Adjacent Channel Interference Aware Joint Scheduling and Power Control for V2V Broadcast Communication
Journal article, 2021

IEEE This paper proposes scheduling and power control schemes to mitigate the impact of both co-channel interference (CCI) and adjacent channel interference (ACI) on direct vehicle-to-vehicle broadcast communication. The objective is to maximize the number of vehicles that can communicate with the prescribed requirement on latency and reliability. The joint scheduling and power control problem is formulated as a mixed Boolean linear programming (MBLP) problem. A column generation method is proposed to reduce the computational complexity of the joint problem. From the joint problem, we formulate a scheduling-alone problem (given a power allocation) as a Boolean linear programming (BLP) problem and a power control-alone problem (given a schedule) as an MBLP problem. The scheduling problem is numerically sensitive due to the high dynamic range of channel values and adjacent channel interference ratio (ACIR) values. Therefore, a novel sensitivity reduction technique, which can compute a numerically stable optimal solution at the price of increased computational complexity, is proposed. Numerical results show that ACI, just as CCI, is a serious problem in direct vehicle-to-vehicle (V2V) communication due to near-far situations and hence should not be ignored, and its impact can be reduced by proper scheduling and power control.

RRM

scheduling

Vehicle-to-vehicle (V2V)

adjacent channel interference (ACI)

ACI ratio (ACIR)

power control

Author

Anver Hisham Unnichiriyath Siddique

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Di Yuan

Linköping University

Erik Ström

Chalmers, Electrical Engineering, Communication and Antenna Systems

Fredrik Brännström

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

IEEE Transactions on Intelligent Transportation Systems

1524-9050 (ISSN)

Vol. 22 1 443-456

Fifth Generation Communication Automotive Research and innovation (5GCAR)

European Commission (EC), 2017-06-01 -- 2019-05-31.

Subject Categories

Computational Mathematics

Communication Systems

Control Engineering

DOI

10.1109/TITS.2020.2968526

More information

Latest update

2/12/2021