A Game Theoretic Framework for Green HetNets Using D2D Traffic Offload and Renewable Energy Powered Base Stations

Base Station ◽

Base Stations ◽

Nash Bargaining ◽

Bargaining Solution ◽

Green Communications ◽

Game Theoretic

This chapter investigates the interplay between cooperative device-to-device (D2D) communications and green communications in LTE heterogeneous networks (HetNets). Two game theoretic concepts are studied and analyzed in order to perform dynamic HetNet base station (BS) on/off switching. The first approach is a coalition-based method whereas the second is based on the Nash bargaining solution. Afterwards, a method for coupling the BS on/off switching approach with D2D collaborative communications is presented and shown to lead to increased energy efficiency. The savings are additionally increased when a portion of the small cell BSs in a HetNet are powered by renewable energy sources. Different utility functions, modeling the game theoretic framework governing the energy consumption balance between the cellular network and the mobile terminals (MTs), are proposed and compared, and their impact on MT quality of service (QoS) is analyzed.

Fair and Efficient Rate Allocation for Wireless-Powered Machine-Type Communication Networks

Mobile Information Systems ◽

10.1155/2019/3286356 ◽

2019 ◽

Vol 2019 ◽

pp. 1-11

Author(s):

Nanxing Liao ◽

Guopeng Zhang ◽

Jiansheng Qian ◽

Deqiang Cheng ◽

Kun Yang

Keyword(s):

Communication Networks ◽

Rate Allocation ◽

Nash Bargaining ◽

Bargaining Solution ◽

Network Resource ◽

Machine Type ◽

Machine Type Communications ◽

Game Theoretic ◽

The Difference

This paper proposes a bargaining game theoretic rate allocation scheme for wireless-powered machine-type communications (MTCs). In the considered body area MTC network (MTCN), a battery-powered user equipment (UE) acting as the MTC gateway (MTCG) is responsible for collecting the information uploaded by in/on body wireless-powered MTC devices (MTCDs). By solving the Nash bargaining solution (NBS) of the proposed cooperative game, the minimum rate requirements of the MTCDs are satisfied. In addition, the network resource can be allocated to the MTCDs in a fair and efficient manner regarding the difference of their channel qualities. In comparison to other traditional resource allocation methods, the simulation results show that the proposed NBS-based method obtains a good tradeoff between the system efficiency and per-node fairness.

Nash Bargaining Solution Allocation is Not Suitable for Datacenter Jobs

International Game Theory Review ◽

10.1142/s0219198917500013 ◽

2017 ◽

Vol 19 (01) ◽

pp. 1750001

Author(s):

Ilya Nikolaevskiy ◽

Andrey Lukyanenko ◽

Andrei Gurtov

Keyword(s):

Bandwidth Allocation ◽

Strategic Behavior ◽

Nash Bargaining ◽

Bargaining Solution ◽

Theoretic Approach ◽

Multiple Resources ◽

Datacenter Networks ◽

Game Theoretic ◽

Game Theoretic Approach

The Nash Bargaining Solution (NBS) has been broadly suggested as an effective solution for the problem of fair allocation of multiple resources, namely bandwidth allocation in datacenters. In spite of being thoroughly studied, and provably strategy-proof for most scenarios, NBS-based allocation methods lack research on the strategic behavior of tenants in the case of proportionality of resource demands, which is common in datacenter workloads. We found that misbehavior is beneficial: by lying about bandwidth demands tenants can improve their allocations. We show that a sequence of selfish improvements leads to trivial demand vectors for all tenants. It essentially removes sharing incentives which are very important for datacenter networks. In this paper, we analytically prove that tenants can misbehave in 2- and 3- tenants cases. We show that misbehavior is possible in one recently proposed NBS-based allocation system if proportionality of demands is taken into account. Monte Carlo simulations were done for 2–15 tenants to show a misbehavior possibility and its impact on aggregated bandwidth. We propose to use another game-theoretic approach, namely Dominant Resource Fairness (DRF) to allocate bandwidth in the case of proportional demands. We show that this method performs significantly better than NBS after misbehavior.

Renewable energy assisted traffic aware cellular base station energy cooperation

10.32920/14639622 ◽

2021 ◽

Author(s):

Faran Ahmed ◽

Muhammad Naeem ◽

Waleed Ejaz ◽

Muhammad Iqbal ◽

Alagan Anpalagan ◽

...

Keyword(s):

Renewable Energy ◽

Energy Cost ◽

Cost Minimization ◽

Northern Region ◽

Base Station ◽

Base Stations ◽

Solar Irradiation ◽

Energy Sources ◽

Energy Cooperation

With global concern for climate change, and for cutting down the energy cost, especially in off grid areas, use of renewable energy has been gaining widespread attention in many areas including cellular communication. The base station (BS) has emerged as a strong candidate for the integration of renewable energy sources (RES), particularly solar and wind. The incorporation of renewable energy opens many possibilities for energy conservation through strategies such as energy cooperation between BSs during the off-peak hours, when the energy harvested from renewable energy sources may become surplus. In this paper, we present the case for cellular BSs enabled with renewable energy sources (RES) to have an arrangement in which the BS provide surplus energy to a neighboring BS, thus minimizing the use of conventional energy. A realistic objective is developed for northern region of Pakistan, which entails modeling of solar panels and wind-turbine according to the average solar irradiation and wind speed of the region. We also model the dynamic load of the BS, which depicts temporal fluctuations with traffic variations. Based on these models we initiate an energy cooperation scheme between the BS in which an energy cost minimization framework is mathematically modeled and solved through the interior point method algorithm. Results are obtained for different times of the year for different number of base stations showing respective energy cost savings. Keywords: Base station Cooperation; alternate energy; cellular networks

Renewable energy assisted traffic aware cellular base station energy cooperation

10.32920/14639622.v1 ◽

2021 ◽

Author(s):

Faran Ahmed ◽

Muhammad Naeem ◽

Waleed Ejaz ◽

Muhammad Iqbal ◽

Alagan Anpalagan ◽

...

Keyword(s):

Renewable Energy ◽

Energy Cost ◽

Cost Minimization ◽

Northern Region ◽

Base Station ◽

Base Stations ◽

Solar Irradiation ◽

Energy Sources ◽

Energy Cooperation

With global concern for climate change, and for cutting down the energy cost, especially in off grid areas, use of renewable energy has been gaining widespread attention in many areas including cellular communication. The base station (BS) has emerged as a strong candidate for the integration of renewable energy sources (RES), particularly solar and wind. The incorporation of renewable energy opens many possibilities for energy conservation through strategies such as energy cooperation between BSs during the off-peak hours, when the energy harvested from renewable energy sources may become surplus. In this paper, we present the case for cellular BSs enabled with renewable energy sources (RES) to have an arrangement in which the BS provide surplus energy to a neighboring BS, thus minimizing the use of conventional energy. A realistic objective is developed for northern region of Pakistan, which entails modeling of solar panels and wind-turbine according to the average solar irradiation and wind speed of the region. We also model the dynamic load of the BS, which depicts temporal fluctuations with traffic variations. Based on these models we initiate an energy cooperation scheme between the BS in which an energy cost minimization framework is mathematically modeled and solved through the interior point method algorithm. Results are obtained for different times of the year for different number of base stations showing respective energy cost savings. Keywords: Base station Cooperation; alternate energy; cellular networks

Distributed quality of service provision using coalitions and the Nash bargaining solution

IET Communications ◽

10.1049/iet-com.2012.0466 ◽

2013 ◽

Vol 7 (4) ◽

pp. 340-348 ◽

Cited By ~ 2

Author(s):

Stefanos Vatsikas ◽

Tim Lewis ◽

Marina De Vos ◽

Simon Armour

Keyword(s):

Quality Of Service ◽

Service Provision ◽

Nash Bargaining ◽

Bargaining Solution

Renewable Energy Sources for Power Supply of Base Station Sites

International Journal of Business Data Communications and Networking ◽

10.4018/jbdcn.2013070104 ◽

2013 ◽

Vol 9 (3) ◽

pp. 53-74 ◽

Cited By ~ 12

Author(s):

Josip Lorincz ◽

Ivana Bule

Keyword(s):

Renewable Energy ◽

Power Supply ◽

Rural Areas ◽

Mobile Network ◽

Base Station ◽

Base Stations ◽

Energy Sources ◽

Research Activity ◽

Electricity Grid

An overview of research activity in the area of powering base station sites by means of renewable energy sources is given. It is shown that mobile network operators express significant interest for powering remote base stations using renewable energy sources. This is because a significant percentage of remote base station sites on the global level are still diesel powered due to lack of connections to the electricity grid. Besides huge expenses that mobile operators pay for diesel fuel and its transport to base station sites, it is pointed out that such base station sites represent major pollutants due to enormous green-house gas emissions. Since base stations are major consumers of cellular networks energy with significant contribution to operational expenditures, powering base stations sites using the energy of wind, sun, fuel cells or a combination gain mobile operators’ attention. It is shown that powering base station sites with such renewable energy sources can significantly reduce energy costs and improve the energy efficiency of the base station sites in rural areas. In addition, technical descriptions of the different power supply systems based on renewable sources with corresponding energy controllers for scheduling the flow of energy to power base station sites are discussed. According to the presented, hybrid systems which combine different renewable energy sources outperform those with only one energy source, and depend on the configuration of base stations installed on a particular site, such systems can offer autonomous functionality throughout the year.