Name
Abstract | ||
|---|---|---|
In this paper, we consider a wireless powered communication system, where an energy harvesting (EH) node harvests energy from a radio frequency (RF) signal broadcasted by an access point (AP) in the downlink (DL). The node stores the harvested energy in an energy buffer and uses the stored energy to transmit data to the AP in the uplink (UL). We investigate two simple transmission policies, namely a best-effort policy and an on-off policy, which do not require knowledge of the EH profile nor of the UL channel state information. In particular, for both policies, the EH node transmits in each time slot with a constant desired power if sufficient energy is available in its energy buffer. Otherwise, the node transmits with the maximum possible power in the best-effort policy and remains silent in the on-off policy in order to preserve its energy for future use. For both policies, we use the theory of discrete-time continuous-state Markov chains to analyze the limiting distribution of the stored energy for finite- and infinite-size energy buffers. We provide this limiting distribution in closed form for a Nakagami-$m$ fading DL channel, i.e., for a Gamma distributed EH process. Furthermore, for a Nakagami-$m$ fading UL channel, we analyze the outage probability and the average throughput for both policies. Our results reveal that, for low-to-medium outage probabilities, the best-effort policy is superior to the on-off policy and the optimal maximum UL transmit power of the EH node that minimizes the outage probability is always less than the average harvested power but increases with the capacity of the energy buffer. The opposite behaviour is observed for high outage probabilities, where turning off the transmission in case of insufficient stored energy results in an improved outage performance compared to always transmitting with best effort. |
Year | Venue | Field |
|---|---|---|
2017 | arXiv: Information Theory | Mathematical optimization,Transmitter power output,Wireless,Fading,Energy harvesting,Communication channel,Computer network,Real-time computing,Throughput,Mathematics,Telecommunications link,Channel state information |
DocType | Volume | Citations |
Journal | abs/1703.02328 | 1 |
PageRank | References | Authors |
0.36 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rania Morsi | 1 | 73 | 5.56 |
| Diomidis S. Michalopoulos | 2 | 597 | 35.11 |
| Robert Schober | 3 | 8448 | 488.41 |