Patent No. US10582515 (titled "Optimizing resources in data transmission") on Feb 1, 2018. The application was issued on Mar 3, 2020.
’515 is related to the field of digital data distribution over multi-carrier networks, specifically focusing on optimizing multicast transmissions in environments like DOCSIS 3.1 or OFDM-based wireless systems. In these networks, a single content stream is often delivered to multiple recipients simultaneously, but each recipient may experience vastly different signal conditions or possess different hardware limitations. Traditionally, a transmitter might default to the lowest common denominator to ensure all devices can receive the signal, which leads to significant spectral inefficiency and wasted bandwidth.
The underlying idea behind ’515 is to select specific subcarriers for a shared transmission by calculating the potential capacity loss incurred when forcing high-performing devices to match the limitations of lower-performing ones. Instead of arbitrarily assigning frequencies, the system evaluates the bit-loading capability of every device across the available spectrum. By identifying subcarriers where the performance gap between the strongest and weakest receivers is smallest, the system can minimize the aggregate 'wasted' potential of the network, ensuring that the chosen frequencies are naturally suited for the specific group of devices requesting the data.
The claims of ’515 focus on a dynamic selection mechanism that determines an optimal set of subcarriers based on a comparison of device capability profiles. The independent claims describe a process of determining a maximum capability and a minimum capability for each individual subcarrier across a pool of requesting devices. By calculating the difference between these two extremes, the system derives a capacity loss metric for every frequency. The claims specifically cover using these metrics to select a subset of subcarriers that minimizes this loss for a multicast transmission group.
In practice, the invention functions as an intelligent scheduler that sits between the content source and the physical layer modulators. When a group of users requests a high-bandwidth stream, such as a live sports broadcast, the system retrieves capability profiles—which might include modulation error ratios or supported QAM levels—for each user. It then performs a subcarrier-by-subcarrier audit to find the 'sweet spots' in the spectrum where the users' capabilities are most similar. This prevents a single user with a poor connection from dragging down the efficiency of the entire multicast group across the whole frequency block.
This approach differs from prior solutions that typically relied on static frequency assignments or simple 'lowest-common-denominator' modulation across all active subcarriers. By focusing on the capacity reduction metric, the invention allows for a more surgical allocation of resources. It can even trigger adjustments in encoding parameters or bit rates in real-time to better fit the specific limitations of the optimal subcarrier set. This ensures that the network maintains the highest possible throughput while still guaranteeing that every device in the multicast group can reliably decode the incoming data.
In the mid-2010s when ’515 was filed, wireless communication systems were increasingly tasked with delivering high-bandwidth content to multiple concurrent users at a time when multicast transmissions were typically implemented using a lowest-common-denominator approach. When systems commonly relied on fixed modulation and coding schemes to ensure the least capable device in a group could maintain a connection, the resulting spectral efficiency was often suboptimal for more capable devices. During this era, hardware and software constraints made the dynamic, per-subcarrier optimization of multicast groups non-trivial, as managing the intersection of varying device capabilities and fluctuating channel conditions required significant computational overhead at the network controller level.
The disclosed technology achieves a meaningful technical advancement through an architectural shift in how subcarriers are allocated for group data transmissions. By managing a plurality of capability profiles that define specific parameters, such as modulation levels for available subcarriers, the system can dynamically identify an optimal subcarrier set based on the similarity of device capabilities. This integration of device-specific processing profiles into the subcarrier selection logic enables a technical effect where capacity loss is minimized across a heterogeneous group of receivers. The solution overcomes the constraint of resource wastage inherent in uniform broadcasting by selecting subcarriers that maximize collective throughput while respecting the individual demodulation and decoding limits of each participating device.
This patent contains a total of 20 claims, with claims 1, 10, and 16 serving as the independent claims. These independent claims focus on an apparatus designed to optimize data transmissions by analyzing the capability profiles or subcarrier parameters of multiple requesting devices to identify an optimal set of subcarriers or multicast groups that minimize capacity loss. The dependent claims further refine these operations by specifying methods for calculating capacity loss, adjusting encoding and modulation parameters, implementing carrier aggregation across different frequency bands, and applying these techniques to scalable video coding or orthogonal frequency division multiplexing systems.
Definitions of key terms used in the patent claims.
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