scholarly journals Energy efficiency based on relay station deployment and sleep mode activation of eNBs for 4G LTE-A network

Automatika ◽  
2019 ◽  
Vol 60 (3) ◽  
pp. 322-331 ◽  
Author(s):  
R. Ratheesh ◽  
Pandu Vetrivelan
Keyword(s):  
Energy Efficiency ◽  
Sleep Mode ◽  
Relay Station ◽  
4G Lte

The watchful sleep mode: a new standard for energy efficiency in future access networks

2015 ◽  
Vol 53 (8) ◽  
pp. 150-157 ◽  
Author(s):  
Raisa O. C. Hirafuji ◽  
Kelvin B. da Cunha ◽  
Divanilson R. Campelo ◽  
Ahmad R. Dhaini ◽  
Denis A. Khotimsky
Keyword(s):  
Energy Efficiency ◽  
Access Networks ◽  
Sleep Mode ◽  
Mode A

An Advanced Wireless Sensor Networks Design for Energy-Efficient Applications Using Condition-Based Access Protocol

2021 ◽  
pp. 171-186
Author(s):  
Vijendra Babu D. ◽  
K. Nagi Reddy ◽  
K. Butchi Raju ◽  
A. Ratna Raju
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Energy Efficient ◽  
Network Throughput ◽  
Wireless Sensor ◽  
Sleep Mode ◽  
Medium Access ◽  
Access Protocol ◽  
Battery Lifetime

A modern wireless sensor and its development majorly depend on distributed condition maintenance protocol. The medium access and its computing have been handled by multi hope sensor mechanism. In this investigation, WSN networks maintenance is balanced through condition-based access (CBA) protocol. The CBA is most useful for real-time 4G and 5G communication to handle internet assistance devices. The following CBA mechanism is energy efficient to increase the battery lifetime. Due to sleep mode and backup mode mechanism, this protocol maintains its energy efficiency as well as network throughput. Finally, 76% of the energy consumption and 42.8% of the speed of operation have been attained using CBI WSN protocol.

scholarly journals Improving Energy Efficiency and Minimizing Backhaul Traffic in LTE-A Network with Cooperation and DTX Mechanism

2019 ◽  
Vol 8 (2S11) ◽  
pp. 399-405
Keyword(s):  
Energy Efficiency ◽  
Signal Processing ◽  
Failure Rate ◽  
Energy Efficient ◽  
Acceleration Factor ◽  
Traffic Load ◽  
Sleep Mode ◽  
Transmission Power ◽  
Decision Criteria ◽  
Traffic Loads

The promising approach to enhance energy efficiency (EE) in LTE-A network is to switch underutilized evolved node B (eNB) to sleep mode, but it increases the transmission power to guarantee the coverage under the remaining active eNBs. The increase in transmission power can be reduced by coordinated multi-point (CoMP) technique through eNB cooperation, but this technique consumes extra power due to backhaul traffic and signal processing. This problem can be solved by the proposed energy efficient acceleration factor failure rate (EEAFR) algorithm. The algorithm jointly considers the eNB cooperation and DTX mechanism to minimize the backhaul traffic with less failure rate. Also, to enhance energy efficiency, the proposed algorithm efficiently utilizes the cooperation in all traffic load scenarios based on the decision criteria and DTX mechanism. The results are compared with the existing AFEE and Green CoMP with Backhaul Traffic algorithm. In all the traffic loads EEAFR save 59.8% energy and reduces the network outage which depends on the failure rate of the eNB components

scholarly journals Energy Efficient and Delay Aware 5G Multi-Tier Network

2019 ◽  
Vol 11 (9) ◽  
pp. 1019
Author(s):  
Nahina Islam ◽  
Ammar Alazab ◽  
Johnson Agbinya
Keyword(s):  
Energy Efficiency ◽  
Mobile Network ◽  
Base Station ◽  
Small Cells ◽  
Sleep Mode ◽  
Indoor Environments ◽  
Data Traffic ◽  
5G Networks ◽  
Energy Expenditures ◽  
Markov Decision

Multi-tier heterogeneous Networks (HetNets) with dense deployment of small cells in 5G networks are expected to effectively meet the ever increasing data traffic demands and offer improved coverage in indoor environments. However, HetNets are raising major concerns to mobile network operators such as complex distributed control plane management, handover management issue, increases latency and increased energy expenditures. Sleep mode implementation in multi-tier 5G networks has proven to be a very good approach for reducing energy expenditures. In this paper, a Markov Decision Process (MDP)-based algorithm is proposed to switch between three different power consumption modes of a base station (BS) for improving the energy efficiency and reducing latency in 5G networks. The MDP-based approach intelligently switches between the states of the BS based on the offered traffic while maintaining a prescribed minimum channel rate per user. Simulation results show that the proposed MDP algorithm together with the three-state BSs results in a significant gain in terms of energy efficiency and latency.

Sign in / Sign up

Export Citation Format

Share Document