Resource Allocation In Cellular Networks Based On Simultaneously Data And Energy Transfer

With the rapid development of the wireless communication technologies,it's becoming easier for people to communication with each other.Meanwhile,the more complexed network architecture and the larger user number have bring out the problem that the energy requirement of the users in the network is becoming more difficult to meet.Moreover,the different energy and data requirement of different services are bound to throw a tackle on the road of the development of wireless communications.Hence,here comes the data and energy integrated communication networks.With the aid of energy harvesting and radio frequency(RF)power transfer technologies,the system performance is increased in a high level when the rational data and energy resource allocation algorithms and protocols are obtained..Since the cellular network is playing an important role in our daily lives,it's reasonable to combine the cellular network and DEINs together,which bring about the concept of data and energy integrated cellular networks(DEICNs).A power threshold for the energy harvesting circuit is essential if the receiver want to harvest the energy of the RF signal,which may lead to a more practical scenario.Hence,in this paper,resource allocation in cellular networks based on simultaneously data and energy transfer is studied under the condition of circuit power threshold.DEICNs are divided into two parts,which are single cell DEICNs and multi cell DEICNs respectively.As for the single cell DEICNs,with the aid of dynamically time slot allocation and beamforming design,a fair resource allocation algorithm is obtained to balance the throughput of the network.Further,the algorithm is improved by introducing the element of user data queue.As for the multi cell DEICNs,a data and energy interference coordination approach is proposed,in which joint resource allocation is studied to improve the network throughput under the constraint of energy harvesting.At last,numerical results show that the proposed algorithms can be well adopted and can increase the system performance(throughput or the harvested energy)in a high level,which are also better than the existed model.