TY - GEN
T1 - The neighbor channel sensing capability for wireless networks
AU - Qu, Qiao
AU - Li, Bo
AU - Yang, Mao
AU - Yan, Zhongjiang
AU - Xiaoya, Zuo
AU - Zhang, Yongping
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/22
Y1 - 2016/11/22
N2 - In wireless networks, the capability of sensing the received power variation on wireless channel is named as channel sensing capability (CSC). However, as wireless networks become increasingly dense, it decreases the reliability of multiuser transmission if only CSC is simply used for indicating channel state. Thus, in this paper, a novel conception named as neighbor channel sensing capability (NCSC) is proposed to describe the capability of nodes for sensing the channel state of their neighbor nodes. We prove that the consistency of NCSC, defined as the variable of the difference of the received power of two neighboring nodes, obeys a Gaussian distribution when the location of all transmitting nodes obeys a homogeneous Poisson point process. Moreover, we derive the mean and variance of the consistency of NCSC, and give the expression of NCSC to accurately describe the capability of sensing the channel state of neighbor nodes. The simulation results show that NCSC can efficiently indicate and validate our analysis model and derivation.
AB - In wireless networks, the capability of sensing the received power variation on wireless channel is named as channel sensing capability (CSC). However, as wireless networks become increasingly dense, it decreases the reliability of multiuser transmission if only CSC is simply used for indicating channel state. Thus, in this paper, a novel conception named as neighbor channel sensing capability (NCSC) is proposed to describe the capability of nodes for sensing the channel state of their neighbor nodes. We prove that the consistency of NCSC, defined as the variable of the difference of the received power of two neighboring nodes, obeys a Gaussian distribution when the location of all transmitting nodes obeys a homogeneous Poisson point process. Moreover, we derive the mean and variance of the consistency of NCSC, and give the expression of NCSC to accurately describe the capability of sensing the channel state of neighbor nodes. The simulation results show that NCSC can efficiently indicate and validate our analysis model and derivation.
UR - http://www.scopus.com/inward/record.url?scp=85006925421&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2016.7753614
DO - 10.1109/ICSPCC.2016.7753614
M3 - 会议稿件
AN - SCOPUS:85006925421
T3 - ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
BT - ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016
Y2 - 5 August 2016 through 8 August 2016
ER -