NDLI: Performance evaluation of cooperative and non-cooperative MIMO cognitive radio networks

Content Provider	IET Digital Library
Author	Ashraf, Yara Newagy, Fatma Hafez, Ismail
Abstract	In a multiple-input multiple-output (MIMO) cognitive radio network, the cognitive users (CUs) coexist with the primary users (PUs) in the same spectrum for boosting the spectrum efficiency. Based on the informed limit of the interference power from the PUs, the CUs' compete to minimise the total interference power generated. In this study, noncooperative and cooperative game theoretic approaches are derived for network interference management (NIM). In the first scenario, the NIM problem computes the sum of minimum individual CU's interference power produced on the PU to converge to equilibrium by using the best response iteration method. The second one, NIM estimates Nash product to converge to Nash bargaining solution by using the dual decomposition method. Numerical results prove the effectiveness of the cooperative scenario that minimises the network interference power. Two new metrics are proposed to evaluate the performance in these scenarios. The interference cooperative loss metric estimates the overall network interference power loss from CUs cooperation rather than non-cooperation in the game theoretic solution. Capacity cooperative gain metric estimates the overall network capacity gain from CUs cooperation rather than non-cooperation in the game theoretic solution for a fixed acceptable interference level.
Starting Page	3588
Ending Page	3594
Page Count	7
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 20, Dec (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/20
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2019.0522
Journal	IET Communications
Publisher Date	2019-10-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Best Response Iteration Method Capacity Cooperative Gain Metric Cognitive Radio Cognitive User Cooperative Communication Cooperative Game Theoretic Approach CUs Cooperation Dual Decomposition Method Electromagnetic Compatibility Fixed Acceptable Interference Level Game Theoretic Solution Game Theory Interference Interpolation And Function Approximation Iterative Method Loss Metric Estimate MIMO Communication Minimum Individual CU's Interference Power Multiple-input Multiple-output Cognitive Radio Network Nash Bargaining Solution Network Capacity Gain Network Interference Management Network Interference Power Loss NIM Problem Noncooperative MIMO Cognitive Radio Network Numerical Analysis Performance Evaluation Primary User PUs' Quality Radio Frequency Interference Radio Link And Equipment Radio Spectrum Management Spectrum Efficiency Spectrum-sharing Application Total Interference Power
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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