Energy-efficient bandwidth allocation in wireless networks: algorithms, analysis, and simulations

In this paper, we present a new energy-efficient bandwidth allocation scheme for wireless networks. First of all, we investigate the intrinsic relationship between the energy consumption and transmission rates of mobile terminals, in which transmission rate is determined through channel allocations. Then, we propose two schemes for connection admission control: victim selection algorithm (VSA) and beneficiary selection algorithm (BSA) with the intent to reduce energy consumption of each terminal. Moreover, we introduce an adjustment algorithm to statistically meet the demands for quality of service (QoS) during the resource allocation. The performance of the proposed schemes is evaluated with respect to energy consumption rate of each successfully transmitted bit, throughput and call blocking probabilities. An extensive analysis and simulation study is conducted for Poisson and self-similar, multi-class traffic.

[1]  Harish Viswanathan,et al.  Adaptive and predictive downlink resource management in next generation CDMA networks , 2005, IEEE INFOCOM 2004.

[2]  David Tse,et al.  Multiaccess Fading Channels-Part I: Polymatroid Structure, Optimal Resource Allocation and Throughput Capacities , 1998, IEEE Trans. Inf. Theory.

[3]  N. Bambos,et al.  Toward power-sensitive network architectures in wireless communications: concepts, issues, and design aspects , 1998, IEEE Wirel. Commun..

[4]  Cem U. Saraydar,et al.  Efficient power control via pricing in wireless data networks , 2002, IEEE Trans. Commun..

[5]  Jyh-Cheng Chen,et al.  Local predictive resource reservation for handoff in multimedia wireless IP networks , 2001, IEEE J. Sel. Areas Commun..

[6]  Elif Uysal-Biyikoglu,et al.  Energy-efficient packet transmission over a wireless link , 2002, TNET.

[7]  Michele Zorzi Outage and error events in bursty channels , 1998, IEEE Trans. Commun..

[8]  Qian Zhang,et al.  Power-minimized bit allocation for video communication over wireless channels , 2002, IEEE Trans. Circuits Syst. Video Technol..

[9]  S. Shen,et al.  Intelligent call admission control for wideband CDMA cellular systems , 2004, IEEE Transactions on Wireless Communications.

[10]  Krishna M. Sivalingam,et al.  Dynamic resource allocation schemes during handoff for mobile multimedia wireless networks , 1999, IEEE J. Sel. Areas Commun..

[11]  Sanjiv Nanda,et al.  Adaptation techniques in wireless packet data services , 2000, IEEE Commun. Mag..

[12]  Abdol Hamid Aghvami,et al.  A prioritized handoff dynamic channel allocation strategy for PCS , 1999 .

[13]  El-Sayed M. El-Alfy,et al.  Adaptive resource allocation with prioritized handoff in cellular mobile networks under QoS provisioning , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[14]  T. V. Lakshman,et al.  Call admission control in wireless multimedia networks , 2004, IEEE Signal Processing Magazine.

[15]  Mischa Schwartz,et al.  Predictive QoS-based admission control for multiclass traffic in cellular wireless networks , 2000, IEEE Journal on Selected Areas in Communications.

[16]  Yuguang Fang,et al.  Mobility-based call admission control schemes for wireless mobile networks , 2001, Wirel. Commun. Mob. Comput..

[17]  David G. Luenberger,et al.  Linear and nonlinear programming , 1984 .

[18]  Sung-Kwan Youm,et al.  An adaptive resource allocation mechanism including fast and reliable handoff in IP-based 3G wireless networks , 2000, IEEE Wirel. Commun..

[19]  Alexander Joseph Huber,et al.  UMTS and Mobile Computing , 2002 .

[20]  Jon W. Mark,et al.  Wireless Communications and Networking , 2002 .

[21]  Nicholas Bambos,et al.  Power-controlled matiple access schemes for next-generation wireless packet networks , 2002, IEEE Wireless Communications.

[22]  Stavros A. Kotsopoulos,et al.  Handover and New Call Admission Policy Optimization for G3G Systems , 2002, Wirel. Networks.

[23]  Eytan Modiano,et al.  Power allocation and routing in multibeam satellites with time-varying channels , 2003, TNET.

[24]  Yuguang Fang,et al.  Call admission control schemes and performance analysis in wireless mobile networks , 2002, IEEE Trans. Veh. Technol..

[25]  Walter Willinger,et al.  Self-similarity and heavy tails: structural modeling of network traffic , 1998 .

[26]  Hu Xiao Adaptation Techniques in Wireless Packet Data Service , 2000 .

[27]  Mostafa A. Bassiouni,et al.  Predictive schemes for handoff prioritization in cellular networks based on mobile positioning , 2000, IEEE Journal on Selected Areas in Communications.

[28]  Sajal K. Das,et al.  ARC: an integrated admission and rate control framework for CDMA data networks based on non-cooperative games , 2003, MobiCom '03.

[29]  John G. Proakis,et al.  Digital Communications , 1983 .

[30]  Ness B. Shroff,et al.  The impact of imperfect scheduling on cross-layer rate control in wireless networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[31]  Elif Uysal-Biyikoglu,et al.  Energy-efficient transmission over a wireless link via lazy packet scheduling , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[32]  Robin Kravets,et al.  Application‐driven power management for mobile communication , 2000, Wirel. Networks.