Abstract
The use of sharing channel simultaneously has become the trend in telecommunication technology particularly in network with distributed users as the allocation of frequency spectrum becomes more crowded. The proposed power control method in cognitive femtocell network is based on game theory (commonly known as power control game, PCG). This method uses utility function formula as the goal of game theory for power strategy in power update process. Utility function formula of Proposed PCG includes channel sharing factor that aimed to accommodate the system requirement of channel sharing. The result showed that the implementation of channel factor is inversely proportional to the signal to noise and interference ratio (SINR) and transmit power, but proportional to utility function. In comparison of user transmit power and SINR with two other methods, can also be conclude that Proposed PCG was able to achieve SINR of 5.49 dB and above the SINR target 5 dB, while the Thalabani (TB) and Koskie-Gajic (KG) were only able to achieve respective SINR of 4.87 dB and 4.98 dB. It can be concluded that the Proposed PCG was better in achieving the SINR target. It means that the quality of service in this system can be fulfilled properly.
Highlights
In the developing telecommunication era, cellular network with centralized power control creates a new dilemma as it has better performance than distributed power control network and it is able to generate optimum solution efficiently with low communication cost and computation requirement in the small-scale system
This result is in line with (2), where it states that in convergence, signal to noise and interference ratio (SINR) received by user is equal to SINR target, the value of utility function is zero
It can be concluded from the results that as the channel sharing factor ( k) decreases, or the channel factor (r) increases, which meant that more user share the channel, the user SINR decreases
Summary
In the developing telecommunication era, cellular network with centralized power control creates a new dilemma as it has better performance than distributed power control network and it is able to generate optimum solution efficiently with low communication cost and computation requirement in the small-scale system. The challenge of developing distributed algorithm is to create an algorithm that is able to work independently, without global information and centralized coordination. Distributed power control could avoid bottleneck effect of centralized power control and is able to improve reliability by diminishing the failure effect in central station. SINR target is accommodated in utility function to obtain the required power to meet the intended SINR target. The result of implementing utility function tends to surpass the SINR target, DPC method only able to reach the SINR target without exceeding it [2]. Utility could be translated as improvement of throughput and Journal homepage: http://section.iaesonline.com/index.php/IJEEI/index
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