TY - JOUR
T1 - Queue and Channel-Based Aloha Algorithm in Multichannel Wireless Networks
AU - Malachi, Dean
AU - Cohen, Kobi
N1 - Funding Information:
Manuscript received January 28, 2020; revised March 25, 2020; accepted April 17, 2020. Date of publication April 21, 2020; date of current version August 7, 2020. This work was supported in part by the U.S.-Israel Binational Science Foundation under Grant 2017723, and in part by the BGU Cyber Security Research Center. The associate editor coordinating the review of this article and approving it for publication was H. Yomo. (Corresponding author: Kobi Cohen.) The authors are with the School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beersheba 8410501, Israel (e-mail: dinm@post.bgu.ac.il; yakovsec@bgu.ac.il). Digital Object Identifier 10.1109/LWC.2020.2989259
Publisher Copyright:
© 2012 IEEE.
PY - 2020/8/1
Y1 - 2020/8/1
N2 - Cross-layer Aloha protocols that exploit the channel diversity when accessing the spectrum became popular In recent years, due to their capability to Increase the user rates as compared to classic Aloha-type protocols. Existing algorithms, however, suffer from significant performance degradation In terms of queue load balancing, which makes them Inefficient In practical systems. In this letter, we develop a novel queue and channel based Aloha (QCA) algorithm to solve this Issue. In QCA, each user trades off between the channel state and the queue state to Increase the rate while keeping the queue load small. Strong performance of the algorithm Is demonstrated theoretically and numerically.
AB - Cross-layer Aloha protocols that exploit the channel diversity when accessing the spectrum became popular In recent years, due to their capability to Increase the user rates as compared to classic Aloha-type protocols. Existing algorithms, however, suffer from significant performance degradation In terms of queue load balancing, which makes them Inefficient In practical systems. In this letter, we develop a novel queue and channel based Aloha (QCA) algorithm to solve this Issue. In QCA, each user trades off between the channel state and the queue state to Increase the rate while keeping the queue load small. Strong performance of the algorithm Is demonstrated theoretically and numerically.
KW - Multichannel Aloha
KW - access protocols
KW - communication networks
KW - wireless communication
UR - http://www.scopus.com/inward/record.url?scp=85089480976&partnerID=8YFLogxK
U2 - 10.1109/LWC.2020.2989259
DO - 10.1109/LWC.2020.2989259
M3 - Article
AN - SCOPUS:85089480976
SN - 2162-2337
VL - 9
SP - 1309
EP - 1313
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
IS - 8
M1 - 9075202
ER -