ZTE solution for high-load network
ZTE proposed algorithm based on deci wireless optimization and innovation of multi-cell downlink interference Xietong mdic coverage optimization stage algorithm can reduce the network with the vision of frequency interference, thereby enhancing the td user perceptions.
Analysis of user distribution and frequency of interference with adjacent areas known, adjacent areas of power competition between the edge of the user will cause the system to uplift the end of noise, power control will result in serious failure. Cell edge users in the same frequency when concentrated, ue to resist interference between, will have the power lifting competition, improves the receiver's noise floor. The impact on user performance in good signal Shique service access network failure or dropped calls, thus reducing network capacity, affecting the user perceptions.
The above analysis shows, the traditional optimization based pccpch coverage, high load capacity in the business network the same below-frequency interference severely affect the user perception: a signal but can not phone, good signal but can not take phone calls during the off voice , calls the process suddenly dropped calls, picture download slow. So, what kind of strategy to ensure user awareness, maintain high network performance and stability under load operations, will no doubt be raising td user perceptions need to be resolved key issues.
Appears under high load network for the same frequency interference, ZTE introduced innovative coverage optimization program - based on deci algorithm optimization and innovation of wireless downlink multi-cell interference coordination mdic algorithm. Deci-based optimization program, you can override vision of optimization phases to reduce network interference with frequency, while the mdic algorithm can avoid the high-load network under the same frequency interference, a combination of both network performance enables high load to achieve the best.
Channel based business network optimization program deci high load
N frequency network for cellular mobile communication system, on the one hand, its main public control channel and traffic channel frequency reuse inconsistencies in degrees, so the main public control channel c / i can not truly reflect the business channel c / i status; another regard, the network construction phase, a small number of users, the network is in light load conditions, measured by way of business test terminal channel c / i, can not effectively reflect the network load in case of certain business channel interference conditions.
ZTE wireless network optimization based on years of experience, innovation and raised the quality of service channel calculation: dpch equivalent to c / i (dpchequivalentc / i, deci) algorithm, can services district and the adjacent areas of the main temple strong public letter value ( pccpchrscp), calculated by the main service channel quality cell business, which dpch equivalent c / i. deci algorithm is applicable to service n network frequency channel quality estimation, network interference for high load level, performance analysis to provide a reliable assessment. By calculating the equivalent dpchc / i can find coverage in the region with the frequency of serious interference by adjusting the antenna engineering parameters to optimize the frequency resource, reducing interference with frequency.
Based deci of network optimization tools in the current network of the scale testing and validation, in a land td networks, through adjacent areas of statistical pccpch the same frequency the probability of 8%, while traffic channel with the frequency probability of 55%; based deci Algorithm Statistics can see, pccpchc / i is less than-3db accounted for 0.75%, while the equivalent dpchc / i ratio is less than-3db higher to 5.90%. From March 1 to March 15, is in the local network of a large number of deci-based optimization, including: 60 plots were rf optimization; adjusted 111 carrier frequency resources, equitable distribution of frequency resources; on 65 Community wireless parameter adjustment. After the deci-based optimization, dpch coverage has improved, the equivalent dpchc / i is less than-3db of sampling points improvement from the 5.90% to 1.03%.
Before and after optimization based deci dpchc / i's cumulative distribution function (cumulative distribution function) map to two points: under high load network pccpchc / i can not be equated dpchc / i: pccpchc / i is less than-3db of 0.75% of the sampling points , while the equivalent dpchc / i is less than-3db of use accounted for 5.90% points; based deci optimized dpch coverage have been greatly improved: the equivalent dpchc / i is less than-3db of sampling points improvement from the 5.90% to 1.03%.
High-load network solutions mdic rrm
Downlink multi-cell interference coordination mdic (multi-cell downlink interference coordination, mdic) is a method to avoid interference with the frequency, the main strategy is to consider the services through integrated district and adjacent areas of power interference, giving the user a reasonable allocation of resources, ensure that the downlink has a good c / i; the same time, real-time monitoring user downlink c / i, and worsen pre-adjusted, to ensure business continuity users to enhance the user perception. mdic algorithm includes interference with adjacent areas based resource allocation strategies and user-based interference detection link resource adjustment strategy in two ways.
Interference with adjacent areas based resource allocation strategies, through the adjacent areas of pccpchrscp reported interference with adjacent areas to determine the collection, available through the service cell interference power and interference in adjacent areas downlink quality estimation, the above two-step estimation of the interference, the user distribution to interfere with a small frequency / time slot.
mdic algorithm took into account adjacent residential areas to access the frequency of downlink interference, to calculate the carrier frequency of c / i value. User access, switching, mdic algorithm to select a minimum interference with adjacent areas of the frequency; the user to maintain the process, mdic algorithm for real-time monitoring of the user's interference, in time for the user to adjust to the smallest district of interference on the carrier frequency or time slot. By carrier frequency selection and adjustment, mdic algorithm effectively reduces the user interference, improve the success rate of user access, reduce dropped calls rate.
To the network from a drawing in the net for the algorithm testing before and after adjustment dpchiscp comparison table can be seen, adjust the maximum reduction after dpchiscp 14db, minimum lower 3db, the average decrease 7.86db, link to adjust significantly reduce the interference effect.
To further verify the deci and mdic application results in a simulated load through building high-load networks, deci-based optimization scheme of the rf network optimization, greatly reduced the frequency of interference with the network; in the simulation is loaded, open mdic algorithm further to avoid interference with the frequency.
According to road test the cs field performance, load simulation, a slight deterioration after the switch rate indicators. cs business connection rate dropped from about 99.1% to 98.91%, from 0% of the drop call rate rose to 1.1%, but in mdic algorithm opens, targets have significantly improved the success rate of recovery from the call to more than 99% off If the rate improved to 0.5%. Directly reflect the degree of user perception of wireless performance indicators (such as bler, dpchiscp, dpchc / i and other indicators), the rf-based deci were significantly improved after optimization, dpch equivalent c / i is less than-3db of sampling points from the 5.90 % improvement to 1.03%.
By analyzing the network for high-load problems of traditional optimization methods, ZTE proposed two innovative, high-capacity network solution with frequency interference: rf optimization algorithm based on deci programs, and innovative multi-cell downlink interference coordination mdic program .
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