Method for reporting beam information in wireless communication system, and apparatus therefor
US-2022256382-A1 · Aug 11, 2022 · US
AI/ML based SS burst set and CSI-RS TRS configuration optimization and improving NR network power and spectral efficiency
US12302173B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12302173-B2 |
| Application number | US-202217882207-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 5, 2022 |
| Priority date | Aug 12, 2021 |
| Publication date | May 13, 2025 |
| Grant date | May 13, 2025 |
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Abstract
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A system for optimizing one of a 5G New Radio (NR) network or a 4G Long Term Evolution (LTE) network operation, includes: an artificial intelligence (AI) engine configured to: a) implement at least one of the following: i) collection of raw training data set; ii) training of an AI agent; iii) inference generation triggered by UE; iv) using at least one of network key performance indicator (KPI) report and network operator inputs; and v) network KPI collection after application of inferences; and b) at least one of infer and apply at least one of i) network-wide optimal per-gNB or per transmission/reception point (TRP) Synchronization Signal (SS) burst set, and ii) associated channel state information reference signal (CSI-RS) configurations for downlink (DL) reference signal transmissions, thereby enhancing at least one of network transmission power efficiency and spectral efficiency.
First claim
Opening claim text (preview).
What is claimed: 1. A method of optimizing one of a 5G New Radio (NR) network or a 4G Long Term Evolution (LTE) network operation, comprising: defining a set of observation time windows T W , w≥1, at a gNB as follows: min η 1 , η 2 , … η S SBeamIdx { S D ∀ SS Beams with # of RACH detection ≥ N th } Over all { T W } and min { v η 1 , v η 2 , … v η S SBeamIdx , N U E Connected _ Tw } { N SS ≤ N SS 3 GPP max } over all { T W } such that max S D , N S S T IA ≤ T IA _ max T IA wherein: T IA_max is a maximum initial access (IA) latency stipulated by a network operator, defined as T IA = ( ⌈ s D N S S ⌉ - 1 ) T S S + T last + T PRACH ;
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radio quality, e.g. interference, losses or delay · CPC title
Threshold monitoring · CPC title
Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF] · CPC title
Negotiating SLA [Service Level Agreement]; Negotiating QoS [Quality of Service] · CPC title
Reinforcement learning · CPC title
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- What does patent US12302173B2 cover?
- A system for optimizing one of a 5G New Radio (NR) network or a 4G Long Term Evolution (LTE) network operation, includes: an artificial intelligence (AI) engine configured to: a) implement at least one of the following: i) collection of raw training data set; ii) training of an AI agent; iii) inference generation triggered by UE; iv) using at least one of network key performance indicator (KPI)…
- Who is the assignee on this patent?
- Mavenir Systems Inc
- What technology area does this patent fall under?
- Primary CPC classification H04W28/0967. Mapped technology areas include Electricity.
- When was this patent published?
- Publication date Tue May 13 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 5 related publications on this page (citations in our corpus or others sharing the same primary CPC).