Cooperative Communication Literature Review

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CHAPTER 2
LITERATURE REVIEW

2.1 Literature Review
Elza Erkip, in cooperative communication in wireless system explained about the ‘overheard signals’ of the neighboring nodes. In this paper, the description of the information of theoretical model has been proposed and studied about the outage probabilities and gain rate regions that diversity has allowed. [1]
Arnab Chakrabarti, in the paper, titled “Cooperative Communication: Fundamental limits and Practical implementation” proposed the gains for user cooperation in the communication. The paper proposed that the three or more terminal relay channel is well suited for cooperative communication. Also results on Gaussian channels are implemented and discussed in the paper. [2]
F. M.
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In the paper Lyapunov analysis for cooperative regulator and synchronization problems are undertaken and then optimal design technique based upon LQR is implemented for the cooperative tracking control in linear systems. The robustness of the controller is achieved in unbounded synchronization regions. [4]
Sudharman K. Jayaweera, has proposed wireless cooperative communication based on virtual multiple input multiple output (MIMO).He derived energy and delayed efficiencies of the suggested system. He compared the parameters of virtual MIMO sensor network to that of traditional SISO networks and found that virtual MIMO network offers more energy savings and less delay efficiencies. [5]
Shiou-Hung Chen, studied the routing techniques in fading channels and derived the strategies for power optimization in cooperative communication and provided the near optimal algorithm in the paper. The author found that routing in multi hop cooperative communication is more energy efficient in practical manner. The gain of multi hoping is more than that of direct transmission over practical values of path loss.
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The smart antennas with circular array and in turn, circular array with central element are investigated and simulated in C-band (4–8 GHz). In the paper, the initial module presented circular antenna array with central element designing which is suitable for beamforming method in wireless applications. In this research work, eight circular sector microstrip antennas are arranged circularly and a central element was appended to the array to enhance steering capability of the proposed array. The next module in the paper suggested the estimation method using MUSIC (MUltipleSIgnal Classification) to find the DOA (Direction Of Arrival) of the desired signal accurately, and to focus the maximum power in the desired direction and to nullify the signal power in the interferer direction, LMS algorithm for beamforming technique is proposed. The simulation and modeling of antenna array is done by employing HFSS. The whole beamforming algorithm in the paper is simulated in Matlab. Consequently simulation results demonstrated that circular array antennas are feasible for integration with smart antenna systems.

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