Conflict-resolving tree algorithm stable to incomplete interference damping
Automation and Remote Control
Performance analysis of outage-limited multi-access cellular systems with macro-diversity
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
SINR-maximizing spreading code allocation for non-linear serial interference cancellation
IEEE Transactions on Communications
ASMTA'11 Proceedings of the 18th international conference on Analytical and stochastic modeling techniques and applications
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Successive interference cancellation (SIC) is a technique for increasing the capacity of cellular code-division multiple-access (CDMA) systems. To be successful, SIC systems require a specific distribution of the users' received powers, especially in the inevitable event of imperfect interference cancellation. This apparent complication of standard CDMA power control has been frequently cited as a major drawback of SIC. In this paper, it is shown that surprisingly, these "complications" come with no additional complexity. It is shown that 1-bit UP/DOWN power control-like that used in commercial systems-monotonically converges to the optimal power distribution for SIC with cancellation error. The convergence is proven to within a discrete step-size in both signal-to-noise plus interference ratio and power. Additionally, the algorithm is applicable to multipath and fading channels and can overcome channel estimation error with a standard outer power control loop.