TY - GEN
T1 - Power Allocation and Mode Selection with Superposition Coding for Device-to-Device Networks
AU - Liao, Yuanyuan
AU - Li, Liying
AU - Ou, Zhenwei
AU - Zhao, Guodong
AU - Chen, Zhi
PY - 2018/8
Y1 - 2018/8
N2 - In device-to-device (D2D) networks, co-channel interference is one of the main reasons that causes high power consumption, which further reduces the life time of mobile devices. In this paper, we adopt the superposition coding between macro and D2D users, which is expected to effectively eliminate the co-channel interference. In particular, we develop two power allocation methods to minimize the power consumption in cooperative and non-cooperative modes, respectively. Then, we use mode selection to obtain the minimum overall power consumption of the whole system. In power allocation, we model the average power consumption as a function of channel gain, power allocation factor, transmission rate, and noise power. Then, we obtain the close-form solution. Our results indicate that the proposed method outperforms the conventional non-cooperative methods in terms of power consumption, outage probability, and energy efficiency.
AB - In device-to-device (D2D) networks, co-channel interference is one of the main reasons that causes high power consumption, which further reduces the life time of mobile devices. In this paper, we adopt the superposition coding between macro and D2D users, which is expected to effectively eliminate the co-channel interference. In particular, we develop two power allocation methods to minimize the power consumption in cooperative and non-cooperative modes, respectively. Then, we use mode selection to obtain the minimum overall power consumption of the whole system. In power allocation, we model the average power consumption as a function of channel gain, power allocation factor, transmission rate, and noise power. Then, we obtain the close-form solution. Our results indicate that the proposed method outperforms the conventional non-cooperative methods in terms of power consumption, outage probability, and energy efficiency.
UR - http://www.scopus.com/inward/record.url?scp=85064887124&partnerID=8YFLogxK
U2 - 10.1109/VTCFall.2018.8690925
DO - 10.1109/VTCFall.2018.8690925
M3 - Conference contribution
AN - SCOPUS:85064887124
T3 - IEEE Vehicular Technology Conference
BT - 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
CY - Piscataway
T2 - 88th IEEE Vehicular Technology Conference, VTC-Fall 2018
Y2 - 27 August 2018 through 30 August 2018
ER -