BITS Faculty Publications

Permanent URI for this communityhttp://localhost:4000/handle/123456789/1867

Browse

Filters

2014 - 201932020 - 20221

Settings

Author: search.filters.author.Chamola, VinaySubject: search.filters.subject.Batteries

Search Results

Now showing 1 - 4 of 4
  • No Thumbnail Available
    Item
    A Game Theoretic Analysis for Power Management and Cost Optimization of Green Base Stations in 5G and Beyond Communication Networks
    (IEEE, 2022-09) Chamola, Vinay; Joshi, Sandeep
    Due to the exponential increase in the number of users, the next-generation cellular networks are resource-constrained in power and bandwidth. Power consumption is one of the critical consideration for the next-generation wireless networks, therefore, management of available resources is essential to achieve power efficiency. With the growing incentive to ‘go green’ and to reduce the carbon footprint, the fifth generation (5G) and beyond wireless networks will derive power from renewable sources to solve the energy efficiency problems. This work focuses on integrated regulation of the traditional, i.e., the grid-based and the renewable, i.e., the solar-based power supplies for the 5G and beyond 5G green base stations (BSs) in a smart city scenario. We propose a pricing model for suppliers to charge the BSs for electricity consumption when the renewable power supply cannot meet their total energy requirements. We propose a game-theoretic analysis for cost optimization by proposing two games, i.e., the power control game and the best supplier game. Each BS acts as a game player and has some actions like power reduction and supplier selection to reduce the total energy costs. We also provide the game transition profiles for the BSs. Furthermore, the Nash Equilibrium’s existence is verified for each of these games and an optimal cost solution is proposed for the green BSs.
  • No Thumbnail Available
    Item
    Dimensioning stand-alone cellular base station using series-of-worst-months meteorological data
    (IEEE, 2014) Chamola, Vinay
    This paper presents a methodology for dimensioning the photo-voltaic (PV) and battery requirements of stand-alone, solar-powered cellular base stations. In contrast to existing methodologies that use intuitive methods or are based on Typical Meteorological Year (TMY) data, this paper proposes the use of series-of-worst-months data for dimensioning the base station. The proposed approach has the advantages of higher accuracy as well as being computationally more efficient. The proposed methodology has been verified using real meteorological data for a number of geographical locations.
  • No Thumbnail Available
    Item
    Outage estimation for solar powered cellular base stations
    (IEEE, 2015) Chamola, Vinay
    Solar powered cellular base stations are emerging as a key solution in green cellular networks. A major challenge in the design of such a base station (BS) is finding the optimal cost configuration of the photo-voltaic (PV) panel size and number of batteries which meets a tolerable outage probability with the least cost. One of the fundamental steps in this process is to calculate the outage probability associated with a particular PV panel size and battery size configuration. To address this issue, this paper proposes an analytic model to evaluate the outage probability of a solar powered BS. The proposed model factors in the daily and hourly variations in the harvested solar energy and the traffic dependent BS load, and develops a discrete-time Markov process to model the battery level and thus the outage probability of the BS. Simulation results with empirical solar irradiance data for three different locations are used to validate the proposed model and demonstrate its accuracy.
  • No Thumbnail Available
    Item
    Resource provisioning and dimensioning for solar powered cellular base stations
    (IEEE, 2014) Chamola, Vinay
    The deployment of cellular network infrastructure powered by renewable energy sources is gaining popularity as an avenue to provide coverage in areas without reliable grid power and also as a means to reduce the environmental impact of the telecommunications industry. To facilitate the deployment of such networks, this paper addresses the problem of resource provisioning and dimensioning solar powered base stations in terms of the required battery capacity and photo-voltaic (PV) panel sizing. The paper first develops a framework for evaluating the outage probability associated with a base station at a given location as a function of the battery and panel size, by using the solar energy and traffic profiles as inputs. A model is then proposed to evaluate the optimal battery and PV panel sizing, subject to the desired limit on the worst month outage probability. The proposed framework for dimensioning the base station's energy resource requirements has been evaluated using real solar irradiation data for multiple locations.