The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Pricing and power control in a multicell wireless data network
Abstract
We consider distributed power control in a multicell wireless data system and study the effect of pricing transmit power. Drawing on the earlier work of Goodman and Mandayam (see IEEE Personal Commun. Mag., vol.7, p.48-54, 2000), we formulate the QoS of a data user via a utility function measured in bits per Joule. We consider distributed power control, modeled as a noncooperative game, where users maximize their utilities in a multicell system. Base station assignment based on received signal strength as well as received signal-to-interference ratio (SIR) are considered jointly with power control. Our results indicate that for both assignment schemes, such a procedure results in an inefficient operating point (Nash equilibrium) for the entire system. We introduce pricing of transmit power as a mechanism for influencing data user behavior and our results show that the distributed power control based on maximizing the net utility (utility minus the price) results in improving the Pareto efficiency of the resulting operating point. Variations of pricing based on global and local loading in cells are considered as a means of improving the efficiency of wireless data networks. Finally, we discuss the improvement in utilities through a centralized scheme where each base station (BS) calculates the best SIR to be targeted by the terminals it is assigned.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Nash, J. (1951) · The Annals of Mathematics · doi:10.2307/1969529 · Cited by 7,002
Nash, J. (1989) · Cournot Oligopoly · doi:10.1017/cbo9780511528231.007 · Cited by 5,595
A framework for uplink power control in cellular radio systems
Yates, R. D. (1995) · IEEE Journal on Selected Areas in Communications · doi:10.1109/49.414651 · Cited by 2,436
Supermodularity and Complementarity
Topkis, D. M. (2011) · Princeton University Press eBooks · doi:10.1515/9781400822539 · Cited by 2,138
Varberg, D. E. (1973) · Cited by 1,700
Efficient power control via pricing in wireless data networks
Saraydar, C. U., Mandayam, N. B., & Goodman, D. J. (2002) · IEEE Transactions on Communications · doi:10.1109/26.983324 · Cited by 1,337
Self-citationPerformance of optimum transmitter power control in cellular radio systems
Zander, J. (1992) · IEEE Transactions on Vehicular Technology · doi:10.1109/25.120145 · Cited by 1,167
Hanly, S. V. (1995) · IEEE Journal on Selected Areas in Communications · doi:10.1109/49.414650 · Cited by 454
Integrated power control and base station assignment
Yates, R. D., & Huang, C.-Y. (1995) · IEEE Transactions on Vehicular Technology · doi:10.1109/25.406632 · Cited by 370
Cited by
A tutorial on decomposition methods for network utility maximization
Palomar, D. P., & Chiang, M. (2006) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2006.879350 · Cited by 1,647
A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead
Buzzi, S., I, C.-L., Klein, T. E., Poor, H. V., Yang, C., & Zappone, A. (2016) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2016.2550338 · Cited by 721
Energy Efficiency in Wireless Networks via Fractional Programming Theory
Zappone, A., & Jorswieck, E. (2015) · Foundations and Trends in Communications and Information Theory · doi:10.1561/0100000088 · Cited by 513
(2005) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2004.837347 · Cited by 259
Metadata
- Authors
- Saraydar, C. U., Mandayam, N. B., & Goodman, D. J.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2001
- Volume
- 19
- Issue
- 10
- Pages
- 1883-1892
- ISSN
- 0733-8716 (ISSN-L)
- OpenAlex
- W2139233321
- Cited by
- 373
- References
- 9
- FWCI
- 17.20
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Pricing and power control in a multicell wireless data network. https://app.cochat.ai/papers/10.1109/49.957304
- The paper
- Saraydar, C. U., Mandayam, N. B., & Goodman, D. J. (2001). Pricing and power control in a multicell wireless data network. IEEE Journal on Selected Areas in Communications. https://doi.org/10.1109/49.957304
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.