Presentation on theme: "Base Station Deployment and Resource Allocation in Sustainable Wireless Networks 1 Zhongming Zheng, 1 Shibo He, 2 Lin X. Cai, and 1 Xuemin (Sherman) Shen."— Presentation transcript:
Base Station Deployment and Resource Allocation in Sustainable Wireless Networks 1 Zhongming Zheng, 1 Shibo He, 2 Lin X. Cai, and 1 Xuemin (Sherman) Shen 1 Department of Electrical and Computer Engineering University of Waterloo 2 School of Engineering and Applied Science Princeton University HANDBOOK ON GREEN INFORMATION AND COMMUNICATION SYSTEMS Chapter 16
1 Introduction Literature Review System Model Problem Formulation TCGBP Algorithm Numerical Results Conclusion & Future Work Outline
Introduction Energy Sources –Renewable Energy Repeatedly replenished Examples: wind, solar –Non-renewable Energy: Once depleted, no more available Examples: coal, natural gas 2
Introduction Green Wireless Communication Networks – WLAN mesh network structure 3
4 Introduction Literature Review System Model Problem Formulation TCGBP Algorithm Numerical Results Conclusion & Future Work Outline
Literature Review Device Design –PV systems  Probabilistic methods  Simulation model –Energy charging and discharging models  Battery/energy buffer  Power consumption model of BSs 5  H. A. M. Maghraby, M. H. Shwehdi, and G. K. Al-Bassam, Probabilistic assessment of photovoltaic (pv) generation systems, Power Systems, IEEE Transactions on, vol. 17, no. 1, pp. 205–208, Feb. 2002.  E. Lorenzo and L. Navarte, On the usefulness of stand-alone pv sizing methods, Progress in Photovoltaics: Research and Applications, vol. 8, no. 4, pp. 391–409, Aug. 2000.  L. X. Cai, Y. Liu, H. T. Luan, X. Shen, J. W. Mark, and H. V. Poor, Adaptive resource management in sustainable energy powered wireless mesh networks, in IEEE Globecom, Houston, TX, USA, Dec. 5-9 2011, pp. 1–5.  O. Arnold, F. Richter, G. Fettweis, and O. Blume, Power consumption modeling of different base station types in heterogeneous cellular networks, in Future Network & Mobile Summit, Florence, IT, Jun. 16-18 2010, pp. 1–8.
Literature Review Minimal Device Deployment –Continuous Case Direct search  Quasi-Newton methods –Discrete Case  Sustainability  Outage free 6  G. L. Z. Wei and L. Qi, New quasi-newton methods for unconstrained optimization problems, Applied Mathematics and Computation, vol. 175, no. 2, pp. 1156–1188, Apr. 2006.  Z. Zheng, L. X. Cai, M. Dong, X. Shen, and H. V. Poor, Constrained energyaware ap placement with rate adaptation in wlan mesh networks, in IEEE GLOBECOM, Houston, TX, USA, Dec. 5-9 2011, pp. 1–5.  S. A. Shariatmadari, A. A. Sayegh, and T. D. Todd, Energy aware basestation placement in solar powered sensor networks, in IEEE WCNC, Sydney, AUS, Apr. 18-21 2010, pp. 1–6.
Literature Review Resource Allocation –Scheme Design  Traffic scheduling  Admission control and routing  Power control 7  A. A. Hammad, G. H. Badawy, T. D. Todd, A. A. Sayegh, and D. Zhao, Traffic scheduling for energy sustainable vehicular infrastructure, in IEEE GLOBECOM, Miami, FL, USA, Dec. 6-10 2010, pp. 1–6.  L. Lin, N. B. Shroff, and R. Srikant, Asymptotically optimal energy-aware routing for multihop wireless networks with renewable energy sources, Networking, IEEE/ACM Transactions on, vol. 15, no. 5, pp. 1021–1034, Oct. 2007.  A. Farbod and T. D. Todd, Resource allocation and outage control for solarpowered wlan mesh networks, Mobile Computing, IEEE Transactions on, vol. 6, no. 8, pp. 960–970, Aug. 2007.
8 Introduction Literature Review System Model Problem Formulation TCGBP Algorithm Numerical Results Conclusion & Future Work Outline
System Model Given a set of BSs, users and candidate locations All users are associated with a BS BSs are powered by renewable energy BSs and users may have different power levels of charging and transmission In a WLAN, BS and its associated users use the same transmission power 9
System Model No inter-WLAN interference with orthogonal channels assigned to BSs for inter-WLAN communication BSs can only be placed at a given set of candidate locations BSs at different candidate locations have different charging capabilities 10
11 Introduction Literature Review System Model Problem Formulation TCGBP Algorithm Numerical Results Conclusion & Future Work Outline
Problem Formulation 12 The number of deployed BSs Full coverage & Each user is associated with only one BS Achieved throughput Traffic demand Harvested energy Consumed energy
Problem Formulation Problem Analysis –Minimal BS placement problem with power allocation –NP-hard problem Sub-problems are NP-hard –Optimal placement of BSs with a fixed power –Power allocation of BSs 14
Problem Formulation Algorithm Design Strategy –NP-hard No solution in polynomial time –Design an effective heuristic algorithm Achieve good performance Reduce the time complexity 15
16 Introduction Literature Review System Model Problem Formulation TCGBP Algorithm Numerical Results Conclusion & Future Work Outline
TCGBP Algorithm First Phase –Partition the whole network region into several VPs (Voronoi Polygons) –Place one BS in each candidate location –Connect users to the BS in the same VP region 17