Energy Efficient Resource Allocation Scheme via Auction-Based Offloading in Next-Generation Heterogeneous Networks

Author(s):  
Alexandra Bousia

The focus of this chapter is centered on the network underutilization during low traffic periods (e.g., night zone), which enables the Mobile Network Operators (MNOs) to save energy by having their traffic served by third-party Small Cells (SCs), thus being able to switch off their Base Stations(BSs). In this chapter, a novel market approach is proposed to foster the opportunistic utilization of unexploited SCs capacity, where the MNOs lease the resources of third-party SCs and deactivate their BSs. Motivated by the conflicting interests of the MNOs and the restricted capacity of the SCs, we introduce a combinatorial auction framework. A multiobjective framework is formulated and a greedy auction algorithm is given to provide an energy efficient solution for the resource allocation problem within polynomial time. In addition, an extensive mathematical analysis is given for the calculation of the SCs cost, which is useful in the market framework. Finally, extended experimental results to estimate the potential energy and cost savings are provided.

2014 ◽  
Vol 716-717 ◽  
pp. 1312-1317
Author(s):  
Qi Wen Wan ◽  
Xiang Ming Wen ◽  
Zhao Ming Lu ◽  
Hai Jun Zhang ◽  
Jun Zhao

Energy efficient resource allocation is one of the critical issues for the coordinated multipoint (CoMP) transmission system, where the signal received by each mobile station needs to be converged among multiple base stations (BSs) in the same cluster. However, as the interaction of the system is frequent, the overhead of the backhaul signaling will be enormous. In this paper, an iterative resource allocation and scheduling algorithm (IRASA) with dual method is proposed to solve the optimization problem aiming to maximize the system energy efficiency, which considers the backhaul capacity constraints, circuit power consumption and zero forcing pre-coding (ZFP). Simulation results show that our proposed IRASA can significantly improve the energy efficiency of the system with the backhaul capacity constraints.


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