority employ dynamic spectrum access of channel aggregation, which enables one flow to occupy multiple channels for transmission in a dynamically changing environment. For performance evaluation, the continuous time Markov chain (CTMC) is developed to model our proposed strategy and conduct theoretical analyses. Numerical results demonstrate that the proposed strategy effectively improves the spectrum utilization and network capacity, while significantly reducing the forced termination probability and blocking probability of SU flows.


2017 ◽  
Vol 67 (2) ◽  
pp. 217-229 ◽  
Author(s):  
Yaser Jararweh ◽  
Haythem A. Bany Salameh ◽  
Abdallah Alturani ◽  
Loai Tawalbeh ◽  
Houbing Song

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