Efficient Channel Allocation using Matching Theory for QoS Provisioning in Cognitive Radio Networks

Sensors

AlhuseenOmar Alsayed¹  ShahzadA. Malik²  Riaz Hussain²  MuhammadAwais Javed²  Atif Shakeel²  Muddasir Rahim²  Qadeer ul Hasan²  Adeel Israr²  AhmedS. Alfakeeh³ 

[1] Deanship of Scientific Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia;Department of Electrical and Computer Engineering, COMSATS University Islamabad (CUI), Islamabad 45550, Pakistan;Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia;

关键词: channel allocation;    cognitive radio network;    matching theory;    quality-of-service (QoS);   

DOI  :  10.3390/s20071872

来源: DOAJ

【 摘 要 】

The focus of research efforts in cognitive radio networks (CRNs) has primarily remained confined to maximizing the utilization of the discovered resources. However, it is also important to enhance the user satisfaction in CRNs by finding a suitable match between the secondary users and the idle channels available from the primary network while taking into consideration not only the quality of service (QoS) requirements of the secondary users but the quality of the channels as well. In this work, the Gale Shapley matching theory was applied to find the best match, so that the most suitable channels from the available pool were allocated that satisfy the QoS requirements of the secondary users. Before applying matching theory, two objective functions were defined from the secondary user’s perspective as well as from the channel’s perspective. The objective function of secondary users is the weighted sum of the data rate of the secondary users and the probability of reappearance of the primary user on the channel. Whereas, the objective function of the channel is the maximum utilization of the channel. The weight factors included in the objective functions allow for diverse service classes of secondary users (SUs) or varying channel quality characteristics. The objective functions were used in developing the preference lists for the secondary users and the idle channels. The preference lists were then used by the Gale Shapely matching algorithm to determine the most suitably matched SU-channel pairs. The performance of the proposed scheme was evaluated using Monte–Carlo simulations. The results show significant improvement in the overall satisfaction of the secondary users with the proposed scheme in comparison to other contemporary techniques. Further, the impact of changing the weight factors in the objective functions on the secondary user’s satisfaction and channel utilization was also analyzed.

【 授权许可】

Unknown