Research Article
Cell Breathing Based on Supply-Demand Model in Overlapping WLAN Cells
@INPROCEEDINGS{10.1007/978-3-642-10625-5_13, author={Shengling Wang and Yong Cui and Ke Xu and Sajal Das and Jianping Wu and Yanping Xiao}, title={Cell Breathing Based on Supply-Demand Model in Overlapping WLAN Cells}, proceedings={Quality of Service in Heterogeneous Networks. 6th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2009 and 3rd International Workshop on Advanced Architectures and Algorithms for Internet Delivery and Applications, AAA-IDEA 2009, Las Palmas, Gran Canaria, November 23-25, 2009 Proceedings}, proceedings_a={QSHINE}, year={2012}, month={10}, keywords={Load balancing cell breathing power assignment}, doi={10.1007/978-3-642-10625-5_13} }- Shengling Wang
Yong Cui
Ke Xu
Sajal Das
Jianping Wu
Yanping Xiao
Year: 2012
Cell Breathing Based on Supply-Demand Model in Overlapping WLAN Cells
QSHINE
Springer
DOI: 10.1007/978-3-642-10625-5_13
Abstract
Introducing cell breathing in cellular networks into wireless local area networks (WLANs) for load balancing is beneficial since no special modification of clients. However, fairness and effectiveness is quite challenging in cell breathing. In this paper, a supply-demand model (SDM) based on cell breathing technique is proposed to allocate continuous or discrete power to APs for fair and effective load balancing. SDM classifies the beacon power of an AP into two kinds: the demand power and the supply power. The former is the ideal power that an AP is supposed to have while the latter is the power the AP actually transmits. Finding the deterministic global optimal solution, SDM makes the demand and supply power as equal as possible and the load on APs balanced. Because SDM does not need multiple iterations to compute the optimum, it can avoid frequent user handoffs resulting from frequent power change. Finally, SDM is extended to support a broader range of load definition and the generalized relationship between beacon power and load. The simulation results show the proposed scheme is fair for realizing load balancing and effective for improving throughput.
