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  • 1
    Language: English
    In: Journal of creating value, 2016-11, Vol.2 (2), p.176-193
    Description: Abstract The phenomenon of value creation is witnessing a shift towards value co-creation, particularly in collaborative relationship. This study explores and prioritizes drivers enabling value co-creation from the perspectives of client and service provider in the context of IT-services outsourcing. An extensive literature review and subsequent pilot study suggest six probable value drivers that are further, statistically validated and prioritized. The unit of analysis is front-line professionals, working with either party. A web-based survey was administered to collect data from 256 respondents, drawn using judgemental sampling. Strategic Intent and Service Actualization are found to be significant and common value drivers for both parties (client and service provider), though with different priorities. The other significant value drivers are found to be Collective Capabilities for client and Intrapreneurship for service provider (these value drivers are not common to the client and service provider). This study reiterates and crystallizes the understanding of value co-creation process in the context of IT-services outsourcing. The identified drivers would enable practitioners to understand and to reconcile the drivers for client(s) and service provider(s) in order to realize the respective value outcome. The commonality of two value drivers; strategic intent and service actualization for both clients and service providers indicates the opportunity for co-creation of value.
    Subject(s): Outsourcing
    ISSN: 2394-9643
    E-ISSN: 2454-213X
    Source: SAGE Complete A-Z List
    Source: © ProQuest LLC All rights reserved〈img src="https://exlibris-pub.s3.amazonaws.com/PQ_Logo.jpg" style="vertical-align:middle;margin-left:7px"〉
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  • 2
    Language: English
    In: IEEE communications letters, 2016-08, Vol.20 (8), p.1607-1610
    Description: Undoubtedly, the Internet of Things (IoT) is the next big revolution in the field of wireless communication networks. IoT is an invisible network, which connects the physical world to the virtual world. Seamless Internet connectivity is essential between these two worlds for IoT to become a reality. In this aspect, long-term evolution advanced (LTE-A) is a promising technology, which meets the requirements of IoT. However, an exponential increase in the number of IoT devices will increase the energy consumption at base stations in LTE-A. Therefore, in this letter, we study the downlink energy efficiency aspect of LTE-A in the IoT networks. We propose a power control and resource block allocation scheme called breathing for an IoT network. Simulation results have shown that breathing performs better than the traditional maximum power allocation scheme and greedy power reduction scheme in terms of energy efficiency, system throughput, and system blocking.
    Subject(s): Base stations ; internet of things ; resource block allocation ; Interference ; energy efficiency ; Femto cell assisted cellular network ; Downlink ; Internet ; Resource management ; LTE ; Long Term Evolution ; Signal to noise ratio
    ISSN: 1089-7798
    E-ISSN: 1558-2558
    Source: IEEE Electronic Library (IEL)
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  • 3
    Language: English
    In: IEEE systems journal, 2018-03, Vol.12 (1), p.971-980
    Description: Adding Femto Base Stations (FBSs) has become a common approach toward capacity and coverage enhancements in the current cellular networks. Moreover, rapidly growing demand for capacity results in ultradense deployments of FBS and these skyrocket the energy consumption of the cellular networks. Thus, increasing Energy Efficiency (EE) has gained great importance in small cell research to minimize the impact on the environment. In this paper, we first model a problem to maximize the EE of an FBS network. Then, we suggest a heuristic approach to calculate the transmission power of FBSs in terms of spreading factors that maximize the EE of the network while protecting User Equipments' (UEs') signal to interference plus noise ratio threshold and quality of service requirements. Moreover, transmit power spreading decreases energy consumption and co-tier interference among neighboring FBSs. The proposed approach does not require any feedback from neighboring FBSs but depends on the channel quality indicator from its associated UEs. The study is carried out in two different scenarios: outdoor with open access mode FBSs and indoor with closed access mode FBSs. The simulation results indicate increase in FBS network EE and energy saving without any loss in throughput. The results depict up to 〈inline-formula〉〈tex-math notation="LaTeX"〉54.2\%〈/tex-math〉 〈/inline-formula〉 gain in EE in indoor scenario with closed access FBSs and up to 〈inline-formula〉 〈tex-math notation="LaTeX"〉7.2\%〈/tex-math〉〈/inline-formula〉 gain in EE in outdoor scenario with open access FBSs.
    Subject(s): Energy consumption ; Energy efficiency (EE) ; macrofemto cellular network ; resource allocation ; Power control ; Interference ; Quality of service ; Resource management ; Optimization ; Signal to noise ratio ; Computer simulation ; Heuristic methods ; Environmental impact ; Power consumption ; Cellular communication ; Radio equipment ; Energy transmission ; Energy conservation ; Spreading ; Energy efficiency ; Power efficiency ; Noise threshold
    ISSN: 1932-8184
    E-ISSN: 1937-9234
    Source: IEEE Electronic Library (IEL)
    Source: © ProQuest LLC All rights reserved〈img src="https://exlibris-pub.s3.amazonaws.com/PQ_Logo.jpg" style="vertical-align:middle;margin-left:7px"〉
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  • 4
    Language: English
    Subject(s): Distributed processing ; Electronic data processing ; Congresses ; Wireless communication systems ; Mobile computing ; Network computers
    ISBN: 9783540774433
    ISBN: 3540774432
    Source: SpringerLINK Lecture Notes in Computer Science Contemporary (1997-present)
    Source: SpringerLINK Lecture Notes in Computer Science (2015)
    Source: © ProQuest LLC All rights reserved〈img src="https://exlibris-pub.s3.amazonaws.com/PQ_Logo.jpg" style="vertical-align:middle;margin-left:7px"〉
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  • 5
    Language: English
    In: IEEE transactions on mobile computing, 2017-11-01, Vol.16 (11), p.3014-3027
    Description: With a wide range of applications, Machine-to-Machine (M2M) communication has become an emerging technology for connecting generic machines to the Internet. To ensure ubiquity in connections across all machines, it is necessary to have a standard infrastructure, such as 3GPP LTE-A network infrastructure, that facilitates such type of communications. However, owing to the huge scale of machines to be deployed in near future and the nature of data transactions, ensuring ubiquitous connections among all the machines will be difficult. Solutions that not only maintain connectivity but also route machine data in a cost effective manner are the need of the hour. In this context, it has been suggested that Device-to-Device (D2D) communication can play a very important role in expanding network coverage and routing the data between source-destination machine pairs. In this paper, we conduct a feasibility study to highlight the impact of multi-hop D2D communication in increasing the network coverage and average rate of a Machine Type Communication (MTC) device. We present a stochastic geometry based framework to analyze the coverage probability and average data rate of a three-hop M2M network deployed along with User Equipments (UEs) and conduct extensive simulations to study the system performance. Our simulation results show that the three-hop M2M network formed from out-of-range MTC devices and UEs can significantly improve the coverage and average rate of the entire network. Due to the mobility of users in the network, design of robust routing mechanisms in such a time evolving network becomes difficult. Hence, we suggest the use of space-time graph built from the predicted user locations to design a cost efficient multi-hop D2D topology that enables routing of MTC data to its destination.
    Subject(s): coverage ; D2D communication ; Stochastic processes ; M2M communication ; Routing ; Device-to-device communication ; stochastic geometry ; Cellular networks ; Machine-to-machine communications ; average rate ; Network topology ; Spread spectrum communication ; LTE-A network ; Long Term Evolution
    ISSN: 1536-1233
    E-ISSN: 1558-0660
    Source: IEEE Electronic Library (IEL)
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