Soc Classification level 1© Nokia Siemens NetworksPresentation / Author / Date Enhanced Uplink Carrier Aggregation for LTE-Advanced Femtocells VTC Fall:

Slides:



Advertisements
Similar presentations
Copyright © Chang Gung University. Permission required for reproduction or display. On Femto Deployment Architecture and Macrocell Offloading Benefits.
Advertisements

Performance Analysis Lab,
Submission doc.: IEEE 11-14/0868r0 July 2014 Johan Söder, Ericsson ABSlide 1 UL & DL DSC and TPC MAC simulations Date: Authors:
The role of virtualisation in the dense wireless networks of the future Sokol Kosta CINI.
1 Uplink Resource Allocation in LTE-A Relay Enhanced Cellular Networks Master’s Thesis Seminar Presented by: Anzil Abdul Rasheed Master’s Program – Radio.
Doc.: IEEE /0116r1 SubmissionYakun Sun, et. al. (Marvell)Slide 1 Long-Term SINR Calibration for System Simulation Date: Authors: NameAffiliationsAddressPhone .
LTE Femtocells Cell Edge Detection Based Interference Avoidance
Doc.: IEEE Amin Jafarian, Newracom 1 CCA Regime Evaluation Revisited March 2015 NameAffiliationsAddressPhone Amin
Self-Organizing Coalitions for Conflict Evaluation and Resolution in Femtocells Luis G. U. Garcia, Aalborg University Gustavo W. O. da Costa, Aalborg University.
1 OUTLINE Motivation Distributed Measurements Importance Sampling Results Conclusions.
EE360: Lecture 15 Outline Cellular System Capacity
Doc.: IEEE /0861r0 SubmissionSayantan Choudhury Impact of CCA adaptation on spatial reuse in dense residential scenario Date: Authors:
Doc.: IEEE /1207r1 Submission Imad Jamil (Orange)Slide 1 OBSS reuse mechanism which preserves fairness Date: Authors: September 2014.
Submission doc.: IEEE /0050r0 January 2015 Yu Wang et al., EricssonSlide 1 Modeling components impacting throughput gain from CCAT adjustment.
Doc.: IEEE /1443r0 SubmissionEsa Tuomaala Adapting CCA and Receiver Sensitivity Date: Authors: Slide 1 November 2014.
Doc.: IEEE /1227r3 SubmissionSlide 1 OFDMA Performance Analysis Date: Authors: Tianyu Wu etc. MediaTek Sept 2014 NameAffiliationsAddressPhone .
Submission doc.: IEEE /1452r0 November 2014 Leif Wilhelmsson, EricssonSlide 1 Frequency selective scheduling in OFDMA Date: Authors:
Uplink Power Control in LTE Relay Enhanced Cells Masters Thesis Presentation Department of Communications and Networking Student:Aydin Karaer Supervisor:Prof.
Doc.: IEEE /0107 Jan 2014 SubmissionYonggang Fang et. al. (ZTE) HEW Evaluation Metrics Date: Slide 1 Authors: NameAffiliationAddress .
Supervisor: Prof. Jyri Hämäläinen Instructor: M.Sc Zhong Zheng A part of NETS2020 project Ying Yang
Doc.: IEEE /0116r0 SubmissionYakun Sun, et. Al.Slide 1 Long-Term SINR Calibration for System Simulation Date: Authors: NameAffiliationsAddressPhone .
Doc. No. IEEE hew-r1 Submission July 2013 Klaus Doppler, NokiaSlide 1 Evaluation Criteria and Simulation Scenarios Date: July 16, 2013 Authors:
International Technology Alliance In Network & Information Sciences International Technology Alliance In Network & Information Sciences 1 Cooperative Wireless.
A Comparative Analysis of Spectrum Alternatives for WiMAX Networks with Deployment Scenarios Based on the U.S. 700 MHz Band June 2008 By MWG/AWG.
Doc.: IEEE /1153r0 Submission September 2013 Laurent Cariou (Orange)Slide 1 Simulation scenario proposal Date: Authors:
12. Feb.2010 | Christian Müller Distributed Resource Allocation in OFDMA-Based Relay Networks Christian Müller.
Doc.: IEEE /1081r0 SubmissionSayantan Choudhury HEW Simulation Methodology Date: Sep 16, 2013 Authors: Slide 1.
On Placement and Dynamic Power Control Of Femto Cells in LTE HetNets
1© Nokia Siemens Networks Confidential Realities of LTE Deployment Bill Payne Head of Innovation Team CTO Office.
Optimal Placement of Femto Base Stations in Enterprise Femtocell Networks Adviser: Frank, Yeong - Sung Lin Present by Li Wen Fang.
Doc.: IEEE /0065r0 Submission January 2014 William Carney, SONYSlide 1 Comments on Draft HEW PAR Date: Authors:
Doc.: IEEE /0804r0 Submission July 2015 TG ax Outdoor Enterprise Scenario and DSC Date: Authors: Graham Smith, SR TechnologiesSlide 1.
Doc.: ax Submission July 2014 Slide 1 Proposed Calibration For MAC simulator Date: Authors:
Doc.: IEEE /1207r0 Submission Imad Jamil (Orange)Slide 1 OBSS reuse mechanism which preserves fairness Date: Authors: September 2014.
Doc.: IEEE /0889r0 Submission June 2014 Nihar Jindal, Broadcom Performance Gains from CCA Optimization Date: Authors: Slide 1.
Doc.: IEEE /0523r0 Submission April 2014 Imad Jamil (Orange)Slide 1 MAC simulation results for Dynamic sensitivity control (DSC - CCA adaptation)
[Qualcomm, Ericsson, Nokia Networks, Huawei,…]
Doc.: IEEE r0 Amin Jafarian, Newracom 1 CCA Revisit May 2015 NameAffiliationsAddressPhone Amin
[Qualcomm, Ericsson, Nokia Networks, Huawei,…]
Doc.: IEEE /1110r0 Amin Jafarian, Newracom 1 September 2015 BSS-TXOP NameAffiliationsAddressPhone Amin
Doc.: IEEE /0799r2 Submission June 2014 Nihar Jindal, Broadcom Modifications to Simulation Scenarios and Calibration Process Date:
Performance Evaluation of Mobile Hotspots in Densely Deployed WLAN Environments Presented by Li Wen Fang Personal Indoor and Mobile Radio Communications.
Coexistence in heterogeneous networks Discuss the interference issue
Multiple Frequency Reuse Schemes in the Two-hop IEEE j Wireless Relay Networks with Asymmetrical Topology Weiwei Wang a, Zihua Guo b, Jun Cai c,
1 11 Frequency Reuse Techniques for Attaining both Coverage and High Spectral Efficiency in OFDMA Cellular Systems Zheng Xie and Bernhard Walke RWTH Aachen.
IEEE C80216m-08/630 1 Interference Constraint Power Control Document Number: IEEE C80216m-08/630 Date Submitted: Source: Xiaoyi Wang, Chunye.
Doc.: IEEE / Submission March 2013 Juho Pirskanen, Renesas Mobile CorporationSlide 1 Discussion On Basic Technical Aspects for HEW Date:
Support for Femtocell Document Number: IEEE C802.16m-08/1089 Date Submitted: Source: Guang Han, Hua XuVoice: ,
Submission doc.: IEEE /0108r0 January 11 Slide 1 Evaluation of neighbors impact on channel allocation for dense environment and Video use cases.
Doc.: IEEE /0889r3 Submission June 2014 Nihar Jindal, Broadcom Performance Gains from CCA Optimization Date: Authors: Slide 1.
Downlink Power Control in Co-Channel Macrocell Femtocell Overlay Xiangfang Li (WINLAB), Lijun Qian (Prairie View A&M Univ.), Deepak Kataria (HCL America)
Submission doc.: IEEE /0871r1 Jul Jiyong Pang, et. al. Huawei Further Calibration Results towards Integrated System Level Simulation Date:
Month Year doc: IEEE /xxxxr0
11ax PAR Verification using UL MU-MIMO
R : SRS Enhancements for LTE-A
WF on scenarios and evaluation assumptions for flexible duplex
Evaluation Model for LTE-Advanced
5G Micro Cell Deployment in Coexistence with Fixed Service
Jan Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs) Submission Title: [Proposal for sub-GHz Interference Model] Date.
OFDMA Performance Analysis
Feasibility of Coordinated Transmission for HEW
AP Coordination in EHT Date: Authors: Name Affiliations
doc.: IEEE yy/xxxxr0 Date:
OFDMA Performance Analysis
Discussion on IMT-2020 mMTC and URLLC
Current Status of submission about EUHT
AP Coordination in EHT Date: Authors: Name Affiliations
Consideration on System Level Simulation
Feasibility of Coordinated Transmission for HEW
doc.: IEEE yy/xxxxr0 Date: September, 2019
Presentation transcript:

Soc Classification level 1© Nokia Siemens NetworksPresentation / Author / Date Enhanced Uplink Carrier Aggregation for LTE-Advanced Femtocells VTC Fall: September 6 th 2011 Authors: Luis G. Uzeda Garcia et. al.

Soc Classification level 2© Nokia Siemens NetworksPresentation / Author / Date Outline Motivation : Problem Definition Preliminaries: UL FPC and ACCS Proposed Solution Simulation Assumptions & Results Conclusions

Soc Classification level 3© Nokia Siemens Networks Motivation: Problem Definition UL Carrier Aggregation in Macro Cells: – Possible to schedule UEs on multiple CCs – Problem: single or multiple CCs? – Answer: distinguish between power limited and non-power limited UEs UL Carrier Aggregation in Femto Cells: – Problem: single or multiple? – Fact: power limited UEs are unlikely – Poor answer: always multiple CCs – Better answer: consider CA for ICIC Hua Wang, et al., “Uplink Component Carrier Selection for LTE-Advanced Systems with Carrier Aggregation,” in IEEE ICC, June 2011

Soc Classification level 4© Nokia Siemens Networks Preliminaries: UL Fractional power control Power control formula [TS ]: P [dBm] = min{ P max, P 0 + α*L + 10*log 10 M + Δ mcs + f(Δ i ) } Power control in uplink aims at: – Controlling inter-cell interference – Prolonging UE battery life time – Achieving lower receiver dynamic range Thinking multi-cell: – Uncoordinated femtocell deployments – Close Subscriber Groups – Severe inter-cell interference – Introduce UL FPC information into the CC selection procedure Not considered in this study UL “interfered zones” may differ from UE to UE

Soc Classification level 5© Nokia Siemens NetworksPresentation / Author / Date Preliminaries: ACCS in a nutshell Femto is powered on Select Base CC Traffic Increases Select Supplementary CCs Evaluation based on BIM entries BIM relies on DL measurements! Nice DL simulation results! What about the UL? ACCS Framework Autonomous Component Carrier Selection (ACCS) is a self-organizing and fully distributed interference management concept on a CC level.

Soc Classification level 6© Nokia Siemens NetworksPresentation / Author / Date Proposed Solution (1/2) Apply ACCS ACCS Assumptions BIMs: predict C/I experienced whenever two cells (serving and interferer) use the same CC at the same time with equal transmit Power Spectral Densities UL {1} → {2} ≈ DL {1} ← {2} UL {1} ← {2} ≈ DL {1} → {2} UE 1 UE 2 UE 3 UE 1 UE 2 UE 3 Cell-Specific Equivalent FAP CC-set UE-Specific U Equivalent FAP CC-set U Expected Outcomes

Soc Classification level 7© Nokia Siemens NetworksPresentation / Author / Date Proposed Solution (2/2) “Fixing” BIMs UE (i) is the UE, among the ones served by HeNB {1}, with the largest path loss towards it, in this example UE [B]. This UE is potentially the worst victim of incoming UL interference. UE (j) is the UE responsible for cell’s {1}, i.e. cell’s {2}. This is the UE served by HeNB {2} that potentially is the worst source of UL interference towards HeNB {1} – in this example UE [C]. UE (k) in (5) is the one responsible for cell’s {1}, i.e. the worst source of outgoing uplink interference towards HeNB {2}. In this case, it is UE [B] as well (k=i), but this is not necessarily always true. Either way, this has no impact in terms of signaling since UEs (i,k) are served by the same evaluating cell. Finally, UE (l) is analogous to UE (i), in that, it is the UE with the largest path loss towards its serving cell {2} and hence the worst potential victim of outgoing interference, in our example: UE [D]. Cell-Specific UE-Specific

Soc Classification level 8© Nokia Siemens NetworksPresentation / Author / Date Simulation Assumptions Dual Stripe scenario: Deployment Assumptions Topology: – Three floors (up to 120 Femtos) – Deployment ratio 75% Closed Subscriber Group (CSG) No co-channel Macro layer Antenna configuration: 2x2 Path loss model from R Wall penetration loss: 5/10 dB (inner/outer) walls Uniform distribution of 1 UE and 3UEs per residence (always indoors) Simple full buffer traffic Equal resource packet scheduling ACCS Assumptions 5 Component Carriers Minimum required SINR for primary CC and secondary CC equals 15 and 8 dB, respectively UL FPC Assumptions P 0 =[-50] dBm α = [ , 0.6, 0.8,1.0 ] P TX min = -40 dBm P TX max = 23 dBm

Soc Classification level 9© Nokia Siemens NetworksPresentation / Author / Date Key Performance Indicators UL SINR CC usage/cell and CC usage/UE Average UL Cell TP – Aggregated throughput from all UEs connected to a single cell [Mbps] UL Outage User TP – 5%-percentile of UE throughput [Mbps] Normalized (relative) versions of the two variables: – Baseline performance: Unmodified ACCS

Soc Classification level 10© Nokia Siemens NetworksPresentation / Author / Date Simulation Results: 1 UE/cell UL SINR: Original ACCS versus proposed method. The 0% to 10% outage region is highlighted. The correction is much more relevant for low values of α as the imbalance between DL and UL estimations increases. The share of UEs who have access to at least 2 CCs increases when compared to the original case. That combined with the SINR improvement led to the significant relative gains in outage throughput Imbalance:

Soc Classification level 11© Nokia Siemens NetworksPresentation / Author / Date Perfomance Results: 1 UE/cell and 3 UEs/cell The potential of the proposed scheme, especially in terms of UL 5% outage throughput where relative gains of up to 52% are seen with respect to the original non-FPC-aware ACCS concept. UE specific with 3UEs/cell: the effective CC usage per cell is the set union of the CC usage of its served UEs. Cells reuse CCs more aggressively when compared to UEs.

Soc Classification level 12© Nokia Siemens NetworksPresentation / Author / Date Final Remarks and Conclusions ACCS provides a fully distributed (scalable) and self-adjusting frequency re-use mechanism for the UL as well. Enhanced Uplink Component Carrier Selection Scheme boosts UL performance further. User Specific Uplink Component Carrier Selection allows a “virtual” and controlled reuse-1, thus solving the UL CA problem in Femtocells. Actively tweaking FPC parameters using the proposed framework are suggested for future studies.

Soc Classification level 13© Nokia Siemens Networks Thank You! Questions?

Soc Classification level 14© Nokia Siemens NetworksPresentation / Author / Date Appendix with additional slides

Soc Classification level 15© Nokia Siemens NetworksPresentation / Author / Date Perfomance Results: ACCS 75% ACCS seems to capture the benefits from the ‘best’ frequency reuse cases in terms of both KPIs. Results inline with DL ones. All results are normalized with respect to plain frequency re-use with no power control.

Soc Classification level 16© Nokia Siemens Networks Performance Summary Deployment Ratio Configuration Average cell capacity Outage capacity 25% 1/1 {-60; 0.6} -5% +25% 1/3 {NO PC} -43% +116% ACCS {-60; 1} +18% +235% 75% 1/1 {-60; 0.6} -8% +69% 1/3 {-60; 0.8} -7% +332% ACCS {-60; 0.8} +26% +416% P 0 ≈ -60 dBm and high α values [0.6, 0.8] seem to be the most promising settings.