21. What’s In It For The Manager? 18/05/10 Optimization Module Brief Page The customers have questions Optimization Module has the answers Indoor DAS or macro network? With the interpolation map of an outdoor signal, a manager can predict with a high-level of confidence – the cost of deploying a full-fledge new indoor network versus the cost of installing minimal equipment that will enhance the quality of coverage. Can we reuse any existing signal in the building? How much hardware do we need?. The optimal antenna placement feature recommends the minimum number of antennas for maximum coverage and data throughput. Which applications can be supported ? Using the results from the output maps , business case for data applications can be built based on the expected revenues that will be generated out of a indoor network deployment. Can I prioritize the coverage based on the applications used? Optimize cost of deployment and improve ROI by eliminating the cost of unnecessary indoor equipment caused by “over-designing”. How do I troubleshoot the system? Using the results from the output maps , one can predict areas of poor quality of coverage and make accurate assessments on possible origins of technical problems.
22.
23.
24.
25.
26.
27.
Hinweis der Redaktion
Welcome to this presentation on the iBwave Optimization Module.
Over 70% of wireless user traffic originating from indoor environments – This creates the driving need for high-quality, high-performance in-building coverage. An optimized in-building design that is both, economical and efficient - leverages the knowledge of available outdoor networks and plans for the indoor coverage against a pre-determined set of design criteria (such as signal level, quality, data throughput) – iBwave solutions now offers the Optimization Module as an add-on product to the industry standard iBwave Design platform, to meet this growing industry need. 39 sec
The Propagation module accurately calculates signal level,and is sufficient if the network is designed for voice coverage only. The Optimization module takes into account both outdoor signal and signal quality, which is critical for data coverage design. Together, they provide a set of features to accurately design 3G and 4G networks, for which both data and voice must be taken into account. 26 sec 18/05/10
There are 4 key features in the Optimization Module that are highlighted in this presentation: Indoor interpolation of the macro RF signal 2) DAS data rate and signal quality maps 3) DAS Soft handoff maps 4) Optimized Antenna Placement (OAP) 24 sec
The indoor interpolation of the macro RF signal determines how the outdoor network impacts the indoor environment – The purpose is to identify indoor areas with weak RF coverage, areas that have no signals, and/or areas with high RF interference There are 3 methods of input to bring the macro signal indoors.. (Without considering the indoor antennas, there are 3 types of input Input from the site survey Input using outdoor planning tools In the absence of the previous 2 options, a third option which offers a less accurate interpolation, uses an estimate macro signal leaking inside or in other words, a macro signal approximate
The second key feature of the optimization module is the data throughput coverage map.
To determine signal level by best serving antenna (propataion module) + interference level, combine indoor and outdoor signals to estimate interference level – end result need signal quality to get to Data rate map. The second key feature of the optimization module is the data throughput coverage map.
LTE simulations @ 5 MHz channel, no MIMO. Outside signal @ -100 dBm at the edge of the building. Data throughput scales linearly as LTE channel size increases, i.e. @ 10 MHz LTE channel max. LTE data throughput is 76 Mbps. Data throughput is a function of both signal level and signal quality (SINR) 18/05/10
The graph is HSPA + graph. The example in the next page is LTE example SNIR and Data rate, work hand in hand to offer quality analylsis Signal Quality coverage maps generated by the Optimization Module Quantifies signal quality (Ec/Nt, SINR, C/I) variation throughout the building Benefit: The Signal quality determines maximum data throughput rate Improving the DAS signal quality also improves the DAS data rate rate coverage maps As shown in the graph SNIR and Data rate, these 2 parameters work hand in hand to offer quality analylsis 18/05/10
This is an example of the signal quality coverage map for an LTE network
While “soft handoff” is beneficial for UMTS voice, it is not beneficial for HSPA data networks, which rely on strong, non-overlapping HSPA signals to produce high data rate. Therefore, WCDMA “soft handoff” areas also indicate areas where HSPA signal may suffer a drop in data throughput - By determining coverage overlap between neighboring sectors , the network can be optimized to reduce soft handoff zones, and increase data throughput. 18/05/10
This is an example of a soft hadoff map for a WCDMA network in an NFL stadium. The Dominant signal occurs in the areas colored in green The Soft hand-off zones are areas colored in red Signal difference between two sectors of 8 dB or less is considered “soft handoff” in WCDMA networks. The HSPA signals in most UMTS networks run on top of WCDMA signals, so WCDMA soft handoff areas are also areas where two HSPA signals are overlapping. 18/05/10
The last key feature of the Optimization Module, highlighted in this presentation is the Optimal Antenna Placement or OAP OAP recommends minimum number of antennas and best antenna locations As a result, it will Eliminates guesswork and error in the preliminary design phase Allows prioritization of coverage zones (“VIP” vs. “regular areas” vs. “no coverage” zones) And by reducing the number of antennas required, this will result in an Optimized cost of the inbuilding DAS OAP uses a scientific approach to analyze target set points to cover services - Depending on the set criteria, it can help lower cost and increase network efficiency.
This is an example of a PCS HSPA plus network, with low interfering macro signals Using the Optimal Antenna Placement feature, it is identified that 12 antennas are required to meet the set criteria. On left side, 12 antennas are highlighted in green – these are recommended by the Optimal antenna placement feature. This is to achieve 21 Mbps over 90% of the target area – as illustrated on the legend on the right, in red. If the interference is high, then a higher number of antennas will be recommended as you will see in the next example. 18/05/10
This is an example of the same PCS HSPA plus network as the previous example. The criteria in both cases are the same, but the interference level is high in this case. The graph on the left hand side shows that 19 antennas highlighted in green are recommended as opposed to the 12 in the previous example. The graph on the right hand side and its corresponding legend shows that Even though 19 antennas are used, only 88% of the target area is covered with 21 Mbps signal when high macro interference is present 18/05/10
This table illustrates that depending on the design criteria set in the iBwave Design network optimization properties, the OAP feature will yield the optimal number of antennas for your network design. On the bottom of this table, it is indicated that even though the propagation frequency is higher (AWS band), the LTE network achieves higher data throughput with less antennas! 18/05/10
The Optimization Module helps to address the following challenges. From the management’s perspective, one can predict with a high level of confidence the cost of deploying a full-fledge new indoor network vs the cost of installing minimal equipment that will enhance the quality of coverage. The optimal antenna placement feature recommends the minimum number of antennas for maximum coverage and data throughput. Using the results from the output maps , the business case for data applications can be built based on the expected revenues that will be generated out of an indoor network deployment. The Optimization Module helps to prioritize the coverage based on the applications used. Engineers will be able to cost optimize the network deployment, and improve return on investment by eliminating the cost of unnecessary indoor equipment caused by “over-designing” Trouble-shooting is also made easier by using the output maps to predict areas of poor quality of coverage, and to make accurate assessments on possible origins of technical problems.
The following slides are included as reference material for the Optimal Antenna Placement feature. Thank you for attending this presentation.
With low macro signal present, only one antenna is enough to provide UMTS voice GoS over 90% of the area. 18/05/10
With higher propagation frequency, low interfering macro signL and HSPA GoS, 9 antennas are needed to achieve 7.2 Mbps over 90% of the target area. 18/05/10
With high macro interference (-75 dBm), 18 antennas are needed to achieve 7.2 Mbps over 90% of the target area 18/05/10
Even though propagation frequency is higher (AWS band), LTE achieves higher data throughput with less antennas! 18/05/10