2014/09/29 by Xueqing Huang, Huang, Xueqing, Nirwan Ansari +1
Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #Full-Duplex Wireless Communications #Information Theory (cs.IT) #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.1409.8325
An abbreviated version will be presented at IEEE online GreenComm, Nov., 2014
arxiv created 2014/09/29 · openalex publication_date 2014/09/29 · arxiv updated 2014/10/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Through simultaneous energy and information transfer, radio frequency (RF) energy harvesting (EH) reduces the energy consumption of the wireless networks. It also provides a new approach for the wireless devices to share each other's energy storage, without relying on the power grid or traffic offloading. In this paper, we study RF energy harvesting enabled power balancing within the decode-and-forward (DF) relaying-enhanced cooperative wireless system. An optimal power allocation policy is proposed for the scenario where both source and relay nodes can draw power from the radio frequency signals transmitted by each other. To maximize the overall throughput while meeting the energy constraints imposed by the RF sources, an optimization problem is formulated and solved. Based on different harvesting efficiency and channel condition, closed form solutions for optimal joint source and relay power allocation are derived.