NDLI: Maximizing delay-constrained throughput in multi-channel DS-CDMA ALOHA networks through power diversity and successive decoding

Content Provider	Springer Nature Link
Author	Birk, Yitzhak Tal, Uri
Copyright Year	2008
Abstract	We study multi-channel ALOHA networks (e.g., satellite-based networks) for online transaction processing, striving to maximize attainable throughput while meeting a deadline with near certainty. This captures the service provider’s fixed costs and per-transaction revenue, the user’s delay consciousness and ALOHA’s probabilistic nature. Specifically, we consider CDMA channels and successive-decoding receivers. Interestingly, judicious use of power diversity is shown to be extremely effective: with a single transmission, capacity is doubled relative to that with power equalization. With the deadline permitting as few as one or two retransmission attempts upon failure, the probability of not meeting it can be virtually diminished (10$^{−5}$ and 10$^{−8}$, respectively) while approaching the throughput attainable without delay constraints. This also holds for limited mean transmission power. Thus, the effect of power diversity in conjunction with CDMA depends strongly on the type of receiver and on the exact performance measure, and the proposed approach is worth considering for next-generation systems.
Starting Page	1126
Ending Page	1139
Page Count	14
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	15
Issue Number	8
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2008-02-27
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multi-channel ALOHA Deadline-constrained throughput Successive interference cancellation (SIC) Wireless transaction processing ALOHA Satellite communication Successive decoding Successive cancellation Business Information Systems Electrical Engineering Computer Communication Networks Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

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