TY - JOUR
T1 - Autocorrelation and Coherence Time of Interference in Poisson Networks
AU - Schilcher, Udo
AU - Schmidt, Jorge F.
AU - Atiq, Mahin K.
AU - Bettstetter, Christian
PY - 2020/7/1
Y1 - 2020/7/1
N2 - This article takes an analytical approach to investigate the temporal dynamics of interference in wireless networks. We propose a framework to calculate the autocorrelation of interference in Poisson networks and derive closed-form expressions for the case of Nakagami fading. The framework takes three correlation sources into account: the location of interferers, the wireless channel, and the data traffic. We introduce the interference coherence time-in analogy to the well-established channel coherence time-and show how its basic qualitative behavior depends on the source of correlation. The insights gained can be useful in the design of medium access control and retransmission protocols.
AB - This article takes an analytical approach to investigate the temporal dynamics of interference in wireless networks. We propose a framework to calculate the autocorrelation of interference in Poisson networks and derive closed-form expressions for the case of Nakagami fading. The framework takes three correlation sources into account: the location of interferers, the wireless channel, and the data traffic. We introduce the interference coherence time-in analogy to the well-established channel coherence time-and show how its basic qualitative behavior depends on the source of correlation. The insights gained can be useful in the design of medium access control and retransmission protocols.
KW - Correlation
KW - Interference
KW - Coherence
KW - Rayleigh channels
KW - Mathematical model
KW - Nakagami distribution
UR - https://ieeexplore.ieee.org/document/8697126/
U2 - 10.1109/TMC.2019.2912373
DO - 10.1109/TMC.2019.2912373
M3 - Article
SN - 2161-9875
VL - 19
SP - 1506
EP - 1518
JO - IEEE Transactions on Mobile Computing
JF - IEEE Transactions on Mobile Computing
IS - 7
M1 - 8697126
ER -