The main idea behind Adaptive Modulation Coding (AMC) is to change the Modulation and Coding Schemes (MCS) dynamically within the subsequent frame and to adopt the overall spectral efficiency to the channel condition. The selection of correct MCS is done at the receiver end on the basis of observed channel condition under the information supplied to the transmitter in every time frame. A number of significant works have been carried out on understanding the time adaptation aspect in AMC protocols, and the challenges in these methods occurred when the dynamic transmission techniques in the wireless networks are used, which have multiple signal dimensions. In this paper, the performance analysis of AMC is done using evaluation of Long-Term Evolution (LTE) and by calculating the probability of Bit Error Rate (BER) under the Additive White Gaussian Noise (AWGN) wireless channel models. AMC model is constructed in MATLAB under Gaussian (AWGN) to analyze the performance in BER, data delay and throughput.

Green communication technology provides energy-saving implementation of mobile communication network in the fast growing digital communication field. Power consumption at the cellular base station has become an important problem in mobile wireless communication. The paper proposes a new algorithm based on green communication technology for solving the power issue, power reduction at the cellular base station transceiver with consideration of Quality-of-Service (QoS) and equality conditions of each cellular subscriber. The paper uses Orthogonal Space-Time Block Code (OSTBC) component carrier for downlink transmission of the base station. The simulation results prove that the proposed scheme provides better energy-saving scheme compared to other energy-saving schemes.

Many countries have been facing the problem of how to represent the economic downtime, economic crashing or economic recession in order to make appropriate decision or policy intervention. For this purpose, the paper estimates mobile telecommunication demand for 10 years of 27 countries using Ordinary Least-Square (OLS) method with qualitative information as dummy variable. The dummy variable examines the economic crashing time in South Korea during 1997. The paper uses price of mobile (mobile cellular monthly subscription) in telecommunication industry, income of consumers and investment as three independent variables, while the number of mobile cellular telephone subscribers per 100 inhabitants is used as dependent variable. The results indicate that the higher the income, the higher would be the demand for mobile cellular telephone subscribers per 100 inhabitants and investment has no effect as t-statistic is less than 2. In the same manner, the dummy variable has no statistical significance at 5% level on the demand for mobile telecommunication during economic crashes. This implies that the effect of economic crash or economic downtime in South Korea in 1997 is statistically insignificant in relation to demand for mobile telecommunication.

The paper makes a survey of the optical fiber network installed at Deenbandhu Chhotu Ram University of Science and Technology (DCRUST) using reliability analysis, cost-benefit analysis and performance evaluation. Various reliability modeling-related aspects to calculate the reliability of the system have been analyzed. The proposed Markov model includes two units: one is operative unit and the other is hotstandby unit. Hotstandby unit is an optical fiber-based ring which acts as a protection ring. Operative unit is Optical Fiber Cable (OFC) of DCRUST. If working path (operative unit) fails, communication is done through protection path (hotstandby); if both units fail, then the whole system fails. Inspection, repair and replacement are done by regular repairman. The paper also includes a study of various measures of system effectiveness, different reliability parameters to evaluate profit and other measures related to the system. Graphical analysis between various system parameters has also been made.