Sidelink Positioning in India: Chasing Sub-Meter Accuracy for Connected Mobility

The problems being solved

In the dense traffic of Mumbai or the cluttered factory floors of Pune, knowing exactly where a vehicle, robot, or worker stands relative to everything else is not a luxury—it’s a safety imperative. Sidelink positioning promises direct device-to-device ranging without relying on cellular base stations or satellite signals, but the central problem remains: achieving consistent sub-meter accuracy in real-world conditions.

Multipath reflections off buildings and metal structures, clock drift between unsynchronised devices, and non-line-of-sight blockages all conspire to degrade positioning. For vehicle-to-everything (V2X) communication, a pedestrian stepping out from behind a truck must be located with near-instantaneous precision. In industrial IoT, an autonomous guided vehicle needs to dock at a charging station with centimetre-level repeatability. These are the concrete, messy challenges that sidelink positioning must solve.

How the field is solving it

The technical response is a blend of signal design, algorithmic innovation, and spectrum agility. Time-based methods like round-trip time (RTT) and time-difference-of-arrival (TDOA) form the backbone, often fused with angle-of-arrival or angle-of-departure measurements to combat multipath. Carrier phase tracking, borrowed from high-precision GNSS, is being adapted for sidelink reference signals (SL-PRS) to push accuracy toward decimetre levels.

Where the novelty sits is in making these techniques robust without perfect synchronisation. Machine learning models are being trained to recognise and mitigate non-line-of-sight patterns from raw channel measurements. Cooperative positioning, where multiple devices share ranging information, turns a swarm of sensors into a self-correcting mesh. And with 3GPP Release 19 extending sidelink to unlicensed spectrum (SL-U), innovators are exploring how to harness wider bandwidths for sharper resolution while managing coexistence.

• Time-based ranging (RTT, TDOA) combined with angle estimation (AoA/AoD)
• Carrier phase measurement on sidelink reference signals for high precision
• Machine learning for non-line-of-sight identification and mitigation
• Cooperative positioning across device clusters to improve reliability
• Extension to unlicensed spectrum (SL-U) for increased bandwidth and flexibility

Where the market is heading

The momentum behind sidelink positioning is unmistakable. Automotive V2X mandates are crystallising in multiple geographies, and industrial private 5G networks are demanding localisation services that work indoors where GPS fails. India’s own push toward smart cities, connected vehicle corridors, and the ‘Make in India’ telecom equipment drive creates a receptive environment. While precise market sizing is elusive, the global appetite for precise positioning in connected systems is swelling, with automotive and industrial segments expected to anchor demand through the decade.

Standardisation is a key tailwind. The ongoing work in 3GPP Release 18 and 19, including the SL-U extension, signals that sidelink positioning is moving from a niche feature to a foundational capability. For India, where two-wheeler safety, public transport coordination, and dense logistics hubs present acute positioning needs, the market pull is as much about local problem-solving as global trend adoption.

The white space

Even as standards mature, significant gaps remain that spell opportunity. Urban canyons, underground parking, and metal-rich factory environments still break most positioning engines. Spectrum availability for sidelink in India is an open question, and the interplay with satellite-based augmentation like NavIC is largely unexplored. There is room to design lightweight, low-cost positioning protocols tailored for the two-wheeler and three-wheeler segments that dominate Indian roads.

The white space is rich for innovators who can fuse sidelink measurements with inertial sensors, cameras, and India-specific map data to deliver reliable accuracy where it matters most. Solutions that work with minimal infrastructure, adapt to unlicensed bands, and respect the power and cost constraints of mass-market devices will define the next wave of value creation.

• Robust positioning in dense urban and indoor industrial environments
• Integration of sidelink with NavIC and other regional navigation aids
• Low-cost, low-power implementations for two-wheeler and pedestrian safety
• Dynamic spectrum sharing and unlicensed band operation under Indian regulations
• End-to-end systems that combine sidelink, sensor fusion, and edge intelligence

Explore the innovators

The inventors and patent filers working on these exact challenges—from carrier phase algorithms to cooperative mesh positioning—are already shaping India’s sidelink positioning story. Their work spans signal processing, standards contributions, and system architectures tuned for local conditions. You can discover the specific patents, the research teams, and the technology trajectories on Deeptech Navigator, where the landscape comes alive without the noise.

In our data

Sources

• Sidelink Positioning: Standardization Advancements, ... ↗
• Who Needs Basestations When We Have Sidelinks? ↗
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• Top Global Supply Chain Companies for Electronics Manufacturing ↗
• 5G Position Sensing Market Size and Statistics - 2030 ↗
• Indoor Positioning And Navigation Market Report, 2024-2030 ↗