The IUP Journal of Telecommunications
Application of Green Communication in Energy-Saving Transmissions of OFDMA-Based Multicarrier Base Stations

Article Details
Pub. Date : May, 2020
Product Name : The IUP Journal of Telecommunications
Product Type : Article
Product Code : IJTC30520
Author Name : Ravi Shankar, Khushboo, Mrinal Darshan, Ritesh Kumar Mishra
Availability : YES
Subject/Domain : Engineering
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No. of Pages : 12

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Abstract

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.


Description

Carrier Aggregation (CA) is a promising method in the fourth-generation (4G) mobile communication (Yuan et al., 2010). For achieving higher total channel throughput, multiple Component Carrier (CC) was utilized based on respective transceivers for wireless transmission. At present, LTE-A is a typical 4G wireless communication standard (Yuan et al., 2010; and Parikh et al., 2011). It is represented in 3rd Generation-Partnership-Project (3GPP). In case of microlevel base station activation, a transmitter plus receiver (transceiver) results in high energy (large-scale) consumption (Sreekanth and Kavitha, 2016). Emission of CO2 (greenhouse gas) has become a major cause in today's world due to large-scale energy consumption in accessing a network. In this scenario, green communication plays a major role in minimization of total energy consumption, while considering power-sharing by means of resting the objective values for maximization of the total network data throughput. Comprehensive analysis has been done by many authors (Capozzi et al., 2013; and Sreekanth and Kavitha, 2016) for radio-resource management design, power allocation and packet-scheduling mechanism for improving the system performance. For improvement of the system performance, a joint adaptive Sub-Carrier (SC), bit and power-sharing algorithm is presented. An optimal power allocation procedure was derived by Baliga et al. (2011) and Tung et al. (2012). They provided efficient radio-resource allocation and packet-scheduling (cross-layer). Tung et al. (2012) demonstrated an algorithm for power allocation among cellular users. They proposed a packet scheduling algorithm based on water filling for CC for minimization of transmission delay. Jalali et al. (2000) proposed an efficient and fast-allocation mechanism to reduce the entire system utility. However, these studies have not considered green communication technology to reduce the overall energy consumption. Such algorithms are not appropriate to present day-limited power availability and they are not capable of handling energy concept issues.


Keywords

Power consumption, Green communication, Long-Term Evolution (LTE) advanced, Quality-of-Service (QoS)

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