PROJECT TITLE :
Resource Allocation Under Delay-Guarantee Constraints for Heterogeneous Visible-Light and RF Femtocell
The resource-allocation (RA) problems of mobile terminals (MTs) are investigated in a heterogeneous wireless network, where each a visible light-weight communication system and an RF femtocell system are deployed in an exceedingly space. We have a tendency to consider various quality-of-service needs in terms of the info rate, fairness, and statistical delay necessities. Inspired by the concept of effective capability, we formulate our optimization issues applying α-proportional fairness while satisfying specific statistical delay constraints. Two sorts of MTs, namely, multihoming MTs and multimode MTs, are thought-about, where multihoming MTs have the potential of aggregating resources from different networks, whereas the multimode MTs forever select a single network for his or her affiliation. Our optimization procedure solves the RA chance problem for multihoming MTs with the aid of a decentralized algorithm. By distinction, our optimization downside involves both network choice and RA likelihood optimization for multimode MTs, which may be considered a mixed-integer nonlinear drawback. Since this problem is computationally intractable, a suboptimal decentralized method is proposed for solving it. Simulation results are also presented for clarifying the performance of the proposed algorithm. It is shown that the multimode MTs are capable of achieving similar performance to that of the multihoming MTs when the statistical delay necessities are loose. However, for sure, the multihoming MTs attain a higher performance once we tighten the delay necessities.
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