Cell Specific Probability Load Balancing in LTE Networks
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Solution Overview
Problem
Current load balancing techniques in cellular networks, such as 3GPP LTE and LTE-A, face challenges in efficiently distributing user equipment (UE) across cells and frequencies, leading to overloading and under-utilization of resources, especially during rapid transitions from idle to connected mode and cell reselection processes.
Innovation Solution
Implementing a cell-specific priority probability (CSPP) mechanism that allows UEs to reselect to under-loaded cells based on load balancing information and predictive algorithms, ensuring uniform distribution across multiple cells and frequencies, thereby minimizing control overhead and handover failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional load balancing techniques are used, then UEs are distributed across cells, but the variance of UE distribution remains high and cells become over-loaded or under-utilized
Solution Approach 1:
The patent changes the parameter of cell reselection by introducing cell-specific priority probability (CSPP) values that dynamically adjust the likelihood of UEs reselecting to particular cells based on current load conditions. This probabilistic approach modifies the traditional deterministic cell reselection parameters to achieve more uniform load distribution across cells, preventing both overloading and under-utilization.
2Reliability
If UEs frequently reselect cells during rapid transitions, then load balancing may be achieved, but control overhead and handover failures increase
Solution Approach 1:
The patent applies preliminary action by providing UEs with predictive algorithms and cell-specific priority probability information in advance during idle mode. This allows UEs to pre-determine optimal cell reselection targets before actual transitions occur, reducing the need for frequent handovers and minimizing control overhead during rapid mode changes between idle and connected states.
3Ease of operation
If deterministic cell reselection is used, then cell selection process is simple, but UE distribution variance remains high
Solution Approach 1:
The patent introduces dynamics into the cell reselection process by implementing cell-specific priority probability (CSPP) mechanisms that adaptively adjust reselection likelihood based on real-time cell load conditions. This dynamic approach maintains operational simplicity for UEs while significantly improving UE distribution uniformity across cells, as the probabilistic weights automatically balance load without complex UE-side calculations.
Data Source
AI summary
An eNodeB (eNB), user equipment (UE) and method of cell reselection are generally described. While in Radio Resource Control (RRC) Idle mode, the UE may receive via a system information broadcast a cell reselection probability and a cell-specific priority list including a list of neighboring eNBs and their priorities for both macro and small cells operating on at least one frequency different from that of the serving eNB. The UE may generate a random number and compare the random number to the cell reselection probability to determine whether the UE is to reselect. The UE may randomly select among eNBs that have the same, highest priority. The UE may receive a predetermined set of cell reselection criteria from the eNB via a system information broadcast to determine whether or not to perform reselection.