TY - GEN
T1 - Cognitive hierarchy theory for heterogeneous uplink multiple access in the Internet of Things
AU - Abuzainab, Nof
AU - Saad, Walid
AU - Poor, H. Vincent
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/10
Y1 - 2016/8/10
N2 - In this paper, the problem of distributed uplink random access is studied for an Internet of Things (IoT) system, composed of heterogeneous group of nodes compromising both machine-type devices (MTDs) and human-type devices (HTDs). The problem is formulated as a noncooperative game between the heterogeneous IoT devices whose goal is to find the transmission probabilities and service rates that meet their individual quality-of-service (QoS) requirements. To solve this game while capturing the heterogeneity of the devices, in terms of resource constraints and QoS needs, a novel approach based on the behavioral game framework of cognitive hierarchy (CH) theory is proposed. This approach enables the IoT devices to reach a CH equilibrium concept that adequately factors in the various levels of rationality corresponding to the heterogeneous capabilities of MTDs and HTDs. Simulation results show that the proposed CH solution can significantly improve the performance, in terms of energy efficiency, for both MTDs and HTDs, achieving, on the average, a 67% improvement compared to the traditional Nash equilibrium-based game-theoretic solutions.
AB - In this paper, the problem of distributed uplink random access is studied for an Internet of Things (IoT) system, composed of heterogeneous group of nodes compromising both machine-type devices (MTDs) and human-type devices (HTDs). The problem is formulated as a noncooperative game between the heterogeneous IoT devices whose goal is to find the transmission probabilities and service rates that meet their individual quality-of-service (QoS) requirements. To solve this game while capturing the heterogeneity of the devices, in terms of resource constraints and QoS needs, a novel approach based on the behavioral game framework of cognitive hierarchy (CH) theory is proposed. This approach enables the IoT devices to reach a CH equilibrium concept that adequately factors in the various levels of rationality corresponding to the heterogeneous capabilities of MTDs and HTDs. Simulation results show that the proposed CH solution can significantly improve the performance, in terms of energy efficiency, for both MTDs and HTDs, achieving, on the average, a 67% improvement compared to the traditional Nash equilibrium-based game-theoretic solutions.
UR - http://www.scopus.com/inward/record.url?scp=84985942481&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84985942481&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2016.7541499
DO - 10.1109/ISIT.2016.7541499
M3 - Conference contribution
AN - SCOPUS:84985942481
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1252
EP - 1256
BT - Proceedings - ISIT 2016; 2016 IEEE International Symposium on Information Theory
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Symposium on Information Theory, ISIT 2016
Y2 - 10 July 2016 through 15 July 2016
ER -