Power Efficient Technique for MIMO Radar using Co-operative and Non Co-operative Game Theory in Wireless Applications
T. Harikala1, RVS SatyaNarayana2

1T. Harikala, Research Scholar, Department of ECE, SV University College of Engineering, Tirupati (Andhra Pradesh), India.
2RVS SatyaNarayana, Professor, Department of ECE, SV University College of Engineering, Tirupati (Andhra Pradesh), India.
Manuscript received on 06 February 2019 | Revised Manuscript received on 19 February 2019 | Manuscript Published on 04 March 2019 | PP: 273-278 | Volume-7 Issue-5S2 January 2019 | Retrieval Number: ES2046017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Multiple Input Multiple Output (MIMO) is receiving the massive attention in the field of communication. MIMOradars aresimultaneously transmitted multiplelinearly independent wave form and receive their reflected signals. In MIMO communications, Radar offers as a paradigm for signal processing research.The power allocation is the major concern in the MIMO radar network. In this paper, the game theory of Nash equilibrium and Pareto optimality is introduced for noncooperative and cooperative network of distributive clusters respectively. Based on the distance analysis, the MIMO radar network is decided either it is a non-cooperative or cooperative. These power allocation strategies are introduced to allot the specified power for each antennas within the cluster. The clustering of the network is occurred by using K-means clustering. The proposed method is named as Cooperative and Non Cooperative Game Theory based Power Allocation (CNCGPA) in MIMO radars. The performance of the CNCG-PA is analysed by the power consumption and it is compared with GNG PA method. Assume both the GNG PA method and CNCG-PA methods have 3 clusters and 3 users in each clusters. The power consumption of cluster 2 of the GNG PA of 0.1191 is more when compared to the CNCG-PA of 0.1167.
Keywords: MIMO Radar, Power Allocation, Nash Equilibrium and Pareto Optimality Game Theory, Power Consumption.
Scope of the Article: Wireless Multimedia Systems