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https://hdl.handle.net/20.500.14540/103

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Browsing Engineering by Subject "5G,"

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    ANALYSIS OF ENERGY OPTIMIZATION OF BTS OF 5G NETWORK OVER SDN ENVIRONMENT
    (Pulchowk Campus, 2021-08) SINGH, SONU
    Attracting a huge attention towards energy optimization of mobile communication network as it contains the major part of total energy consumption of Information and Communication Technology (ICT). During low traffic load, the energy is wastage as the design of wireless network is made for maximum traffic load, but the maximum traffic occurs only for few hours. A base station transceiver (BTS) consume more energy than any other network devices used in end access network. Most of the resources of BTS are unused during the low traffic load at night time, which results in unnecessary wastage of energy and decreases energy efficiency. Therefore, to increase the energy efficiency of 5G end access network, the energy optimization of BTS is necessary. In this thesis, the concept of Dynamic Transmitter Sleep (DTS) Technique has introduced over Software Defined Network (SDN) platform to reduce the energy consumption of BTS in 5G network with the addition of smart link sleep approach to save more energy by deactivating network links between network elements of end access network during idle state. During low traffic, DTS approach automatically switch the unnecessary transmitter to sleep mode and wakeup only required transmitter when increasing traffic is noticed, without degrading the Quality of Service (QoS) and to achieve more energy efficiency smart link sleep approach has also implemented which is an SDN based energy optimization technique. This technique is performed over SDN environment where data and control planes are separated providing high flexibility, cost effective and energy efficiency. Hence, DTS technique has applied to the 5G BTS which was simulated in SDN environment where Mininet-WiFi emulator used as network simulation testbed and OpenDayLight as SDN controller. After implementation of DTS mode during low traffic, it saved 34.6% of energy in single BTS and 43.79% of network link energy has been reduced by the use of smart link sleep technique. Therefore, this energy saving approach has potential to reduce noticeable amount of energy consumption under the benefits of SDN.During low traffic load, the energy is wastage as the design of wireless network is made for maximum traffic load, but the maximum traffic occurs only for few hours. A base station transceiver (BTS) consume more energy than any other network devices used in end access network. Most of the resources of BTS are unused during the low traffic load at night time, which results in unnecessary wastage of energy and decreases energy efficiency. Therefore, to increase the energy efficiency of 5G end access network, the energy optimization of BTS is necessary. In this thesis, the concept of Dynamic Transmitter Sleep (DTS) Technique has introduced over Software Defined Network (SDN) platform to reduce the energy consumption of BTS in 5G network with the addition of smart link sleep approach to save more energy by deactivating network links between network elements of end access network during idle state. During low traffic, DTS approach automatically switch the unnecessary transmitter to sleep mode and wakeup only required transmitter when increasing traffic is noticed, without degrading the Quality of Service (QoS) and to achieve more energy efficiency smart link sleep approach has also implemented which is an SDN based energy optimization technique. This technique is performed over SDN environment where data and control planes are separated providing high flexibility, cost effective and energy efficiency. Hence, DTS technique has applied to the 5G BTS which was simulated in SDN environment where Mininet-WiFi emulator used as network simulation testbed and OpenDayLight as SDN controller. After implementation of DTS mode during low traffic, it saved 34.6% of energy in single BTS and 43.79% of network link energy has been reduced by the use of smart link sleep technique. Therefore, this energy saving approach has potential to reduce noticeable amount of energy consumption under the benefits of SDN.