On Placement and Dynamic Power Control Of Femto Cells in LTE HetNets

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On Placement and Dynamic Power Control Of Femto Cells in LTE HetNets Vanlin Sathya, Arun Ramamurthy and Bheemarjuna Reddy Tamma Networked Wireless Systems Laboratory (NeWS Lab) Dept. of Computer Science and Engineering Indian Institute of Technology (IIT) Hyderabad, India

Outline Motivation LTE HetNet architecture Interference problem in HetNets Proposed optimal placement & power control of LTE Femto cells Performance Results Conclusions & Future work Globecom 2014

Motivation Trend 1 In future video traffic will contribute to 70% of total cellular traffic. So, BW demand is ever increasing! Globecom 2014

Most of traffic is from Indoor users Motivation Trend 2 Most of traffic is from Indoor users Issues in indoors: Poor cellular coverage due to obstructions & high freq. bands So, poor data rates Globecom 2014

Only Macro Base Station UEs in HIZone got good signal (> -1 dB) Indoor UEs: -8 to -9 dB 1. Macro placed at 350m from south west direction, by taking into account path loss due to walls and floors eNodeB @ 350 m away Globecom 2014

Solution: Heterogeneous Networks (HetNets) Small Cells in LTE Dense deployment in enterprises/hotspots Low power nodes Freq. Reuse 1  high spectral efficiency, but need to contain cross-tier co-channel interference Boosts indoor coverage & data rates Open/Closed/Hybrid Access modes We assume resue 1 and Closed access mode in this work Globecom 2014

Cross-tier Interference Problem Example of cross-tier interference between the Macro cell and Small cells located under its coverage area Due to reuse 1, UE outside homes (HIZone) getting interference from Femto Aps. Similarly, UEs inside Femtos can get interfered by macro BS, but not much as signals are quite weak Due to freq. reuse 1, we need to ensure that Femtos do not transmit with high power Globecom 2014

Co-tier Interference Problem Example of co-tier interference between Femtos deployed indoors A B C Femtos: A, B,C Room Serving Signal Interference Signal; Globecom 2014

Scenario: Enterprise building in urban areas Placement issue Arbitrary placement of Femtos leads to co-tier & cross-tier interference Power leakage from Femtos into HIZone Temporal variation in occupancy in HIZone Optimal placement & Dynamic power control at Femtos ensure good SINR for indoor & HIZone outdoor UEs But in a real-world scenario, the Macro users may not always be there in the surroundings of the building, such as at nights. eNodeB Power Leakage from Femtos @ HIZones Globecom 2014

Problem Statement & Work Done Optimal placement of enterprise Femtos (static) Factors in Macro-Femto cross-tier co-channel interference Considers signal attenuation due to walls and floors Minimizes no. of Femtos to be deployed to cover the building Determines optimal locations for placing the Femtos Guarantees certain minimum threshold SINR (-2 dB) for indoor UEs But, all Femtos blast at full power to improve SINR of indoor UEs Dynamic power control of enterprise Femtos in HetNets Considers outdoor UE occupancy in HIZone (Macro gives it to F-GW) Adaptively adjusts tx power of Femtos Guarantees certain minimum threshold SINR (-4 dB) for indoor UEs Guarantees that outdoor HIZone UEs SINR degradation < 2 dB Proposed efficient placement and power control algorithm by solving two Mixed Inter Programming (MIP) problems MinNF: Minimize number of Femtos OptFP: Optimal Femto Power Optimal placement does not factor in outdoor Ues in HIZone, so causes lot of interference to HIZone Ues and degrades their SINR. Effect of Macro UE on indoor Ues in modelled in the system Globecom 2014

Bird-eye view of floor area inside and outside enterprise building considered Outer sub- region number Inner sub- region number HIZone Wall We consider a simplified building of L*W for the placement study. Each room is further logically divided into smaller sub-regions. Assuming uniform transmission power across sub-channels. Within every sub-region, the SINR value is almost constant as it’s very small. Room Globecom 2014

LTE Femto SON Architecture Inner sub-region Wall S1 S1 S1 Femto GW S1 Femto S1 MME eNodeB Building HIZone Globecom 2014

Channel Model and Notations Used Path loss b/w Macro BS and indoor/outdoor UE at a distance of d: Path loss b/w Femto and indoor UE at a distance of d: Channel gain for Macro and Femto are 20 dBi and 2 dBi, respectively Notation Definition 𝑆 𝑖 Set of all inner sub-regions 𝑆 𝑜 Set of all outer sub-regions 𝑊 𝑎 1 if Femto is placed at inner sub-region a, zero otherwise 𝑦 𝑗𝑎 1 if 𝑗 𝑡ℎ inner sub-region of the building is associated with the Femto located at inner sub-region a, zero otherwise 𝑔 𝑗𝑎 Channel gain between inner sub-regions j and a 𝑏 𝑗 1 if user is located at outer sub-region j, 0therwise 𝑀 Set of all Macro BSs 𝑃 𝑎 Normalized transmit power of Femto a, 0 ≤ 𝑃 𝑎 ≤1 Globecom 2014

MinNF MIP Formulation Objective Function: Minimize the total number of Femtos deployed Constraints: Assuming that a sub-region corresponds to an indoor user, it is allowed to associate with only one Femto BS inside the building. Below constraint ensure the sub-region gets connected only when the Femto is placed in the location 𝑤 𝑎 . min 𝑎∈ 𝑆 𝑖 𝑤 𝑎 𝑎∈ 𝑆 𝑖 𝑦 𝑗𝑎 =1 ∀𝑗∈ 𝑆 𝑖 (1) 𝑦 𝑗𝑎 − 𝑤 𝑎 ≤ 0 ∀𝑗,𝑎∈ 𝑆 𝑖 (2) Globecom 2014

MinNF MIP Formulation To ensure good coverage, the SINR of inner sub-regions must be maintained above the predefined threshold SINR, 𝜆 and is given by ( 𝑖𝑛𝑓∗ 1− 𝑦 𝑗𝑎 + 𝑔 𝑗𝑎 𝑃 𝑚𝑎𝑥 𝑤 𝑎 𝑁 𝑜 + 𝑏∈ 𝑆 𝑖 \a 𝑔 𝑗𝑏 𝑃 𝑚𝑎𝑥 𝑤 𝑏 + 𝑒∈𝑀 𝑔 𝑗𝑒 ′ 𝑃 𝑚𝑎𝑥 ≥ λ ∀𝑗,𝑎∈ 𝑆 𝑖 The above equation can be rewritten as, 𝑖𝑛𝑓∗ 1− 𝑦 𝑗𝑎 + 𝑔 𝑗𝑎 𝑃 𝑚𝑎𝑥 𝑤 𝑎 ≥ 𝜆(𝑁 𝑜 + 𝑏∈ 𝑆 𝑖 \a 𝑔 𝑗𝑏 𝑃 𝑚𝑎𝑥 𝑤 𝑏 + 𝑒∈𝑀 𝑔 𝑗𝑒 ′ 𝑃 𝑚𝑎𝑥 ) (3) Inf is a virtually large value 10^6. W/o this, above equation requires all Femtos providing minimum threshold SINR to any given sub-region. But, just a single Femto is necessary to give SINR threshold for a given inner region. So the MIP will always be infeasible. Finally, MinNF MIP is formulated as follows, min 𝑎∈ 𝑆 𝑖 𝑤 𝑎 𝑠.𝑡, 1 , 2 , (3) Globecom 2014

OptFP MIP Formulation The objective is to reduce the Macro UEs SINR degradation by: Optimal Femto power control to maintain SINR Th in each inner sub- region and also maintain the SINR degradation at less than 2 dB in HIZone Determine the Femto to which indoor UEs in any givensub-region have to be associated with The Femto power value is set only when the Femto is placed at the location 𝑤 𝑎 Objective Function: The Femtos can’t operate at the full power as the Macro UEs will experience higher SINR degradation Constraints: max 𝑎∈ 𝑆 𝑖 𝑃 𝑎 𝑃 𝑎 ≤ 𝑊 𝑎 ∀𝑎∈ 𝑆 𝑖 (4) Globecom 2014

OptFP MIP Formulation Each inner sub-region corresponds to an UE, but UE is allowed to associate with only one Femto: To ensure good coverage, the SINR of inner sub-regions must be maintained above the predefined threshold 𝜆 and is given by 𝑎∈ 𝑆 𝑖 𝑦 𝑗𝑎 =1 ∀𝑗∈ 𝑆 𝑖 5 The below constraint ensures the sub-region gets connected only when the Femto is placed in the location 𝑤 𝑎 . 𝑦 𝑗𝑎 − 𝑤 𝑎 ≤ 0 ∀𝑗,𝑎∈ 𝑆 𝑖 (6) 𝑖𝑛𝑓∗ 1− 𝑦 𝑗𝑎 + 𝑔 𝑗𝑎 𝑃 𝑚𝑎𝑥 𝑤 𝑎 ≥ 𝜆(𝑁 𝑜 + 𝑏∈ 𝑆 𝑖 \a 𝑔 𝑗𝑏 𝑃 𝑚𝑎𝑥 𝑤 𝑏 + 𝑒∈𝑀 𝑔 𝑗𝑒 ′ 𝑃 𝑚𝑎𝑥 ) ∀𝑗,𝑎∈ 𝑆 𝑖 (7) Globecom 2014

OptFP MIP Formulation Finally the OptFP MIP is formulated as follows, To minimize the impact of interference on the outdoor UEs, we restrict the SINR degradation at each 𝑆 𝑜 to be < 2 dB (max 𝑒∈𝑀 𝑔 𝑗𝑒 ′ 𝑃 𝑀𝑎𝑐𝑟𝑜 +𝐼𝑛𝑓∗(1− 𝑏 𝑗 )) ( 𝑁 0 + 𝑒∈ 𝑀 ′ 𝑔 𝑗𝑒 ′ 𝑃 𝑀𝑎𝑐𝑟𝑜 + 𝑎∈ 𝑆 𝑖 𝑔 𝑗𝑎 𝑃 𝑚𝑎𝑥 𝑝 𝑎 ) ≥ 𝜁 𝑗 ∀𝑗∈ 𝑆 𝑜 (8) 𝑀 ′ ≡𝑀 \arg max 𝑒∈𝑀 𝑔 𝑗𝑒 ′ 𝑃 𝑀𝑎𝑐𝑟𝑜 , ∀𝑗∈ 𝑆 𝑜 Finally the OptFP MIP is formulated as follows, Outer sub-region j is assumed to be attached to Macro BS 𝑚𝑎𝑥 𝑎∈ 𝑆 𝑖 𝑃 𝑎 𝑆.𝑡 4 , 5 , 6 , 7 , (8) 𝑥 Globecom 2014

SON based Placement and Power Control Algorithm Part1 Inputs: 𝑆 𝑖 𝑎𝑛𝑑 𝑆 𝑜 Run MinNF scheme; Output: Obtain optimal no. of Femto and their co-ordinates Part2 Input: S 𝒖 ⊂ 𝑆 𝑜 , Where 𝑆 𝑢 is the set of outer HIZone sub-regions with Macro UEs While 1 do Occupancy of Macro UEs in 𝑆 𝑜 as given by 𝑆 𝑢 ; IF database contain ( 𝑆 𝑢 ) then Retrieve Femto tx power settings from database; Else Run OptFP scheme; database. Add(); End IF Output: Optimal tx power settings for Femtos Sleep( 𝑡 0 ); { Vary depending on set 𝑆 𝑢 } End While Globecom 2014

Simulation Parameters Values Building Dimensions 48 m X 48 m X 3m Number of Rooms 16 Room Dimensions 12 m X 12 m X 3 m Number of inner sub-regions 144 Number of outer sub-regions 52 Inner sub-region dimension 4 m X 4 m X 3 m Number of Floors 1 Floor and Wall loss 10 dB and 8 dB Femto and Macro Tx Powers 20 dBm and 46 dBm Macro BS height 30 m Mathematical Solver used GAMS Cplex (branch-and-bound framework) LTE System Model MATLAB based 0.1 W & 40 W Globecom 2014

SINR REM plots for MinNF and OptFP SINR = -5 dB SINR = -2 dB HIZone Full Power Femto (MinNF) Power Control Femto (OptFP) eNodeB Globecom 2014

Sub-region association in MinNF and OptFP IF we observe Fig (a) and Fig (b) there are change in Femto serving region due to dynamic Femto power control Because some sub-region cant able to maintain the SINR threshold. Full Power Femto (MinNF) Power Control Femto (OptFP) Globecom 2014

Optimal Femtos Tx Power in Watts Power Reduced on One Side Less Power Power Reduced on One Femto Max Power Globecom 2014

GAMS Running Time Globecom 2014

Summary and Future Work The efficient Femto placement and dynamic power control algorithm dynamically adjusts the transmit power and ensures fair SINR allocation to both indoor and outdoor UEs in LTE HetNets Current works Studying for more complex buildings, with multiple floors Consider Open/Hybrid access modes D2D to serve HIZone UEs Measuring performance using system level simulations in NS-3 Globecom 2014

Acknowledgments This work was funded by the Deity, Govt. of India (Grant No. 13(6)/2010CC&BT) IIT Hyderabad Globecom 2014

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