Radio resource management for V2V multihop communication considering adjacent channel interference
Artikel i vetenskaplig tidskrift, 2020

This paper investigates schemes for multihop scheduling and power control for vehicle-to-vehicle (V2V) multicast communication, taking into account the effects of both co-channel interference and adjacent channel interference, such that requirements on latency or age of information (AoI) are satisfied. Optimal performance can be achieved by formulating and solving mixed Boolean linear programming (MBLP) optimization problems for various performance metrics, including network throughput and connectivity. Fairness among network nodes (vehicles) is addressed by considering formulations that maximizes the worst-case network node performance. Solving the optimization problem comes at the cost of significant computational complexity for large networks and requires that (slow) channel state information is gathered at a central point. To address these issues, a clustering method is proposed to partition the optimization problem into a set of smaller problems, which reduces the overall computational complexity, and a decentralized algorithm that does not need channel state information is provided.

Scheduling

power control

co-channel interference (CCI)

signal to interference and noise power ratio (SINR).

adjacent channel interference (ACI)

Författare

Anver Hisham Unnichiriyath Siddique

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Erik Ström

Chalmers, Elektroteknik, Kommunikations- och antennsystem

Fredrik Brännström

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

IEEE Transactions on Intelligent Transportation Systems

1524-9050 (ISSN)

Fifth Generation Communication Automotive Research and innovation (5GCAR)

Europeiska kommissionen (EU), 2017-06-01 -- 2019-05-31.

Ämneskategorier

Transportteknik och logistik

Kommunikationssystem

Reglerteknik

DOI

10.1109/TITS.2020.3001366

Mer information

Senast uppdaterat

2021-01-13