TY - JOUR
T1 - Spectrum Auctions under Physical Interference Model
AU - Zhang, Yuhui
AU - Yang, Dejun
AU - Lin, Jian
AU - Li, Ming
AU - Xue, Guoliang
AU - Tang, Jian
AU - Xie, Lei
N1 - Funding Information:
This work was supported in part by NSF grants 1420881, 1421685, 1443966, 1457262 and 1717315, and National Natural Science Foundation of China under Grant No. 61472185. This is an extended and enhanced version of a paper [24] that appeared in IEEE GLOBECOM 2016.
Publisher Copyright:
© 2015 IEEE.
PY - 2017/12
Y1 - 2017/12
N2 - Spectrum auctions provide a platform for licensed spectrum users to share their underutilized spectrum with unlicensed users. Existing spectrum auctions either adopt the protocol interference model to characterize interference relationship as binary relationship or only lease channels that are not used by the primary user (PU) to secondary users (SUs). In this paper, we design spectrum auctions under the physical interference model, which allow PU and SUs to transmit simultaneously. Specifically, we consider both single-minded and multi-minded cases, and design auctions SPA-S and SPA-M, respectively. We prove that both auctions are truthful, individually rational, and computationally efficient. Extensive simulation results demonstrate that, these designed auctions achieve higher spectrum utilization, buyer satisfaction ratio, and revenue than a representative existing spectrum auction adapted for the physical interference model.
AB - Spectrum auctions provide a platform for licensed spectrum users to share their underutilized spectrum with unlicensed users. Existing spectrum auctions either adopt the protocol interference model to characterize interference relationship as binary relationship or only lease channels that are not used by the primary user (PU) to secondary users (SUs). In this paper, we design spectrum auctions under the physical interference model, which allow PU and SUs to transmit simultaneously. Specifically, we consider both single-minded and multi-minded cases, and design auctions SPA-S and SPA-M, respectively. We prove that both auctions are truthful, individually rational, and computationally efficient. Extensive simulation results demonstrate that, these designed auctions achieve higher spectrum utilization, buyer satisfaction ratio, and revenue than a representative existing spectrum auction adapted for the physical interference model.
KW - Cognitive radio ad hoc networks
KW - dynamic spectrum access
KW - game theory
KW - physical interference model
KW - spectrum auction
UR - http://www.scopus.com/inward/record.url?scp=85052134258&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052134258&partnerID=8YFLogxK
U2 - 10.1109/TCCN.2017.2752180
DO - 10.1109/TCCN.2017.2752180
M3 - Article
AN - SCOPUS:85052134258
SN - 2332-7731
VL - 3
SP - 719
EP - 728
JO - IEEE Transactions on Cognitive Communications and Networking
JF - IEEE Transactions on Cognitive Communications and Networking
IS - 4
M1 - 8038071
ER -