Distributed downlink user association in small cell networks with energy harvesting

We consider a user assignment problem in small cell networks, where small cells obtain the required energy through ambient energy harvesting. We model the network as a competitive market with uncertainty, where small cells, represented as consumers, are willing to maximize their utility scores by selecting users, represented as commodities. Small cells are uncertain about the amount of harvested energy, formulated as natures' state. The solution is the general equilibrium under uncertainty, also called Arrow-Debreu equilibrium. We show that in our setting such equilibrium exists, and is Pareto optimal in terms of expected aggregate network utility. Besides, we use the Walras' tatonnement process to implement equilibrium efficiently.

[1]  R. H. Strotz Theory of Value: An Axiomatic Analysis of Economic Equilibrium. , 1961 .

[2]  H. Uzawa Walras' Tâtonnement in the Theory of Exchange , 1960 .

[3]  Luis Alonso,et al.  Energy-efficient user association in cognitive heterogeneous networks , 2014, IEEE Communications Magazine.

[4]  Branka Vucetic,et al.  Joint User Association and Resource Allocation in the Downlink of Heterogeneous Networks , 2016, IEEE Transactions on Vehicular Technology.

[5]  Ekram Hossain,et al.  Evolution toward 5G multi-tier cellular wireless networks: An interference management perspective , 2014, IEEE Wireless Communications.

[6]  Walid Saad,et al.  A college admissions game for uplink user association in wireless small cell networks , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[7]  Walid Saad,et al.  A context-aware matching game for user association in wireless small cell networks , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[8]  Walid Saad,et al.  Matching theory for priority-based cell association in the downlink of wireless small cell networks , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[9]  Thomas Wirth,et al.  Distributed Channel Assignment in Cognitive Radio Networks: Stable Matching and Walrasian Equilibrium , 2014, IEEE Transactions on Wireless Communications.

[10]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[11]  Ahmed S. Ibrahim,et al.  Traffic-aware user association technique for dynamic on/off switching of small cells , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).

[12]  Li-Sha Huang,et al.  General Equilibrium , 2008, Encyclopedia of Algorithms.