Abstract
The interference reduction capability of antenna arrays and the power control algorithms have been considered separately as means to decrease the interference in wireless communication networks. In this paper, we propose smart step closed-loop power control (SSPC) algorithm in wireless networks in a 2D urban environment with constrained least mean squared (CLMS) algorithm. This algorithm is capable of efficiently adapting according to the environment and able to permanently maintain the chosen frequency response in the look direction while minimizing the output power of the array. Also, we present switched-beam (SB) technique for enhancing signal to interference plus noise ratio (SINR) in wireless networks. Also, we study an analytical approach for the evaluation of the impact of power control error (PCE) on wireless networks in a 2D urban environment. The simulation results indicate that the convergence speed of the SSPC algorithm is faster than other algorithms. Also, we observe that significant saving in total transmit power (TTP) are possible with our proposed algorithm. Finally, we discuss three parameters of the PCE, number of antenna elements, and path-loss exponent and their effects on capacity of the system via some computer simulations.
Highlights
Diversity and power control are two effective techniques for enhancing the signal to interference plus noise ratio (SINR) for wireless networks
We propose smart step closed-loop power control (SSPC) algorithm in wireless networks in a 2D urban environment with constrained least mean squared (CLMS) algorithm
We study an analytical approach for the evaluation of the impact of power control error (PCE) on wireless networks in a 2D urban environment
Summary
Closed-loop algorithms can effectively compensate fading variations when the power control updating time is smaller than the correlation time of the channel. The first goal of this paper is to extend our work in [7,8] by considering closed-loop power control and power control error (PCE). In [8], we proposed the SSPC algorithm in wireless network by the CLMS algorithm without considering the effect of PCE in 2D urban environment. In this paper we present smart step closed-loop power control (SSPC) algorithm for minimizing the total transmit power (TTP) in wireless networks [9]. We consider the effect of PCE on wireless networks in a 2D urban environment [10].
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