The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we investigate the delay and delay-constrained throughput performance of a point-to-point wireless-powered communication system, where one node, e.g. a user equipment (UE), is powered by the wireless energy transferred from the other node, e.g. an access point (AP), and uses the harvested wireless energy to send data to the other node. Our focus is on the delay performance of sending...
This paper considers machine-to-machine (M2M) communication for wireless-powered Internet-of-Things (IoT) based networking systems. Motivated by the observation that transmitting signals generally requires more energy than receiving signals for most IoT-based systems, we study a special wireless-powered M2M communication system in which the receiver can send its surplus energy to the transmitter....
We consider the energy harvesting two user Gaussian multiple access channel (MAC), where both users harvest energy from nature. The users cooperate at the physical layer (data cooperation) by establishing common messages through overheard signals and then cooperatively sending them. In addition, the users cooperate at the battery level (energy cooperation) by wirelessly transferring energy to each...
We consider the energy harvesting two user Gaussian multiple access channel (MAC), where both users harvest energy from nature. The users cooperate at the physical layer (data cooperation) by establishing common messages through overheard signals and then cooperatively sending them. In addition, the users cooperate at the battery level (energy cooperation) by wirelessly transferring energy to each...
The spectrum sharing is able to meet the increasing data transmission requirements over the limited spectrum bands, while the energy harvesting is a promising technique to make the network sustainable by self-recharging the terminals. For the cognitive radio network with one primary link and one secondary link, we propose a time-domain spectrum sharing scheme based on the wireless energy transfer...
Wireless transfer of energy through directed radio frequency waves has the potential to realize perennially operating sensor nodes by replenishing the energy contained in the limited on-board battery. However, the high power energy transfer from energy transmitters (ETs) interferes with data communication, limiting the coexistence of these functions. This paper provides the first experimental study...
In this paper, we consider a decentralized wireless communication system with wireless energy transfer capability. We aim to minimize the total number of packets waiting at wireless nodes for the whole system. We first formulated the optimization problem as a decentralized partially observable Markov decision process (DEC-POMDP). To solve an optimization problem with constraints, we applied the Lagrangian...
This paper proposes a model and a mechanism for cooperative bidding of wireless data transmission and energy transfer in a decentralized wireless communication system. We aim to minimize the total number of packets waiting at wireless nodes and the total bid prices from the nodes. We first formulated the optimization problem as a decentralized partially observable Markov decision process (DEC-POMDP)...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.