Ranking and adaptive ranking CDMA

Authors:
Pierre T. Kabamba;Semyon M. Meerkov;Choon Yik Tang
Affiliations:
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI;Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI;Honeywell Labs, Minneapolis, MN and Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI
Venue:
IEEE/ACM Transactions on Networking (TON)
Year:
2005

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Abstract

This paper develops an uplink transmission scheduling scheme, referred to as Ranking CDMA, which selects a subset of users for transmission at each time slot. We introduce long- and short-term metrics that characterize its performance, and devise analytical methods for evaluating these performance measures. It turns out that, although Ranking CDMA has excellent long-term power efficiency compared to traditional CDMA, it suffers from a lack of short-term fairness, which is quantified in our calculations. To alleviate this deficiency, we propose Adaptive Ranking CDMA and analytically show that it yields moderate power-efficiency improvement over traditional CDMA, while maintaining short-term fairness.