Abstract:

Research on heterogeneous cellular networks with renewable energy supply has drawn much attention in the green wireless networks research field. In the heterogeneous cellular networks with renewable energy supply, a topology potential based user association algorithm is proposed, which can give a tradeoff between energy balancing and load balancing among base stations (BSs). Firstly, the topology potential of users and BSs is defined, which takes the user traffic load, channel capacity between users and BSs, the available renewable energy of BSs into consideration to present the attraction of BSs to users. Then, the BS utility is defined as the sum of the topology potential value of all the associated users. The user association optimization problem for BS utility fairness is modeled, which is solved by the proposed iteration method. Accordingly, the user association is performed by information exchange and iteration between users and BSs, which balances the energy and traffic among BSs. Simulation results show that, the proposed algorithm can achieve load balancing while make the best of renewable energy harvested by BSs, i.e., the use of renewable energy among is balanced.

Key words: heterogeneous cellular network, renewable energy, topology potential, user association, energy balancing