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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mingbo Xiao Shroff, N.B. Chong, E.K.P. |
| Copyright Year | 1993 |
| Abstract | Distributed power-control algorithms for systems with hard signal-to-interference ratio (SIR) constraints may diverge when infeasibility arises. We present a power-control framework called utility-based power control (UBPC) by reformulating the problem using a softened SIR requirement (utility) and adding a penalty on power consumption (cost). Under this framework, the goal is to maximize the net utility, defined as utility minus cost. Although UBPC is still noncooperative and distributed in nature, some degree of cooperation emerges: a user will automatically decrease its target SIR (and may even turn off transmission) when it senses that traffic congestion is building up. This framework enables us to improve system convergence and to satisfy heterogeneous service requirements (such as delay and bit error rate) for integrated networks with both voice users and data users. Fairness, adaptiveness, and a high degree of flexibility can be achieved by properly tuning parameters in UBPC. |
| Sponsorship | IEEE Computer Society IEEE Communications Society Association for Computing Machinery (ACM) |
| Starting Page | 210 |
| Ending Page | 221 |
| Page Count | 12 |
| File Size | 650716 |
| File Format | |
| ISSN | 10636692 |
| Volume Number | 11 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-04-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless cellular systems Power control Energy consumption Costs Distributed algorithms Robust stability Wireless networks Resource management Quality of service Telecommunication traffic |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Electrical and Electronic Engineering Computer Science Applications Software |
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