Toward neighborhood prediction using Physical-Layer Network Coding

Abstract

In this paper we investigate the improvements in the capability of neighborhood prediction when the Physical-Layer Network Coding (PLNC) is used for relaying messages in Vehiculars Ad Hoc Networks (VANETs). We compute the probability that a link between two nodes is available at a given time in a three-node cooperative network, and we demonstrate that the use of PLNC, compared to the use of Network Coding (NC)based or traditional routing (TR)-based relaying techniques, leads to a better accuracy of the neighborhood prediction. We also demonstrate that the accuracy of the prediction is tightly related to the mobility model used and that this tight relationship can be relaxed by using PLNC-based relaying neighborhood prediction (PRNP). The results demonstrate that PRNP can improve the accuracy of neighborhood prediction due to the high network capacity of PLNC-based networks.

The Feasibility of Mobile Physical-Layer Network Coding with BPSK Modulation

“…PNC as a performance booster for various networking functions in VANETs has been previously studied. [16] proposed the use of PNC for neighbor discovery in VANETs, and [17] proposed a MAC protocol for PNC in VANETs. However, these works neglected the CFO problem in PNC that motivates us to investigate the feasibility of PNC in MANETs/VANETs.…”

“…9 also shows that to achieve a BER on the order of 10 −6 , BP-PNC needs at most 3 dB extra SNR compared with TS, for not too high ∆δ ≤ 0.15. Note that this 3 dB extra SNR can be traded for halved transmission times in TWRC, as the downlink BER of PNC is generally comparable to that of TS [16].…”