NDLI: Slotted Aloha for networked base stations with spatial and temporal diversity

Content Provider	IEEE Xplore Digital Library
Author	Jakovetic, D. Bajovic, D. Vukobratovic, D. Crnojevic, V.
Copyright Year	2014
Description	Author affiliation: Dept. of Power, Electron., & Commun. Eng., Univ. of Novi Sad, Novi Sad, Serbia (Vukobratovic, D.; Crnojevic, V.) \|\| BioSense Center, Univ. of Novi Sad, Novi Sad, Serbia (Jakovetic, D.; Bajovic, D.)
Abstract	We consider framed slotted Aloha where m base stations cooperate to decode messages from n users. Users and base stations are placed uniformly at random over an area. At each frame, each user sends multiple replicas of its packet according to a prescribed distribution, and it is heard by all base stations within the communication radius r. Base stations employ a decoding algorithm that utilizes the successive interference cancellation mechanism, both in space-across neighboring base stations, and in time-across different slots, locally at each base station. We show that there exists a threshold on the normalized load G = n/(τm), where τ is the number of slots per frame, below which decoding probability converges asymptotically (as n, m, τ → ∞, r → 0) to the maximal possible value-the probability that a user is heard by at least one base station, and we find a lower bound on the threshold. Further, we give a heuristic evaluation of the decoding probability based on the and-or-tree analysis. Finally, we show that the peak throughput increases linearly in the number of base stations.
Starting Page	1578
Ending Page	1582
File Size	396434
Page Count	5
File Format	PDF
ISBN	9781479951864
ISSN	21578117
DOI	10.1109/ISIT.2014.6875099
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Base stations Decoding Silicon carbide Throughput Iterative decoding Standards
Content Type	Text
Resource Type	Article

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