Energy-Efficient Dynamic Resource Allocation with Energy Harvesting Nodes

A mis padres, In wireless communications, there is a trend to deploy shorter-distance networks to cope with the high demanding necessities of bit-rate that current applications require. In such networks, the power needed for transmission is considerably low, due to proximity between base station and mobile terminals. As a consequence, complex baseband algorithms for signal processing and radio frequency circuitry require an amount of power that is comparable or even higher than the power for transmission. Moreover, energy harvesting techniques, which allows user to collect energy from the environment, are being emerged as a potential solution for battery durability. In this master thesis, the allocation of radio resources in such a scenario is addressed. Nodes are considered to be battery-powered devices with an energy harvesting source that allows them to recharge their batteries. Nodes feed back their battery status information jointly with the channel state information to the scheduler, which makes a resource allocation based on all the energy constraints of the problem and not only taking the transmitted powe