Power-Delay Tradeoff over Wireless Networks

• Published in: IEEE transactions on communications Vol. 61; no. 9; pp. 3673 - 3684
• Main Authors: Zhang, Xi, Tang, Jia
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.09.2013; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Bandwidth; Cellular communication; Cellular networks; convex optimization; Delay; Delays; effective capacity; Exact sciences and technology; information theory; Information, signal and communications theory; Multiplexing; OFDM-based communications systems; Operation, maintenance, reliability; Organization and planning of networks (techniques and equipments); Policies; Power consumption; Power control; Quality of service; Queues; Resource allocation; resource allocation and management; Resource management; scheduling; Signal and communications theory; statistical delay-bounded quality-of-service (QoS) guarantees; Studies; Switching and signalling; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Traffic engineering; Traffic flow; Wireless networks; Performance evaluation; effective capacity; Wireless telecommunication; Resource allocation; Network architecture; Cell network; OFDM-based communications systems; Queue length; Traffic flow; statistical delay-bounded quality-of-service (QoS) guarantees; Optimal allocation; Electric power consumption; Traffic control; resource allocation and management; scheduling; Routing protocols; Delay time; information theory; Queue; Mobile radiocommunication; Multiple access; Packet switching; Transmission protocol; Teletraffic; wireless networks; Multihop network; Queueing system; Power control; Telecommunication network; Orthogonal frequency division multiplexing; Wireless network; Numerical simulation; convex optimization; Service quality
• ISSN: 0090-6778; 1558-0857
• DOI: 10.1109/TCOMM.2013.061913.120001

When transmitting stochastic traffic flows over wireless networks, there exists an inherent tradeoff between average transmit power and corresponding queuing-delay bound. In this paper, we investigate such a tradeoff and show how average power increases as delay-bound requirement for wireless network traffics becomes stringent. Specifically, we propose the resource allocation schemes to minimize the power consumption subject to a delay quality-of-service (QoS) constraint, where the delay constraint is in terms of queue-length decay rate when an arrival traffic is transmitted through the wireless networks. We focus on orthogonal-frequency-division-multiplexing (OFDM) communications under three different network infrastructures, namely, point-to-point link, multihop amplify-and-forward (AF) network, and multiuser cellular network. We derive the optimal resource allocation policies for each scenario, and compare their performances with other existing resource-allocation policies. The obtained simulation and numerical results show that using our proposed optimal resource-allocation policies, significant power saving can be achieved. Furthermore, our OFDM-based communications systems can significantly reduce the power consumption, especially under stringent delay constraint.