LTE FDD Radio Planning Capacity
Module Objectives
•After completing this module, the participant will be able to:
• Describe basic traffic modelling • Evaluate the cell capacity •Describe the main factors impacting the cell capacity • Review the baseband dimensioning
2
Radio Planning Capacity
• Capacity Dimensioning • Cell Capacity (Throughput) • Baseband Dimensioning
3
The Number of Sites due to Capacity Site Area
Area Size
Subscribers
Subscribers Density
Traffic Model
Subscriber Data Volume in BH
Total Offered Traffic
# Coverage Sites
# Capacity Sites Max
BH = Busy Hour # Sites 4
Site Capacity
The Number of Sites due to Capacity Operator subscriber density depends on: • Population density • Mobile phone penetration • Operator market share The subscriber density & subscriber traffic profile are the main requirements for capacity dimensioning Traffic forecast should be done by analyzing the offered Busy Hour traffic per subscriber for different services in each rollout phase Traffic data: • Voice: • Erlang per subscriber during busy hour of the network • Codec bit rate, Voice activity •Video call : •Erlang per subscriber during busy hour of the network •Service bit rates • NRT data : • Average throughput (kbps) per subscriber during busy hour of the network • Target bit rates
5
Traffic Model -
-
-
Subscriber traffic profile from traffic model The main purpose of traffic model is to describe the average subscriber behaviour during the most loaded day period (the Busy Hour) Example traffic model • The traffic model defines an application mix consisting of 5 services (VoIP, Video, Streaming, Web browsing & FTP) • There are 3 subscriber profiles each one mapped onto an application mix:
-
Voice Dominant
-
Data Dominant
-
Voice/Data
FTP = File Transfer Protocol BHCA = Busy Hour Call Attempts
6
Typical Subscriber’s Profile:
session length or session size
Data Dominant: If customer is mainly interested in a data oriented deployment (data hotspot, wireless xDSL…)
Total Offered Traffic – Example - Number of Subcribers = 10,000 - Average Data Volume per Subscriber per Busy Hour (BH) from the Nokia Traffic Model assuming the data dominant scenario: 10.24 MByte
- The Average Data Rate per Subcriber could be calculated as: = Average Data Volume per Subscriber per BH [bit] / 3600 s = 22.75 Kbps - The Total Offered Traffic could be calculated as:
= Number of Subscribers * Average Data Rate per Subscriber = 10,000 * 22.75 Kbps = 227.5 Mbps
7
Capacity Dimensioning Process – Overview Site Area
Area Size
Subscribers
Subscribers Density
Traffic Model
Subscriber Data Volume in BH
Total Offered Traffic
# Coverage Sites
# Capacity Sites
Max
# Sites 8
Site Capacity
The Number of Sites due to Capacity - Site Capacity • The site capacity could be derived from the cell capacity:
Site capacity = Cell Capacity * Number of Cells per Site • The cell capacity is defined as the overall cell throughput (average cell capacity) • Calculation of an average cell throughput in LTE is based on system level simulations • Details are provided on the next section of this chapter - The number of sites due to capacity:
# Sites due to Capacity = Roundup (Total Offered Traffic / Site Capacity) Example:
• Site Capacity is 10 Mbps • Total Offered Traffic is 100 Mbps
• The number of sites due to capacity is 100 Mbps/ 10Mbps = 10
9
Radio Planning Capacity
• Capacity Dimensioning
• Cell Capacity (Throughput) • Baseband Dimensioning
10
Cell Throughput Calculation Methodology • DL & UL Capacity are calculated based on system level simulations • Algorithm calculates the Average Cell Throughput (capacity) for a single cell
• During the system level simulations effects like UE mobility, slow/ fast fading, scheduling, power control, admission control, handovers have been considered • The basic principle of these simulations is that for a given cell area a certain (evenly distributed) subscriber density is assumed and for each subscriber particular SINR conditions apply which depend on the location of the subscriber in the cell • Capacity Simulations Results: • Calculation of an average cell throughput is based on a method which calculates the spectral efficiency • 4 representative site grids (defined by the Inter-Site Distance (ISD): 500m, 1732m, 3000m, 9000m) have been simulated in dynamic system level environment • UL & DL spectral efficiency figures have been gathered for all available channel bandwidth configurations (1.4MHz, 3MHz, 5 MHz, 10MHz, 15MHz & 20 MHz)
11
Simulation Assumptions Parameter/Feature
UL
DL
Operating Band
2100 MHz
2100 MHz
Transmission power per PRB
Open loop power control; max UE power 23dBm
0.8 W (for every bandwidth configuration)
Antenna Scheme
Number of TX antenna = 1 Number of RX antenna = 2
Number of TX antenna = 1 Number of RX antenna = 2
Hexagonal layout
3 sector layout, 7 sites, 21 cells
3 sector layout, 7 sites, 21 cells
Scheduling
Channel unaware with Round Robin strategy
Channel aware with Proportional Fairness
Mean number of users per sector
10 UEs (ISD = 500m) 30 UEs (ISD = 1732m) 60 UEs (ISD = 3000m) 164 UEs (ISD = 9000m)
10 UEs per sector 210 UEs per area
Number of users per TTI
1 (1.4 MHz) 3 (3 MHz) 7 (5 MHz) 10 (10 MHz) 20 (15 & 20 MHz)
1 (1.4 MHz) 3 (3 MHz) 7 (5 MHz) 10 (10 MHz) 20 (15 & 20 MHz)
UE speed
3Km/h
3Km/h
Traffic model
Full buffer *
Full buffer *
Propagation model
3GPP TR 25.814 (macro cell)
3GPP TR 25.814 (macro cell)
*Full Buffer indicates the cell load is always 100% independent on the number of subscribers in the cell or their position in the cell
12
UL/DL Spectral Efficiency
UL Spectral Efficiency
(Kbps/KHz)
Spectral Efficiency
ISD: Inter-Site Distance
DL Spectral Efficiency
Note: The simulation setup refers to SIMO mode, and focuses on realistic assumptions rather than on an idealized configuration.
13
UL/DL Cell Capacity
UL Average Cell Throughput (C100%)
DL Average Cell Throughput (C100%)
ISD: Inter-Site Distance 14
Cell Throughput Interpolation • In real planning scenarios the Inter Site Distance (ISD) obtained from the Link Budget Calculation is not equal to the ISDs that have been simulated • Therefore, additional interpolation is required to adapt to the results from the Link Budget
• One interpolation example could be seen below:
Purple bars obtained from simulations. Yellow bars have been interpolated based on simulation results.
15
Factors Affecting the Cell Capacity -
-
-
-
16
The LTE Cell Capacity (Throughput) depends on: Cell Range (Pathloss) •
Considered as a variation of the Inter Site Distance (ISD)
•
The effect of larger ISD has been presented in the previous slides
•
The SINR distribution is bad in larger cells which becomes more & more noise limited
Channel Bandwidth (1.4 MHz ... 20 MHz)
•
The best capacity performance can be achieved with wide channel bandwidth due to the maximum frequency diversity gain
•
Small Bandwidth configuration are characterized by high system overhead
Cell Load •
The values presented so far are for 100% cell load
•
The impact of cell load is based on simulation results
LTE Features: •
MIMO (Multiple Input Multiple Output)
•
Scheduling: Proportional Fair or Round Robin
•
UL CAS channel aware scheduling
•
Inter frequency load balancing
•
Carrier Aggregation
•
Increased uplink MCS range
DL
Impact of Cell Range on Cell Capacity
17
Impact of Channel Bandwidth on Cell Capacity LTE maintains high efficiency with bandwidth down to 5 MHz The differences between bandwidths come from frequency scheduling gain and different overheads Spectral Efficiency Relative to 10 MHz
120 % 100 %
-40%
-13%
Downlink Uplink
Reference
80 % 60 % 40 % 20 % 0% 1.4 MHz 18
3 MHz
5 MHz
10 MHz
20 MHz
Impact of Cell Load on Cell Capacity (1/3) • Simulated spectral efficiency (SE) figures are calculated for 100% load in all cells: – Best case from the resource utilization point of view (all resources -PRBs- are utilized) – Worse case from the interference point of view • Additional simulations are available to investigate the impact of the cell load – The simulation scenario is shown in the figure below – The centre cell which is fully loaded all the time is the victim for which the overall cell throughput is measured – Surrounding cells impact the victim by inter-cell interference which depends on the neighbor cell load
19
Impact of Cell Load on Cell Capacity (2/3) - The figure below shows the relation between the victim cell throughput & the neighbour cell load - The victim cell throughput has been normalised to 1 in the figure, the value of 1 meaning 100% neighbor cell load - It has to be noticed that when the neighbour cell load is decreasing the cell throughput is increasing as expected - The most sensitive to interference is the case ISD = 500m
20
Impact of Cell Load on Cell Capacity (3/3) The impact of the cell load on the cell throughput can be summarized by applying scaling factor for different ISDs and different cell load:
The Capacity C considering the Scaling factor is: C = C100% x load x scaling_factor(load) Example: ISD = 500m Cell Load is 50% the Capacity C is: C = C100% * 0,5 * 1.36 = 0.68 C100% C100%: Capacity, when all cells are loaded to 100% 21
ISD: Inter-Site Distance
UE speed impact System level simulations show capacity degradation when UE speed becomes higher. This is mainly caused by limited reporting accuracy; CQI reports get outdated when a mobile is moving faster and faster. When changing from 3km/h to 30km/h scenario, one can observe ~25% capacity degradation. Scenarios for speed higher than 30km/h do not differ too much from 30km/h case (~3…4% degradation; to be neglected).
22
Impact of MIMO on Cell Capacity (1/3) From RL30 Nokia supports 2 transmit antennas at the eNodeB Transmit diversity (Tx diversity) • results in coverage improvement • therefore, it is more suitable to be used at the cell edge Open / Closed Loop Spatial Multiplexing • Spatial multiplexing on the other hand doubles the user data rate
The mechanism of Adaptive MIMO Mode Control assures CQI dependent switching between Transmit Diversity and Spatial Multiplexing (see next slide) The average cell capacity is then determined by: • the ratio of the dual-stream transmissions (how much Tx diversity & how much spatial multiplexing) for one connection in average • The number of users out of total cell users which are using either Tx diversity or spatial multiplexing 23
Impact of MIMO on Cell Capacity (2/3)
Tx Div: Transmit Diversity SM or SpMux: Spatial Multiplexing OL MIMO: Open Loop MIMO SNIR: Signal to Noise + Interference Ratio
24
Simulation Results (Source 4GMAX)
Impact of MIMO on Cell Capacity (3/3) • The highest gain could be seen for smaller ISD (higher SINR values over the cell so higher probability to be dominated by spatial multiplexing) • The lowest gain is for bigger ISD (lower SINR values more likely so the cell is dominated by transmit diversity)
2x2 OL MIMO Mode 3 30% 2x2 CL MIMO Mode 4
24% 20%
16%
15%
15%
10%
500 m
3000 Inter-site distance ISD (m) m Recommended Adaptive MIMO Mode Control Capacity Gain The gain values in % are relative to the original spectral efficiency (without MIMO) 4 ISDs (Inter Site Distances) = 500m, 1732m, 3000m, 9000m 25
1732 m
9000 m
LTE568: DL adaptive closed loop MIMO 4x2 DL cell capacity gain
26
RL60
Impact of Scheduling on Cell Capacity (1/3) • From RL 20 two scheduling strategies for DL FDPS* are supported: • Round Robin RR (default) • Proportional Fair PF (license) • From the average cell throughput point of view there is some gain when Proportional Fair (PF) is used versus Round Robin (RR) • The main reason for the gain is coming from the fact that the SINR distribution in the cell is improved when Proportional Fair is used • The gain is dependent on the number of users that are scheduled together in the same TTI (1ms): the higher the number of scheduled users per TTI the higher the average cell throughput gain when Proportional Fair is in use • 2 examples coming from simulations are shown in the next slides: • 3 scheduled users per TTI • 10 scheduled users per TTI
* FDPS: frequency domain packetscheduling 27
Impact of Scheduling on Cell Capacity (2/3) Case 1: 3 simultaneous Users per TTI
RR PF RR
PF
CDF (Cumulative Distribution Function) of SINR 28
Average Sector Throughput [Mbps]
Impact of Scheduling on Cell Capacity (3/3) Case 2: 10 simultaneous Users per TTI
PF RR
RR
PF
CDF (Cumulative Distribution Function) of SINR 29
Average Sector Throughput [Mbps]
Impact of UL CAS on Cell Capacity
• 2dB gain of CAS versus CUS (10th %-tile) • (used proportional-fair (PF) scheduler differs from CAS RL15/40 but results should be roughly comparable)
30
CUS (RR)
CAS (PF)
LTE46: Channel aware uplink scheduler
Channel aware uplink scheduling gain
31
LTE619: Interference aware scheduler LTE46. Main differences are: LTE46 duplex scheme
TDD/FDD
FDD
scheduling criterion
received signal strength
UE Tx power density
source of scheduling criterion
SRS and Demodulation Reference Signal (PUSCH data transmission)
power headroom report
yes
no (=> easier implementation)
# PUSCH segments
3 segments
n (=> more flexible reuse schemes)
order of UEs inside a segment
deterministic
randomized
SRS need
32
LTE619
3 Sector vs. 6 Sector Capacity LTE 6-sector site solution brings >70% site throughput gain compared to 3-sector
From RL30 also 6 sector sites are supported The single cell capacity decrease by around 6% mainly due to increased inter-cell interference The site capacity is increasing by more than 70% 33
• Intra-eNB Inter-frequency Load Balancing
RL40
Without Load Balancing 100
100 80
Freq2
Cell Load (%)
Cell Load (%)
Freq1 80
60
60
40
40
20
Freq1
Freq2
High Load Thresh
Target Load Thresh
20
0 t0 t1 t2 t3 t4 t5Time t6 t7 t8 t9 t10t11t12
Cell becomes overloaded and some UEs are not allocated resources
0
t0 t1 t2 t3 t4 t5Time t6 t7 t8 t9 t10 t11 t12
New UEs connect to the cell and cell enters Active iFLB state
New UEs connect to the cell
34
With Load Balancing
Incoming UEs switching from Idle to Connected state are offloaded to Freq2
• Inter-eNB Inter-frequency Load Balancing
RL50
LTE1170 is aimed to improve the utilization of resources between inter-frequency cells
100 90 80 70 60 50 40 30 20 10 0
Freq1 Freq2
With LTE 1170 t0
t1
t2
t3
t4
t5
t6 t7 Time
t8
t9 t10 t11 t12
Imbalanced utilization of resources in an eNB resulting in some UEs not scheduled in Freq1
35
Cell Load (%)
Cell Load (%)
• Does not aim to equally distribute between cells but to have cell load below a configurable threshold 100 90 80 70 60 50 40 30 20 10 0
Freq1 Freq2 High Load Thresh Target Load Thresh
t0
t1
t2
t3
t4
t5
t6 t7 Time
t8
t9 t10 t11 t12
Resources are better utilized, resulting in more scheduled UEs
Carrier Aggregation • As far as network dimensioning is concerned three major areas should be considered:
• influence of Carrier Aggregation related load on the cell capacity • baseband load in case of Carrier Aggregation
• link budget calculations for the UE with two carriers • Cell capacity improvement was out of primary focus during feature specification and potential gains in this area will come rather as a "side effect". These gains will come from the improved scheduling flexibility especially for the traffic with highly bursty nature. • Note however that even without CA the DL scheduler is already dealing with resource allocation in highly efficient manner.
36
Carrier Aggregation
RL50
Highlights:
•
LTE 1089 Carrier Aggregation is the flagship RL50 feature that brings into life the LTE Advanced concept (as standardized in 3GPP Rel. 10) in the Nokia product
•
Primary aim of the feature is to boost mean and peak user throughput via sending the user data simultaneously over two carriers
•
37
Maximum achievable peak user throughput could be doubled in contrast to non-CA case
CA capable UE
Carrier 1 Carrier 2
Carrier Aggregation •
•
• • •
RL50
To make the aggregation of carriers possible, regular cell is paired with additional logical cell serving the same site sector.
•
This dependency could be bi-directional – this first cell could play a role of secondary cell as well.
•
Pcell and SCell have to be collocated with each other
PRIMARY CELL SECONDARY CELL
LTE 1089 supports only inter-band carrier aggregation with specific constraints with respect to bands that are allowed to be paired
Only non-GBR data could be sent via secondary cell
CA capable UE
All cells handling CA UEs serve simultaneously also regular, non-CA UEs There is no carrier aggregation in the uplink direction Carrier 1 Carrier 2
38
Carrier Aggregation
39
RL50
RL50
Carrier Aggregation
Figure 106.
40
Carrier aggregation cell capacity requirement
Carrier Aggregation (CA) – RL60 LTE 1332
RL60
embodiment of Carrier Aggregation functionality • RL60Following additional improvements to RL50 CA functionality are available in RL60 LTE1332:
enhancements of CA interworking with other features and functionalities
improvements and extensions related to CA feature as such •
• • • •
41
refinement of handling of the scheduling fairness factor, refinements in RRM algorithms covering handling of transient periods during SCell addition and release, improved handling of SCell lock/shutdown/outage support for 3GPP rel. 10 extensions of PUCCH UL PC algorithm, handling of so called delayed SCell activation,
• •
•
improved cooperation between Carrier Aggregation and DRX functionality, support of simultaneous activation of CA and following features: • LTE72 (4-RX diversity), • LTE568 (DL CL MIMO 4x2), • LTE980 (IRC for 4 RX paths), • LTE1542 (FDD Supercell) improved handling of measurement gaps needed for certain mobility management algorithms in the context of CA.
LTE829: Increased uplink MCS range UL capacity gain for LTE829 “Increased uplink MCS range”
42
RL50
LTE44 – 64QAM in UL
30000 16QAM (MCS20)
25000
16QAM (MCS24)
20000
64QAM (MCS28)
15000 10000 5000
0 0 81 82 84 86 87 88 90 94 98 101 103 107 109 111 118 119 121 130 136 141 145 151 159 163 170 176 184 188 200 208 217 233 253
• Operating band: 2600 MHz • Clutter type: Dense Urban • Duplex mode: TDD • Frame configuration: 1 • Special subframe format: 7 • Transmit power / antenna gain: • UE: 0.25 W / 0 dBi • Antenna configuration: • UL: 1Tx – 2Rx • User throughput requirements: • UL: maximized per MCS • BLER: 10%
Peak UL user throughput Peak UL user throughput [kbps]
General assumptions
RL60
Distance from eNB [m]
43
LTE44 – 64QAM in UL
• Operating band: 2600 MHz • Clutter type: Dense Urban • Inter Site Distance: 500 m • Duplex mode: TDD • Frame configuration: 1 • Special subframe format: 7 • Antenna configuration: • UL: 2Rx MRC • Frequency scheduler: • UL: Channel aware
Average UL cell capacity 7600 Average UL cell capacity [kbps]
General assumptions
RL60
7400 7200 7000
14% 10%
6800
6600 6400 6200 6000 16QAM (MCS20)
44
16QAM (MCS24)
64QAM (MCS28)
Cell Capacity Calculation Example Step 1: To obtain the Spectral Efficiency (SE) figures for specific ISD (Inter-site distance) and channel bandwidth interpolation is needed: SE = interpolate_SE (ISD, channel_bandwidth) Step 2: Calculate the cell throughput (C) from the spectral efficiency (SE) taking into account the cell bandwidth: C = SE x channel_bandwidth
Step 3: MIMO gain is applied in case of 2 TX antennas at eNB C = C x (1 + MIMO_gain(ISD)) Step 4: Spectral efficiency figures have been simulated for 100% load case. It is needed to scale them according to the resource utilization and inter-cell interference level C = C x load x scaling_factor(load) Example for ISD=500m, 10MHz, 2x2 MIMO, 50% load
Step 1: interpolate_SE(500m, 10MHz) = 1.19bps/Hz Step 2: C = 1.19bps/Hz x 10MHz = 11.9Mbps
Step 3: C = 11.9Mbps x (1+20%) = 14.28Mbps Step 4: C = 14.28Mbps x 50% x 1.37 = 9.8Mbps
45
Capacity Calculations •Inputs
System Level Simulation Results
Output (Average DL/ UL Cell Throughput)
46
For adaptive MIMO switching the gains are based on UPRISE evaluations and NSN contribution to 3GPP standardization
Spectral efficiency (bps/Hz/cell) differs between bandwidth configurations due to the impact of the system overhead and scheduling efficiency
Radio Planning Capacity
• Capacity Dimensioning • Cell Capacity (Throughput) • Baseband Dimensioning
47
Baseband Dimensioning Target of Baseband Dimensioning:
48
-
Target of Baseband Dimensioning: Allow to estimate HOW many sites are required taking into account the HW (System Module) Limitations
-
The approach presented so far in this chapter to calculate the number of sites from the capacity point of view (site throughput) only takes into account Physical Layer and/or RRM features into account (e.g. Channel bandwidth, transmit power, scheduler type, etc...)
-
System Module options:
-
FSMF: high capacity system module
-
FSME: high capacity system module
-
FSMD: lower capacity system module
-
Input of the dimensioning:
•
Total Number of subscribers
•
Number of active subscribers (per Site)
•
Share of active subscribers
-
Output of the dimensioning:
•
Number of sites from baseband point of view
FSME works with RL10/20/30/40/50. FSMF works with RL40/50/60 .
Site configuration and cell bandwidth Number of supported cell per SM (assuming 2Tx MIMO and IRC 2Rx) 1,4 MHz
FSMF+FBBA
3 MHz
5 MHz
10 MHz
15 MHz
20 MHz
-
-
6 cells
6 cells
6 cells
6 cells
FSMF
3 cells
3 cells
6 cells
6 cells
3 cells
3 cells
FSME
-
-
6 cells
6cells
3 cells
3 cells
FSMD
-
-
3 cells
3 cells
2 cells
2 cells
Number of supported cell per SM (assuming 4Tx MIMO and 4Rx) 1,4 MHz
49
3 MHz
5 MHz
10 MHz
15 MHz
20 MHz
FSMF+FBBA
-
-
3 cells
3 cells
3 cells
3 cells
FSMF
-
-
3 cells
3 cells
-
-
FSME
-
-
3 cells
3cells
-
-
FSMD
-
-
3 cells
3 cells
-
-
Baseband Dimensioning Input for Dimensioning Active Subscribers • Flexi SM processing power has a strict limitation for the number of active UEs which can be handled* • UE in E-UTRAN RRC_Connected and with DRB (Data Radio Bearer) established but with or without data to be transmitted in the buffer i.e. smartphones with always on applications like IM and mail Share of active Subscribers • Percentage of active subscribers which should be handled by the eNB • Share of Active Subscriber values have been calculated for each of Nokia Traffic Models: – Voice Dominant: 11% – Data Dominant: 40% – Voice & Data Mix: 30% • Typical assumption is 30% Share of Active Subscribers for RL20 dimensioning The term refers to the terminals actively using applications as well as those which do not need to be considered for scheduling; Smartphones with always on applications like internet messaging (IM) or email 50
*Note that in LTE the System Module capabilities depend strictly on the number of the included DSP modules. The 3G specific notation of system module capacity by means of Channel Elements (CEs) is not anymore valid
Baseband Dimensioning Input for Dimensioning Max. number of connected users per cell
51
1,4 MHz
3 MHz
5 MHz
10 MHz
15 MHz
20 MHz
FSMF+FBBA (3 sectors per site)
---
---
480
600
1030
1200
FSMF+FBBA (6 sectors per site)
---
---
480
600
720
840
FSMF (3 sectors per site)
40
120
480
600
720
840
FSMF (6 sectors per site)
---
---
420
420
---
---
FSME (3 sectors per site)
---
---
480
600
720
840
FSME (6 sectors per site)
---
---
420
420
---
---
FSMD (2 sectors per site)
---
---
480
600
720
840
FSMD (3 sectors per site)
---
---
420
420
---
---
Baseband Dimensioning Output of the dimensioning Number of Sites (Baseband) - Number of Sites required based on the number of active users: #Sites =
Subscribers x ShareOfActiveSubscribers #MaxActiveSubscribers x NoOfCellsPerSite
Example: Assume 10000 subscribers in the area, System bandwidth is 20MHz, There are 840 active users per cell with FSMF in RL40, 3 sectors per site, Share of active subscribers is 30% #Sites (Baseband) = (10000*0,3)/(840*3) ≈ 2
The recommended way of baseband dimensioning is to use Share of Active Subscribers parameter from the Traffic Model and the recommended Number of connected users HW limiting factor.
52
Introduction – LTE1644 Multiradio System Module extended LTE configurations with FBBC FSMF
• RL50 LTE1247 feature has introduced support for configurations built on FSMF with one FBBA card only (no possibility of use FBBC or two FBBA). • In RL60 LTE1644 introduces support for configurations built on FSMF either with FBBC or FBBA. • FBBC sub-module has four OBSAI RP3-01 ports, however only one OBSAI RP3-01 connection is used in FBBC card in LTE1644 feature.
53
OR 1 x FBBA
1 x FBBC
Introduction – LTE1508 Multiradio System Module full LTE configurations
• RL60 LTE1508 introduces support for configurations built on FSMF and two submodule cards. • It is possible to use: - Two FBBC module
- One FBBA and one FBBC
AND 2 x FBBC
• It is not possible to use:
or
- Two FBBA module
AND 1 x FBBA
1 x FBBC
NOT POSSIBLE 1 x FBBA 54
1 x FBBA
LTE1508 provides support for following eNB configurations
9 cells configuration at 15/20 MHz 2TX 2RX 18 cells configuration with 18 x RRH (earlier the maximum was 12 cells) at 5/10 MHz 2TX 2RX or: • 3 x 20 MHz and 12 x 10 MHz or • 6 x 20 MHz and 6 x 10 MHz 2TX 2RX or • 3 x 20 MHz 4TX and (6 x 10 MHz or 3 x 20 MHz 2TX) or • 6 x 10 MHz 4TX and (6 x 10 MHz or 3 x 20 MHz 2TX) Mixed mode BTS; 2TX2RX - and 4TX4RX modes used in same BTS. 5 chains with max 4 RRH is same chain (max total number of RRHs is 18)
55
Triple Band BTS: Supported triple band combinations: 850 + 1800 + 2600 (bands 5, 3 and 7) 850 + 2100 + 2600 (bands 5, 1 and 7) 900 + 1800 + 2600 (bands 8, 3 and 7) 900 + 2100 + 1800 (bands 8, 1 and 3) 900 + 2100 + 700APT (bands 8, 1 and 28) 700APT + 1800 + 2600 (bands 28, 3, 7) Asia Pacific + LAM 800EU + 1800 + 2600 (bands 20, 3 and 7) Europe 1700/2100 + 1900 + 850 (4/10, 2 and 5) NAM + LAM 1700/2100 + 1900 + 730/750 (4/10, 2 and 12/13) USA
Total 6 RP3-01 optical interfaces in use for radio modules (4 x RP3-01 interfaces from FSMF and 1+1 x RP3-01 interface from two FBBA/C modules)
LTE 1508 Configurations
New configurations LTE1508 with 2x FBBC (or 1x FBBA + 1x FBBC)
56
Configuration type
Max no of carriers
Max BW [MHz]
Max TXRX configuration
No of supported bands
LTE feature
When introduced
3 cells 2TX2RX & 3 cells 4TX4RX
1+1+1+1+1+1
20 & 20
2TX2RX/ 4TX4RX
Dual Band
LTE1508
RL60
18 cells Triple Band
18 x1
10
2TX2RX
Triple Band
LTE1508
RL60
Example Example value from the Link Budget: • Dense Urban: 41 sites • Rural: 1 site
Example values from Capacity dimensioning: • Dense Urban: 22 sites (DL), 12 sites (UL) -> 22 sites • Rural: 6 sites (DL), 8 sites (UL) -> 8 sites 57
Example
for Dense Urban
for Rural clutter
58