TY - GEN
T1 - Optimizing uplink resource allocation for D2D overlaying cellular networks with power control
AU - Liu, Jiajia
AU - Dai, Jiahao
AU - Kato, Nei
AU - Ansari, Nirwan
PY - 2016/1/1
Y1 - 2016/1/1
N2 - In this paper, we present a stochastic geometry based framework to analyze the coverage probability and ergodic rate with different channel allocations for device-to-device (D2D) communications. Different from existing works, we assume there are two different kinds of users, cellular users and D2D users, in the muti-channel uplink cellular network. Specifically, cellular users can upload data to the nearest base station (BS) directly through cellular channels. However, D2D users must upload data to their own D2D relays through D2D channels and then the D2D relays communicate with the nearest BS through cellular channels. There is no overlapping between cellular channels and D2D channels. Each cellular user and D2D relay adopt the channel inversion power control with maximum transmit power limit. Our results indicate that the framework can help to find the optimal channel allocation to achieve the optimal system performance in terms of coverage probability and average rate.
AB - In this paper, we present a stochastic geometry based framework to analyze the coverage probability and ergodic rate with different channel allocations for device-to-device (D2D) communications. Different from existing works, we assume there are two different kinds of users, cellular users and D2D users, in the muti-channel uplink cellular network. Specifically, cellular users can upload data to the nearest base station (BS) directly through cellular channels. However, D2D users must upload data to their own D2D relays through D2D channels and then the D2D relays communicate with the nearest BS through cellular channels. There is no overlapping between cellular channels and D2D channels. Each cellular user and D2D relay adopt the channel inversion power control with maximum transmit power limit. Our results indicate that the framework can help to find the optimal channel allocation to achieve the optimal system performance in terms of coverage probability and average rate.
UR - http://www.scopus.com/inward/record.url?scp=85015423203&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015423203&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2016.7842111
DO - 10.1109/GLOCOM.2016.7842111
M3 - Conference contribution
AN - SCOPUS:85015423203
T3 - 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
BT - 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 59th IEEE Global Communications Conference, GLOBECOM 2016
Y2 - 4 December 2016 through 8 December 2016
ER -