TY - GEN
T1 - Shared relay assignment (SRA) for many-to-one traffic in cooperative wireless transmissions
AU - Xu, Hongli
AU - Huang, Liusheng
AU - Qiao, Chunming
AU - Wang, Xinglong
AU - Sun, Yu E.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/30
Y1 - 2014/9/30
N2 - Relay assignment significantly affects the performance of cooperative communications. Previous studies in this area have mostly focused on assigning a dedicated relay to each source-destination pair for one-to-one (121) traffic. On the other hand, many-to-one (M21) traffic, which is also common in many situations (for example, several users associate with one access point in a wireless access network such as a WLAN), hasn't been well studied. This paper addresses the shared relay assignment (SRA) problem for M21 traffic. We formulate two new optimization problems: one is to maximize the minimum throughput among all the sources (hereafter called M21-SRA-MMT), and the other is to maximize the total throughput over all the sources while maintaining some degree of fairness (hereafter called M21-SRA-MTT). As both of these problems are NP-hard, we propose two approximation algorithms whose performance factors are 5.828 and 3, respectively, based on the rounding mechanism. Extensive simulation results show that our algorithm for M21-SRA-MMT can significantly improve the minimum throughput compared with existing algorithms, while our algorithm for M21-SRA-MTT can achieve the close-to-optimal performance.
AB - Relay assignment significantly affects the performance of cooperative communications. Previous studies in this area have mostly focused on assigning a dedicated relay to each source-destination pair for one-to-one (121) traffic. On the other hand, many-to-one (M21) traffic, which is also common in many situations (for example, several users associate with one access point in a wireless access network such as a WLAN), hasn't been well studied. This paper addresses the shared relay assignment (SRA) problem for M21 traffic. We formulate two new optimization problems: one is to maximize the minimum throughput among all the sources (hereafter called M21-SRA-MMT), and the other is to maximize the total throughput over all the sources while maintaining some degree of fairness (hereafter called M21-SRA-MTT). As both of these problems are NP-hard, we propose two approximation algorithms whose performance factors are 5.828 and 3, respectively, based on the rounding mechanism. Extensive simulation results show that our algorithm for M21-SRA-MMT can significantly improve the minimum throughput compared with existing algorithms, while our algorithm for M21-SRA-MTT can achieve the close-to-optimal performance.
KW - Cooperative Communication
KW - Fairness
KW - Max-Min Throughput
KW - Max-Total Throughput
KW - Shared Relay Assignment
UR - https://www.scopus.com/pages/publications/84907902985
U2 - 10.1109/IWQoS.2014.6914324
DO - 10.1109/IWQoS.2014.6914324
M3 - Conference contribution
AN - SCOPUS:84907902985
T3 - IEEE International Workshop on Quality of Service, IWQoS
SP - 238
EP - 247
BT - 2014 IEEE 22nd International Symposium of Quality of Service, IWQoS
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd IEEE International Symposium of Quality of Service, IWQoS 2014
Y2 - 26 May 2014 through 27 May 2014
ER -