TY - JOUR
T1 - Ambient Backscatter
T2 - A New Approach to Improve Network Performance for RF-Powered Cognitive Radio Networks
AU - Hoang, Dinh Thai
AU - Niyato, Dusit
AU - Wang, Ping
AU - Kim, Dong In
AU - Han, Zhu
N1 - Publisher Copyright:
© 1972-2012 IEEE.
PY - 2017/9
Y1 - 2017/9
N2 - This paper introduces a new solution to improve the performance for secondary systems in radio frequency (RF) powered cognitive radio networks (CRNs). In a conventional RF-powered CRN, the secondary system works based on the harvest-then-transmit protocol. That is, the secondary transmitter (ST) harvests energy from primary signals and then uses the harvested energy to transmit data to its secondary receiver (SR). However, with this protocol, the performance of the secondary system is much dependent on the amount of harvested energy as well as the primary channel activity, e.g., idle and busy periods. Recently, ambient backscatter communication has been introduced, which enables the ST to transmit data to the SR by backscattering ambient signals. Therefore, it is potential to be adopted in the RF-powered CRN. We investigate the performance of RF-powered CRNs with ambient backscatter communication over two scenarios, i.e., overlay and underlay CRNs. For each scenario, we formulate and solve the optimization problem to maximize the overall transmission rate of the secondary system. Numerical results show that by incorporating such two techniques, the performance of the secondary system can be improved significantly compared with the case when the ST performs either harvest-then-transmit or ambient backscatter technique.
AB - This paper introduces a new solution to improve the performance for secondary systems in radio frequency (RF) powered cognitive radio networks (CRNs). In a conventional RF-powered CRN, the secondary system works based on the harvest-then-transmit protocol. That is, the secondary transmitter (ST) harvests energy from primary signals and then uses the harvested energy to transmit data to its secondary receiver (SR). However, with this protocol, the performance of the secondary system is much dependent on the amount of harvested energy as well as the primary channel activity, e.g., idle and busy periods. Recently, ambient backscatter communication has been introduced, which enables the ST to transmit data to the SR by backscattering ambient signals. Therefore, it is potential to be adopted in the RF-powered CRN. We investigate the performance of RF-powered CRNs with ambient backscatter communication over two scenarios, i.e., overlay and underlay CRNs. For each scenario, we formulate and solve the optimization problem to maximize the overall transmission rate of the secondary system. Numerical results show that by incorporating such two techniques, the performance of the secondary system can be improved significantly compared with the case when the ST performs either harvest-then-transmit or ambient backscatter technique.
KW - ambient backscatter
KW - Cognitive radios
KW - convex optimization
KW - RF energy harvesting
UR - https://www.scopus.com/pages/publications/85030093486
U2 - 10.1109/TCOMM.2017.2710338
DO - 10.1109/TCOMM.2017.2710338
M3 - Article
AN - SCOPUS:85030093486
SN - 0090-6778
VL - 65
SP - 3659
EP - 3674
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 9
M1 - 7937935
ER -