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The Rise of Edge-Based Location Solutions

2023-06-25 05:33:43
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Illustration: © IoT For All

Positioning technology plays an essential role in many industries, including transportation, industrial, healthcare, and retail. In recent years, technology companies have developed various methods to provide accurate and reliable geolocation services. However, each approach has its challenges, and not all solutions are created equal. Let’s examine why edge-based location solutions are more effective than cloud-based positioning for the ever-expanding Internet of Things (IoT).

“Positioning technology plays an essential role in many industries, including transportation, industrial, healthcare, and retail.”

Challenges with Traditional Positioning Methods

Traditional positioning methods such as Global Navigation Satellite System (GNSS), Wi-Fi, and Bluetooth (BT) have been around for many years and are commonly used in mobile phones. However, they are not appropriate for massive IoT applications and low-cost devices and services.

GNSS, for example, requires a clear view of the sky to provide accurate satellite-based positioning, which is challenging in urban environments or indoors. Wi-Fi and Bluetooth positioning is more accurate indoors but requires significant infrastructure to provide accurate positioning. Additionally, these traditional methods are not scalable, and implementation costs can be prohibitive.

Cloud-Based vs. Edge-Based

Cloud-based cellular positioning has been touted as a solution to the scalability and cost issues of traditional methods. However, cloud-based positioning offers no benefits over edge-based solutions, and in fact, performs significantly worse in nearly every metric that is important for massive machine-type communications (mMTC).

The extra processing power required for cloud-based positioning solutions does not yield any benefits in accuracy, while potentially generating higher operating costs for increased processing performance over time. The only perceived benefit of cloud-based positioning is accuracy, which assumes that highly sophisticated algorithms can be employed because of the seemingly unlimited processing power.

In addition to the increased monetary costs of higher performance, cloud-based solutions drive up power requirements for mobile devices, with no guaranteed benefits of greater accuracy. With cloud-based positioning, the device is required to connect to the network for each position fix.

These connections activate the RF transmit power amplifier, which involves many back-and-forth data exchanges with the network. For highly power-constrained mMTC applications, each connection is precious and should be avoided when possible. Additionally, latency issues in data transmission can make cloud-based positioning unfeasible in applications such as robotics or geofencing that require ultra-low latency.

The Solution: Pushing Location to the Edge

The solution for mMTC positioning is to push the location to the edge and allow the edge devices to calculate their location estimates. Edge-based positioning solutions using 5G technology have emerged as the next generation of global location systems. Unlike cloud-based positioning, edge-based solutions minimize power-intensive data exchanges with the network.

5G edge-based cellular location technology is fundamentally different from any other wireless location technology and provides the following benefits:

  • Lower-cost devices: Eliminates the need for GPS and Wi-Fi chips in trackers for most applications.
  • Accuracy: Near GNSS accuracy levels outdoors and aisle-level accuracy indoors can be achieved using private LTE/5G deployments today for IoT and will improve as standards evolve (10-40 times better than current 4G LTE technology).
  • Extended battery life: Works in low-power receive-only mode on wireless chips and provides several orders of magnitude improvement over Wi-Fi, GNSS, or 4G LTE alternatives (70-100 times better).
  • Spectrally efficient: Provides the lowest use of spectrum so operators can deliver service without needing to add additional equipment or channels (300 times fewer data usage than all other alternatives).
  • Enables new applications due to unlimited positioning capabilities such as geofencing and breadcrumbing.
  • Enhanced privacy: Position information is generated on the device and owned solely by the customer.
  • Simpler cost model: With 5G connectivity, alternative ecosystem pricing models are not required, and service fees are billed through the carrier with no third-party involvement.
  • Easily upgraded: Software and firmware can be upgraded through over-the-air (OTA) updates for performance improvements and analytics.
  • Standards-compliant and future-proofed: 5G edge-based positioning technology complies with the 3GPP standards roadmap for the next 7 years.

The Future of Location Solutions

IoT positioning challenges are numerous and complex. While traditional positioning technologies such as GNSS, Wi-Fi, and Bluetooth may work well for mobile phones, they are not suitable for massive IoT scaling and low-cost devices and services. Cloud-based location solutions, while offering the potential to use highly sophisticated algorithms to improve accuracy, come with significant costs, power requirements, and latency issues that make them unfeasible for many applications.

The emergence of 5G edge-based cellular location technology presents a promising solution to these challenges. It can provide accurate and scalable location information for IoT devices with minimal network interaction, lower costs, and significantly improved use of the operator spectrum.

Compared to traditional positioning technologies and cloud-based solutions, edge-based positioning provides many benefits, including lower-cost devices, extended battery life, and enhanced privacy. It also simplifies cost models by relying solely on cellular technology and enables easy upgrades through OTA firmware updates. In addition, edge-based solutions are compliant with 3GPP standards and future-proofed, making them a reliable and viable option for IoT applications, now and in the future.

While the challenges of geolocation positioning for IoT may seem daunting, 5G edge-based cellular location technology provides a promising solution. By pushing location to the edge and allowing devices to calculate their location estimates, developers can create more cost-effective and efficient IoT solutions. 5G edge-based location services can deliver on the promise of IoT to improve our lives and transform industries.

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  • Bluetooth Low Energy
  • Cloud Software
  • Connectivity
  • Edge Computing
  • Indoor Positioning

  • Bluetooth Low Energy
  • Cloud Software
  • Connectivity
  • Edge Computing
  • Indoor Positioning

参考译文
基于边缘的定位解决方案的兴起
插图:© IoT For All --> 定位技术在许多行业中发挥着至关重要的作用,其中包括交通运输、工业、医疗保健和零售业。近年来,技术公司已经开发出各种方法,以提供准确且可靠的地理定位服务。然而,每种方法都存在其挑战,并非所有解决方案都是一样的。让我们来看看基于边缘的定位解决方案为何在不断扩展的物联网(IoT)中比基于云端的定位方式更加有效。“定位技术在许多行业中发挥着至关重要的作用,其中包括交通运输、工业、医疗保健和零售业。”传统定位方法的挑战 传统定位方法,如全球导航卫星系统(GNSS)、Wi-Fi和蓝牙(BT),已经存在多年,通常用于智能手机中。然而,它们并不适合大规模物联网应用以及低成本的设备和服务。例如,GNSS需要清晰的天空视野,才能提供基于卫星的准确定位,在城市环境或室内中实现这一点非常困难。Wi-Fi和蓝牙的室内定位更为准确,但需要大量基础设施支持才能实现高精度定位。此外,这些传统方法不具备可扩展性,实施成本可能非常高昂。基于云端与基于边缘的解决方案 基于云端的蜂窝定位曾被认为是解决传统方法可扩展性和成本问题的方案。然而,基于云端的定位在任何方面都没有优于基于边缘的解决方案,事实上,它在大规模机器类型通信(mMTC)所依赖的几乎所有指标上都表现较差。云端定位方案所需的额外计算能力并未带来任何准确性上的提升,反而可能随着时间推移因增加的处理性能而产生更高的运营成本。云端定位的唯一假定优势是准确性,其前提是看似无限的计算能力可以支持使用高度复杂的算法。除了更高的性能带来的成本上升,基于云端的解决方案还会增加移动设备的功耗,而准确性提升却没有保障。每次定位都需要设备连接到网络,这会激活无线射频发射功率放大器,从而与网络进行大量来回数据交换。对于高能耗受限的mMTC应用来说,每次连接都十分珍贵,应尽可能避免。此外,数据传输中的延迟问题使得基于云端的定位在如机器人或地理围栏(geofencing)等需要极低延迟的应用中不可行。解决方案:将定位推向边缘 mMTC定位的解决方案是将定位能力推向边缘,允许边缘设备自行计算位置估计。基于边缘的定位解决方案结合5G技术,已经成为下一代全球定位系统。不同于基于云端的定位方式,边缘解决方案可最大限度地减少与网络之间的高能耗数据交换。5G基于边缘的蜂窝定位技术本质上不同于任何其他无线定位技术,能够提供以下优势:- 成本更低的设备:在大多数应用中无需GPS和Wi-Fi芯片。- 高精度:在户外可接近GNSS的精度水平,室内可实现通道级别的精度,目前可以使用私有LTE/5G部署来实现,且随着标准演进将进一步提升(比当前4G LTE技术高出10-40倍)。- 延长电池寿命:可在无线芯片的低功耗接收模式下运行,相比Wi-Fi、GNSS或4G LTE解决方案提升数个数量级(70-100倍)。- 频谱效率高:所需频谱最少,运营商无需增加额外设备或信道即可提供服务(数据使用量比所有其他替代方案少300倍)。- 由于定位能力无限,可支持地理围栏和轨迹追踪等新应用。- 提升隐私保护:定位信息在设备上生成并由客户独有。- 更简单的成本模型:借助5G连接,无需依赖其他生态系统定价模型,服务费用直接由运营商收取,无需第三方参与。- 易于升级:可通过空中下载(OTA)更新软件和固件以提升性能和分析能力。- 符合标准、面向未来:5G基于边缘的定位技术符合3GPP未来7年的标准路线图。定位解决方案的未来 物联网定位面临的挑战众多且复杂。虽然GNSS、Wi-Fi和蓝牙等传统定位技术对于智能手机来说可能表现良好,但它们并不适合大规模物联网部署以及低成本的设备和服务。基于云端的定位解决方案虽然可能利用高度复杂的算法来提升准确性,但它们带来了显著的成本、功耗和延迟问题,使得在许多应用中难以实施。5G基于边缘的蜂窝定位技术的出现为这些挑战提供了有前景的解决方案。它能够以最小的网络交互、更低的成本和显著提升的运营商频谱利用率,为物联网设备提供准确且可扩展的定位信息。与传统定位技术和基于云端的解决方案相比,基于边缘的定位提供了许多优势,包括更低的设备成本、更长的电池寿命以及更高的隐私保护。此外,它通过完全依赖蜂窝技术简化了成本模型,并可通过OTA固件更新轻松升级。同时,边缘方案符合3GPP标准并具备前瞻性,使它们成为现在和未来物联网应用中可靠且可行的选择。尽管物联网地理定位的挑战看似艰巨,5G基于边缘的蜂窝定位技术正带来希望。通过将定位能力推向边缘并允许设备自行计算位置,开发人员可以构建更具成本效益和效率的物联网解决方案。5G基于边缘的定位服务将真正实现物联网改善人们生活和推动行业变革的潜力。推特分享 邮件分享 蓝牙低功耗 云软件 连接性 边缘计算 室内定位 --> 蓝牙低功耗 云软件 连接性 边缘计算 室内定位
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