TY - GEN
T1 - Energy efficient transmission in underlay massive MIMO systems with probabilistic guarantees
AU - Miridakis, Nikolaos I.
AU - Tsiftsis, Theodoros A.
AU - Alexandropoulos, George C.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/3
Y1 - 2018/7/3
N2 - We consider an underlay massive Multiple-Input Multiple-Output (MIMO) cognitive radio system possessing only statistical knowledge for the primary system, where the Secondary Transmitter (ST) operates in a spatial multiplexing mode, while the secondary receiver employs zero-forcing detection. Assuming that ST is capable of energy harvesting, we present the optimal power allocation for the multiple transmitted data streams as well as the effective number of transmit antennas meeting both the maximum allowable outage threshold for the primary system and a constraint related to the ST energy consumption effectiveness. The tradeoff between transmit-and-harvest antennas at ST and the average channel capacity of the secondary system are analytically discussed. Representative numerical and simulation results corroborate the effectiveness of the proposed scheme and presented analysis, while some useful engineering insights are provided.
AB - We consider an underlay massive Multiple-Input Multiple-Output (MIMO) cognitive radio system possessing only statistical knowledge for the primary system, where the Secondary Transmitter (ST) operates in a spatial multiplexing mode, while the secondary receiver employs zero-forcing detection. Assuming that ST is capable of energy harvesting, we present the optimal power allocation for the multiple transmitted data streams as well as the effective number of transmit antennas meeting both the maximum allowable outage threshold for the primary system and a constraint related to the ST energy consumption effectiveness. The tradeoff between transmit-and-harvest antennas at ST and the average channel capacity of the secondary system are analytically discussed. Representative numerical and simulation results corroborate the effectiveness of the proposed scheme and presented analysis, while some useful engineering insights are provided.
KW - Cognitive radio
KW - Multiple-input multiple-output (MIMO)
KW - Nonlinear energy harvesting
KW - Optimal power allocation
UR - https://www.scopus.com/pages/publications/85050263520
U2 - 10.1109/ICCW.2018.8403563
DO - 10.1109/ICCW.2018.8403563
M3 - Conference contribution
AN - SCOPUS:85050263520
T3 - 2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Proceedings
SP - 1
EP - 6
BT - 2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018
Y2 - 20 May 2018 through 24 May 2018
ER -
