A novel model to eliminate the doubly near‐far problem in wireless powered communication network
Abstract In this paper, the newly emerging wireless powered communication network is studied. In doing so, the performance of the global controller (GC) is evaluated, which coordinates the wireless energy transmissions between two sensor nodes. Both the sensors have the same harvested energy for upl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-07-01
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| Series: | IET Communications |
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| Online Access: | https://doi.org/10.1049/cmu2.12167 |
| _version_ | 1811296940657213440 |
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| author | Jitendra Singh Akanksha Chaturvedi Sandeep Sharma Abhilash Singh |
| author_facet | Jitendra Singh Akanksha Chaturvedi Sandeep Sharma Abhilash Singh |
| author_sort | Jitendra Singh |
| collection | DOAJ |
| description | Abstract In this paper, the newly emerging wireless powered communication network is studied. In doing so, the performance of the global controller (GC) is evaluated, which coordinates the wireless energy transmissions between two sensor nodes. Both the sensors have the same harvested energy for uplink (UL) transmission of information through time‐division‐multiple‐access. Afterwards, the information transmission time is optimised to maximise the common throughput of both the sensors with a total time constraint based on the user's UL channels along with the same harvested energy value. Further, due to the “doubly near‐far” phenomenon, a remote sensor from the GC, which has poor channel conditions than a nearer user, has to transmit more time in the UL for maximum common throughput. To overcome this problem, the energy exchange (EEx) model is proposed where both sensors first harvest the same amount of wireless energy and then exchange energy to nullify the different channel conditions between sensors and GC to send their independent information in the UL. Simulation results demonstrate the EEx Model's effectiveness over without energy exchange (WEEx) model in eliminating the doubly near‐far problem in wireless powered communication network but at the cost of maximum sum‐throughput. The maximum sum‐throughput of the proposed EEx model is 35% lower than the WEEx model. However, the average BER in the proposed EEx model is 74.6% lower than the WEEx model, which increases the reliability of the model. |
| first_indexed | 2024-04-13T05:55:55Z |
| format | Article |
| id | doaj.art-6899685594b34c2a890eb77e6acb3fe1 |
| institution | Directory Open Access Journal |
| issn | 1751-8628 1751-8636 |
| language | English |
| last_indexed | 2024-04-13T05:55:55Z |
| publishDate | 2021-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Communications |
| spelling | doaj.art-6899685594b34c2a890eb77e6acb3fe12022-12-22T02:59:37ZengWileyIET Communications1751-86281751-86362021-07-0115121539154710.1049/cmu2.12167A novel model to eliminate the doubly near‐far problem in wireless powered communication networkJitendra Singh0Akanksha Chaturvedi1Sandeep Sharma2Abhilash Singh3Department of Electrical Engineering Indian Institute of Technology Kanpur Kanpur Uttar Pradesh IndiaSubir Chowdhury School of Quality and Reliability Indian Institute of Technology Kharagpur Kharagpur West Bengal IndiaSchool of Information and Communication Technology Gautam Buddha University Noida Uttar Pradesh IndiaFluvial Geomorphology and Remote Sensing Laboratory Indian Institute of Science Education and Research Bhopal Bhopal Madhya Pradesh IndiaAbstract In this paper, the newly emerging wireless powered communication network is studied. In doing so, the performance of the global controller (GC) is evaluated, which coordinates the wireless energy transmissions between two sensor nodes. Both the sensors have the same harvested energy for uplink (UL) transmission of information through time‐division‐multiple‐access. Afterwards, the information transmission time is optimised to maximise the common throughput of both the sensors with a total time constraint based on the user's UL channels along with the same harvested energy value. Further, due to the “doubly near‐far” phenomenon, a remote sensor from the GC, which has poor channel conditions than a nearer user, has to transmit more time in the UL for maximum common throughput. To overcome this problem, the energy exchange (EEx) model is proposed where both sensors first harvest the same amount of wireless energy and then exchange energy to nullify the different channel conditions between sensors and GC to send their independent information in the UL. Simulation results demonstrate the EEx Model's effectiveness over without energy exchange (WEEx) model in eliminating the doubly near‐far problem in wireless powered communication network but at the cost of maximum sum‐throughput. The maximum sum‐throughput of the proposed EEx model is 35% lower than the WEEx model. However, the average BER in the proposed EEx model is 74.6% lower than the WEEx model, which increases the reliability of the model.https://doi.org/10.1049/cmu2.12167Multiple access communicationWireless sensor networksOptimisation techniquesEnergy harvestingEnergy harvestingTelecommunication systems (energy utilisation) |
| spellingShingle | Jitendra Singh Akanksha Chaturvedi Sandeep Sharma Abhilash Singh A novel model to eliminate the doubly near‐far problem in wireless powered communication network IET Communications Multiple access communication Wireless sensor networks Optimisation techniques Energy harvesting Energy harvesting Telecommunication systems (energy utilisation) |
| title | A novel model to eliminate the doubly near‐far problem in wireless powered communication network |
| title_full | A novel model to eliminate the doubly near‐far problem in wireless powered communication network |
| title_fullStr | A novel model to eliminate the doubly near‐far problem in wireless powered communication network |
| title_full_unstemmed | A novel model to eliminate the doubly near‐far problem in wireless powered communication network |
| title_short | A novel model to eliminate the doubly near‐far problem in wireless powered communication network |
| title_sort | novel model to eliminate the doubly near far problem in wireless powered communication network |
| topic | Multiple access communication Wireless sensor networks Optimisation techniques Energy harvesting Energy harvesting Telecommunication systems (energy utilisation) |
| url | https://doi.org/10.1049/cmu2.12167 |
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