Energy-efficient resource allocation in multiuser OFDM systems with wireless information and power transfer
Ng DWK, Lo ES, Schober R (2013)
Publication Type: Conference contribution
Publication year: 2013
Pages Range: 3823-3828
Conference Proceedings Title: IEEE Wireless Communications and Networking Conference, WCNC
Event location: Shanghai
ISBN: 9781467359399
DOI: 10.1109/WCNC.2013.6555184
Abstract
In this paper, we study the resource allocation algorithm design for multiuser orthogonal frequency division multiplexing (OFDM) downlink systems with simultaneous wireless information and power transfer. The algorithm design is formulated as a non-convex optimization problem for maximizing the energy efficiency of data transmission (bit/Joule delivered to the users). In particular, the problem formulation takes into account the minimum required system data rate, heterogeneous minimum required power transfers to the users, and the circuit power consumption. Subsequently, by exploiting the method of timesharing and the properties of nonlinear fractional programming, the considered non-convex optimization problem is solved using an efficient iterative resource allocation algorithm. For each iteration, the optimal power allocation and user selection solution are derived based on Lagrange dual decomposition. Simulation results illustrate that the proposed iterative resource allocation algorithm achieves the maximum energy efficiency of the system and reveal how energy efficiency, system capacity, and wireless power transfer benefit from the presence of multiple users in the system. © 2013 IEEE.
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APA:
Ng, D.W.K., Lo, E.S., & Schober, R. (2013). Energy-efficient resource allocation in multiuser OFDM systems with wireless information and power transfer. In IEEE Wireless Communications and Networking Conference, WCNC (pp. 3823-3828). Shanghai, CN.
MLA:
Ng, Derrick Wing Kwan, Ernest S. Lo, and Robert Schober. "Energy-efficient resource allocation in multiuser OFDM systems with wireless information and power transfer." Proceedings of the 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013, Shanghai 2013. 3823-3828.
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