This article discusses the potential for energy-saving enabled by SWIPT networks, which simultaneously transfer information and power wirelessly. The authors explain that previous works have focused on system-level analysis but neglected the effects of resource allocation and scheduling among users, which are crucial for accurate modeling. They propose a new approach to evaluate the overall potential for energy-saving in SWIPT networks, taking into account the per-bit delays and harvested power perceived by each user. The authors use metaphors to explain complex concepts, such as comparing the shared BS time among users to a buffet with limited dishes or a traffic jam on the information highway. They demonstrate that their approach can accurately model the main performance trade-offs, including per-bit delays and harvested power, for various scenarios. The article provides valuable insights for designing and optimizing SWIPT networks to achieve system-level energy proportionality.
I. Introduction
- Introduces SWIPT networks as a promising technology for wireless communication and power transfer
- Highlights the challenge of evaluating their energy-saving potential due to complex interactions among users
II. Background and Related Work
- Discusses the recent advancements in SWIPT networks, including simultaneous wireless information and power transfer (SWIPT)
- Summarizes previous works on system-level analysis of SWIPT networks but notes their limitations in accounting for resource allocation and scheduling among users
- Introduces the need for a more comprehensive approach to evaluate energy-saving potential in SWIPT networks
III. Proposed Approach
- Describes the proposed approach for evaluating energy-saving potential in SWIPT networks, which includes:
- Characterizing main performance parameters, such as per-bit delays and harvested power perceived by each user
- Developing a novel expression for the power harvested by a user based on the received power and system parameters
- Incorporating the effects of resource allocation and scheduling among users to accurately model performance trade-offs
- Illustrates the proposed approach through examples and simulations
IV. Results and Discussion
- Presents the results of applying the proposed approach to various scenarios, demonstrating its accuracy in modeling main performance trade-offs
- Compares the proposed approach with existing works and highlights its advantages in accounting for resource allocation and scheduling among users
- Discusses the implications of the results for designing and optimizing SWIPT networks to achieve system-level energy proportionality
V. Conclusion
- Summarizes the main findings and contributions of the article
- Emphasizes the importance of considering resource allocation and scheduling among users in evaluating energy-saving potential in SWIPT networks
- Outlines future research directions to further improve the accuracy and applicability of the proposed approach
Note: The article uses mathematical notation and equations to present the proposed approach and results, which are not included in this summary.
