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Downlink scheduling in CDMA data networks
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Source International Conference on Mobile Computing and Networking archive
Proceedings of the 6th annual international conference on Mobile computing and networking table of contents
Boston, Massachusetts, United States
Pages: 179 - 190  
Year of Publication: 2000
ISBN:1-58113-197-6
Authors
Niranjan Joshi  wireless Technology Laboratory, Lucent Technologies, Whippany, NJ
Srinivas R. Kadaba  wireless Technology Laboratory, Lucent Technologies, Whippany, NJ
Sarvar Patel  wireless Technology Laboratory, Lucent Technologies, Whippany, NJ
Ganapathy S. Sundaram  wireless Technology Laboratory, Lucent Technologies, Whippany, NJ
Sponsors
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
IEICE : Inst of Electronics, Info & Communication Engineers
IFIP WG 6.3 : IFIP WG 6.3
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 39,   Citation Count: 14
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ABSTRACT

Packet data is expected to dominate third generation wireless networks, unlike current generation voice networks. This opens up new and interesting problems. Physical and link layer issues have been studied extensively, while resource allocation and scheduling issues have not been addressed satisfactorily.In this work, we address resource management on the downlink of CDMA packet data networks. Network performance (for example, capacity) has been addressed, but user centric performance has not received much attention. Recently, various non-traditional scheduling schemes based on new metrics have been proposed, and target user performance (mostly without reference to wireless). We adapt these metrics to the CDMA context, and establish some new results for the offline scheduling problem. In addition, we modify a large class of online algorithms to work in our setup and conduct a wide range of experiments. Based on detailed simulations, we infer that: Algorithms which exploit “request sizes” seem to outperform those that do not. Among these, algorithms that also exploit channel conditions provide significantly higher network throughput.Depending on continuous or discretized bandwidth conditions, either pure time multiplexing or a combination of time and code multiplexing strikes an excellent balance between user satisfaction and network performance.Discrete bandwidth conditions can lead to degraded user level performance without much impact on network performance. We argue that the discretization needs to be fine tuned to address this shortcoming.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  14

Collaborative Colleagues:
Niranjan Joshi: colleagues
Srinivas R. Kadaba: colleagues
Sarvar Patel: colleagues
Ganapathy S. Sundaram: colleagues