TY - JOUR
T1 - A Novel Probabilistic Buffer-Aided Relay Selection Scheme in Cooperative Networks
AU - Xu, Peng
AU - Yang, Zheng
AU - Ding, Zhiguo
AU - Krikidis, Ioannis
AU - Chen, Qianbin
N1 - Funding Information:
Manuscript received September 18, 2019; revised January 2, 2020; accepted February 17, 2020. Date of publication February 21, 2020; date of current version April 16, 2020. The work of P. Xu and Q. Chen was supported in part by the National Natural Science Foundation of China under Grant 61701066 and in part by Chongqing Natural Science Foundation Project under Grant cstc2019jcyj-msxm1354. The work of Z. Yang was supported in part by the National Natural Science Foundation of China under Grants 61701118, U1805262, and 61871131, and in part by the Natural Science Foundation of Fujian Province, China, under Grant 2018J05101. The work of Z. Ding was supported by the UK EPSRC under Grant EP/P009719/2 and in part by H2020-MSCA-RISE-2015 under Grant 690750. The work of I. Krikidis was supported in part by the European Regional Development Fund and in part by the Republic of Cyprus through the Research Promotion Foundation, under the Project INFRASTRUCTURES/1216/0017. The review of this article was coordinated by Prof. L. Wang. (Corresponding author: Zheng Yang.) Peng Xu and Qianbin Chen are with the Chongqing Key Laboratory of Mobile Communications Technology, School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China (e-mail: [email protected]; [email protected]).
Funding Information:
The work of P. Xu and Q. Chen was supported in part by the NationalNatural Science Foundation of China underGrant 61701066 and in part by Chongqing Natural Science Foundation Project under Grant cstc2019jcyjmsxm1354
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2020/4
Y1 - 2020/4
N2 - This paper proposes a novel probabilistic buffer-aided (BA) relay selection (RS) scheme for cooperative relay networks. Different from most existing BA RS schemes that are determined by the wireless channel condition and the buffer state, the proposed scheme also utilizes additional randomness to decide the link selection outcome. In particular, we first select the strongest available source-to-relay and relay-to-destination links, respectively, and then probabilistically select one from these two links. Some previously proposed BA RS schemes can be viewed as special cases of the proposed scheme, such as the max-link scheme and the scheme with reduced packet delay. Then, the outage probability and average packet delay are analyzed. Both the analytical and simulation results show that different tradeoffs between the outage probability and average packet delay can be easily achieved by adjusting a single corresponding parameter.
AB - This paper proposes a novel probabilistic buffer-aided (BA) relay selection (RS) scheme for cooperative relay networks. Different from most existing BA RS schemes that are determined by the wireless channel condition and the buffer state, the proposed scheme also utilizes additional randomness to decide the link selection outcome. In particular, we first select the strongest available source-to-relay and relay-to-destination links, respectively, and then probabilistically select one from these two links. Some previously proposed BA RS schemes can be viewed as special cases of the proposed scheme, such as the max-link scheme and the scheme with reduced packet delay. Then, the outage probability and average packet delay are analyzed. Both the analytical and simulation results show that different tradeoffs between the outage probability and average packet delay can be easily achieved by adjusting a single corresponding parameter.
KW - average packet delay
KW - Buffer-aided relay selection
KW - outage probability
UR - http://www.scopus.com/inward/record.url?scp=85083816911&partnerID=8YFLogxK
U2 - 10.1109/TVT.2020.2975611
DO - 10.1109/TVT.2020.2975611
M3 - Article
AN - SCOPUS:85083816911
SN - 0018-9545
VL - 69
SP - 4548
EP - 4552
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 4
M1 - 9006913
ER -