India's Wireless Positioning Push: Precision, Power, and New Frontiers

The problems being solved

Wireless positioning in India is moving far beyond simple location fixes. Innovators are zeroing in on four stubborn challenges that make indoor and dense-urban positioning unreliable: raw accuracy, measurement overhead, multipath distortion, and the unique demands of beam-based 5G networks.

On the accuracy front, the push is to extract centimetre-level precision from cellular signals. This means wrestling with carrier phase and timing estimation, stitching together non-contiguous bandwidth to sharpen time-of-arrival measurements, and exploiting angle-of-departure information from beamformed transmissions. The goal is positioning that works even when a direct line-of-sight is missing.

Efficiency is equally critical. Current positioning procedures can flood the air interface with measurement reports and reference signal overhead. The problem statements reveal a clear need to cut latency and signalling — through on-demand PRS activation, batch and differential reporting, and smarter handling of measurement gaps that clash with high-priority traffic.

Multipath and non-line-of-sight conditions remain the classic spoilers. Indian patent activity shows a focus on detecting the true line-of-sight path using reflection-based ranging, selecting the right path delay algorithm on the fly, and comparing power delay profiles to spot NLOS situations. Meanwhile, beam-based positioning introduces its own complexity: how to represent beam shapes in assistance data, configure multiple transmission points, and report antenna information for angle-based measurements.

• Carrier phase and bandwidth aggregation for centimetre-level accuracy
• On-demand PRS and differential reporting to slash signalling overhead
• LOS detection and path delay algorithm selection for multipath-heavy environments
• Beam shape representation and antenna reporting for 5G angle-based positioning

How the field is solving it

The technical approaches surfacing in Indian patents are pragmatic and deeply embedded in 3GPP-style cellular architecture. Rather than inventing entirely new signals, innovators are re-engineering how positioning reference signals are configured, measured, and reported.

One major thrust is adaptive reference signal design. PRS resources are being made on-demand, with configurable bandwidth, beam direction, and timing offsets. This lets the network dial up precision only when needed, saving power and spectrum. In parallel, advanced measurement reporting techniques are cropping up: batch reporting that packs multiple measurements into one message, differential reporting that sends only changes, and low-latency signalling that cuts the time to first fix.

On the signal processing side, carrier phase processing is being combined with joint time-of-arrival estimation across disjoint bandwidth chunks — effectively creating a wider virtual bandwidth. Channel reconstruction and even bio-inspired algorithms like pheromone matrices are being explored to improve timing and angle estimates. For multipath, the solutions are equally inventive: reflection-based ranging to infer LOS, dynamic selection of path delay detection algorithms, and prioritising PRS resources based on multipath characteristics.

Finally, UE-network coordination is getting a rethink. Capability exchanges allow low-tier devices to lean on premium UEs for assistance, autonomous gap configuration avoids scheduling collisions, and handling conflicts with high-priority channels ensures positioning doesn't disrupt critical communication.

• Adaptive PRS with on-demand activation, beam steering, and configurable bandwidth
• Batch, differential, and low-latency reporting to reduce overhead
• Carrier phase processing and joint ToA estimation over non-contiguous spectrum
• Reflection-based LOS detection and dynamic path delay algorithm selection
• Capability adaptation and premium UE assistance for resource-constrained devices

Where the market is heading

The broader in-building wireless market, which underpins indoor positioning, is already a low-tens-of-billions-of-dollars global space — MarketsandMarkets pegged it at roughly USD 22–24 billion in 2025, growing at a double-digit annual rate. While India-specific figures are not separately broken out, the tailwinds are unmistakable: 5G rollouts are accelerating, enterprise private networks are expanding, and public-safety mandates are pushing for reliable indoor location.

Several technology currents are converging. The commercialisation of 5G is enabling high-precision positioning in complex indoor environments, while the rapid rise of Wi-Fi 7 — forecast to grow at over 50% CAGR — promises higher bandwidth and lower latency that directly benefit positioning. Researchers note a growing adoption of AI and large models to create adaptive positioning systems, a trend that aligns with the early ML-inspired approaches seen in Indian patent activity. The convergence of Wi-Fi 7 and 5G on common infrastructure is expected to make seamless indoor-outdoor positioning a practical reality.

Demand is being pulled by both enterprise and consumer use cases: asset tracking in factories, wayfinding in hospitals and malls, and location-based services in smart cities. The momentum is clearly rising, and the innovation focus on efficiency and accuracy positions Indian R&D to contribute meaningfully to global standards.

• Global in-building wireless market in the low tens of billions, growing at double-digit CAGR (MarketsandMarkets, 2025)
• 5G and Wi-Fi 7 convergence driving high-precision indoor positioning
• AI adoption and private network growth creating demand for adaptive, low-latency location systems

The white space

While the patent landscape reveals strong activity in core accuracy and efficiency, several fertile areas remain lightly explored — and that's where the opportunity lies.

Positioning for low-capability and IoT devices is a clear gap. Only a handful of problem statements address how a low-tier UE can be assisted by a premium device or how power can be saved by reducing PRS processing. As India's IoT ecosystem expands, ultra-low-power positioning that doesn't compromise accuracy will be essential. Similarly, repeater and relay-assisted positioning is barely touched; using enhanced repeaters or smart relays to improve coverage and accuracy in deep indoor or basement scenarios could unlock new use cases.

Machine learning and AI-driven positioning is another frontier. While one patent mentions pheromone matrices, the broader application of neural networks for multipath mitigation, NLOS classification, or adaptive PRS configuration is largely absent. This is a space where Indian innovators can leapfrog by embedding AI directly into the measurement and reporting pipeline, moving beyond traditional signal processing. The convergence of Wi-Fi 7 and 5G also opens a white space for multi-RAT positioning fusion — combining cellular and Wi-Fi measurements in a single, seamless framework.

• Ultra-low-power positioning for IoT and low-tier devices
• Repeater and relay-assisted positioning for deep indoor coverage
• AI/ML-driven multipath mitigation and adaptive PRS configuration
• Multi-RAT fusion across 5G and Wi-Fi 7 for seamless indoor-outdoor transitions

Explore the innovators

The specific inventors, patents, and companies working on these wireless positioning challenges in India can be explored on Deeptech Navigator. The platform surfaces the detailed problem statements, technical approaches, and the people behind the patents — giving you a direct view into where the next breakthroughs are taking shape.

In our data

Sources

• Wireless Positioning: Technologies, Applications, Challenges, and ... ↗
• Combain's WiFi and Bluetooth Indoor Positioning System explained ↗
• Positioning Using Wireless Networks: Applications, Recent Progress and ... ↗
• 5 supply chain technologies that deliver competitive ... ↗
• Ericsson next generation end-to-end connected supply chain ↗
• Enhancing supply chain performance using RFID ... ↗
• In-Building Wireless Market Report 2025-2030, by Hardware, Geo, Tech ↗
• In-building Wireless Market Size, Share During 2035 ↗