TY - GEN
T1 - A novel algorithm for secrecy rate analysis in massive MIMO system with target SINR requirements
AU - Rawat, Danda B.
AU - Neupane, Kishan
AU - Song, Min
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/6
Y1 - 2016/9/6
N2 - Massive Multiple Input Multiple Output (MIMO) system is regarded as an emerging technology to enhance the capacity (achievable rate) of wireless communication systems. In this paper, we present an iterative algorithm that adapts transmit signal vector and power of the user using game theory to enhance the physical-layer security (achievable secrecy rate) of massive MIMO system in the presence of eavesdropper and jammers. The proposed algorithm takes account of impact of jammers while meeting the target Signal-to-Interference-plus-Noise Ratio (SINR) and the impact of both eavesdropper and jammers while evaluating the secrecy rate of the users. Furthermore, we present the existence and uniqueness of Nash equilibrium of the game used in this paper. We evaluate the performance of the algorithm using numerical results obtained from simulations. When both eavesdropper and jammers are present close to the users, secrecy rate of legitimate users degrade significantly.
AB - Massive Multiple Input Multiple Output (MIMO) system is regarded as an emerging technology to enhance the capacity (achievable rate) of wireless communication systems. In this paper, we present an iterative algorithm that adapts transmit signal vector and power of the user using game theory to enhance the physical-layer security (achievable secrecy rate) of massive MIMO system in the presence of eavesdropper and jammers. The proposed algorithm takes account of impact of jammers while meeting the target Signal-to-Interference-plus-Noise Ratio (SINR) and the impact of both eavesdropper and jammers while evaluating the secrecy rate of the users. Furthermore, we present the existence and uniqueness of Nash equilibrium of the game used in this paper. We evaluate the performance of the algorithm using numerical results obtained from simulations. When both eavesdropper and jammers are present close to the users, secrecy rate of legitimate users degrade significantly.
KW - MIMO
KW - algorithm
KW - performance evaluation
KW - secrecy rate
KW - security
UR - http://www.scopus.com/inward/record.url?scp=84988815078&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988815078&partnerID=8YFLogxK
U2 - 10.1109/INFCOMW.2016.7562045
DO - 10.1109/INFCOMW.2016.7562045
M3 - Conference contribution
AN - SCOPUS:84988815078
T3 - Proceedings - IEEE INFOCOM
SP - 53
EP - 58
BT - 2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
T2 - 35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
Y2 - 10 April 2016 through 14 April 2016
ER -