Wireless Information and Power Transfer: Energy Efficiency Optimization in OFDMA Systems

By Derrick Wing Kwan Ng, Ernest S. Lo, Robert Schober. IEEE Transactions on Wireless Communications, 2013

558 citations recorded by the source corpus.

This paper considers orthogonal frequency division multiple access (OFDMA) systems with simultaneous wireless information and power transfer. We study the resource allocation algorithm design for maximization of the energy efficiency of data transmission (bits/Joule delivered to the receivers). In particular, we focus on power splitting hybrid receivers which are able to split the received signals into two power streams for concurrent information decoding and energy harvesting. Two scenarios are investigated considering different power splitting abilities of the receivers. In the first scenario, we assume receivers which can split the received power into a continuous set of power streams with arbitrary power splitting ratios. In the second scenario, we examine receivers which can split the received power only into a discrete set of power streams with fixed power splitting ratios. For both scenarios, we formulate the corresponding algorithm design as a non-convex optimization problem which takes into account the circuit power consumption, the minimum data rate requirements of delay constrained services, the minimum required system data rate, and the minimum amount of power that has to be delivered to the receivers. By exploiting fractional programming and dual decomposition, suboptimal iterative resource allocation algorithms are developed to solve the non-convex problems. Simulation results illustrate that the proposed iterative resource allocation algorithms approach the optimal solution within a small number of iterations and unveil the trade-off between energy efficiency, system capacity, and wireless power transfer: (1) wireless power transfer enhances the system energy efficiency by harvesting energy in the radio frequency, especially in the interference limited regime; (2) the presence of multiple receivers is beneficial for the system capacity, but not necessarily for the system energy efficiency.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/08f0fa4dcac60865d1a66b14a1102f9ddd0a6cae

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

Citations in the corpus

Robust Beamforming for Secure Communication in Systems With Wireless Information and Power Transfer (2013, background): “More importantly, wireless energy harvesting technology facilitates the possibility of simultaneous wireless information and power transfer.”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, unknown): “A practical solution is to split the received RF power into two distinct parts, one for energy harvesting and the other for information decoding by implementing time switching [125] or power splitting [126].”
Cognitive and Energy Harvesting-Based D2D Communication in Cellular Networks: Stochastic Geometry Modeling and Analysis (2014, methodology): “On the other hand, tools from optimization theory can be used to model the network and evaluate the shortterm performance to find optimal parameters that maximize certain objective functions [12]–[14].”
A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead (2016, background): “This approach can be taken even further, superimposing the energy signals on regular communication signals, resulting in the so-called simultaneous wireless information and power transfer (SWIPT) [137]–[139].”
Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, background): “Since then, SWIPT has attracted significant interests in the communication literature with works covering a wide range of topics, among others MIMO broadcasting [25], [26], architecture [27], [28], interference channel [29]–[31], broadband system [32]–[34], relaying [35], [36].”
A Survey on Multiple-Antenna Techniques for Physical Layer Security (2017, background): “Recently, simultaneous wireless information and power transfer (SWIPT) receives considerable interests from academia and industry [234]–[237].”
Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems (2015, methodology): “In [4], energy-efficient SWIPT was investigated in multicarrier systems, where power allocation, user scheduling, and subcarrier allocation were considered.”
Simultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges (2018, background): “the system capacity rather than enhancing the system energy efficiency [60].”
Wireless Charging Technologies: Fundamentals, Standards, and Network Applications (2015, background): “, point-to-point channels [250]–[253], broadcast channels [254]–[256], relay channels [257]–[260], OFDMA channels [261], multi-antenna channels with additive white Gaussian noise (AWGN) or fading AWGN [262]–[265], opportunistic channels [266]–[269] and wiretap channels [270]–[273].”
Wireless Information and Power Transfer With Full Duplex Relaying (2014, methodology): “In addition, the energy efficiency of OFDMA systems with SWIPT was studied in [9], and the application of SWIPT in multiuser systems and cellular networks was considered in [10, 11].”
Wireless powered communication: opportunities and challenges (2014, background): “In general, the optimal value τ 0 that results in the highest UL throughput is related to the users’ wireless channel conditions.”
Wireless Networks With RF Energy Harvesting: A Contemporary Survey (2014, background): “The investigation in [165] considers an OFDMA system with SWIPT from an energy efficiency perspective.”