Titlebook: Communications and Networking; 11th EAI internation Qianbin Chen,Weixiao Meng,Liqiang Zhao Conference proceedings 2018 ICST Institute for C

Armory

Green Distributed Power Control Algorithm for Multi-user Cognitive Radio Networksd. Simple utility function and time back-off are utilized to facilitate the implementation of distributed algorithm. Simulations show that the proposed algorithm improves the system EE as Pareto improvement is reached. Meanwhile, primary user’s QoS is guaranteed as secondary users transmit with lower power.

Infantry

Optimal Channel Selection and Power Control over D2D Communications Based Cognitive Radio Networkscheme in D2D communications based cognitive radio networks. The extensive simulation results obtained validate our developed joint channel selection and power control scheme. We also show that our developed scheme can significantly increase the average peak signal-to-noise ratio (PSNR) as compared with the existing research works.

cocoon

GOAT

Communications and Networking978-3-319-66628-0Series ISSN 1867-8211 Series E-ISSN 1867-822X

Anonymous

該得

https://doi.org/10.1007/978-1-4615-2750-3lection (RS) in a half-duplex decode-and-forwarding multi-relay network with an energy harvesting source is investigated. Without relying on dedicated wireless power transfer, in our system the source is powered by salvaging energy from the relaying signals. In this network, RS will affect both the

譏笑

Tantalum Oxide-Polymer Composites statistical knowledge of joint EH process. In addition, the wireless channel fluctuates randomly due to fading. Our goal is, under this condition, to develop a dynamic power control policy for the transmitter such that the time average throughput of the system is maximized over an infinite horizon,

彎彎曲曲

scoliosis

Mohamed S. Ahmed,Yosry A. Attiavesting relay. We propose a price-based power allocation scheme to distribute the harvested energy among the multiple users. We model the interaction between the relay and the destinations as a Stackelberg game and then study the joint utility maximization of the relay and the destination. The Stack

happiness