Title :
Resource Allocation Scheme for Energy Saving in Heterogeneous Networks
Author :
Xun Sun ; Shaowei Wang
Author_Institution :
Sch. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China
Abstract :
Energy efficiency in communication networks has received increasing attention in both industry and academia. In this paper, we investigate the energy saving issue in a heterogeneous network (HetNet), which is introduced to cellular radio networks to improve capacity and enhance coverage. A HetNet consists of base stations (BSs) with different transmission powers, resulting in systematic power control that is more complex than that in the conventional cellular networks. The main difficulty is addressing the mutual interference between different kinds of BSs. In this paper, we try to minimize the power consumption of an OFDM-based HetNet while satisfying all users´ rate requirements, as well as considering the inter-cell interference. Our general problem formulation leads to a nonconvex optimization task that is generally hard to tackle. We derive a concave lower bound of user´s achievable rate for a given power allocation, based on which an efficient iterative algorithm is developed to solve the formulated problem efficiently. Numerical results show that our proposed resource allocation scheme works well in different scenarios. The energy consumption of the cellular system is reduced dramatically compared to other schemes. Moreover, our proposed algorithm converges quickly and stably, showing great potential for applications.
Keywords :
cellular radio; concave programming; energy conservation; iterative methods; power control; radiofrequency interference; telecommunication power management; BS; OFDM-based HetNet; base station; cellular radio network coverage enhancement; concave lower bound; energy saving; heterogeneous network capacity enhancement; intercell interference; iterative algorithm; nonconvex optimization; power allocation; power consumption minimization; power control; resource allocation scheme; Algorithm design and analysis; Energy consumption; Interference; Optimization; Resource management; Signal to noise ratio; Wireless communication; Energy efficiency; heterogeneous network; interference management; nonconvex optimization;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2015.2420558