Resource Allocation in a Cognitive Digital Home
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1 Resource Allocation in a Cognitive Digital Home Tianming Li, Narayan B. Mandayam@ Alex Reznik@InterDigital Inc.
2 Outline Wireless Home Networks A Cognitive Digital Home Joint Channel and Radio Access Technology Allocation Problems Numerical Results Conclusion 2
3 Wireless Home Networks Wireless HD video Streaming Medical Sensor VOIP Gaming Wireless Home Entertainment Networks Wireless Home Automation Networks Wireless web/data Co2 Detector Wireless HDTV Smoke Detector Smart Fridge Smart Meter Occupancy Detector surveillance camera 3
4 Characteristics of Wireless Home Networks Multiplicity of Radio Access Technologies (RAT) License-exempt: Wi-Fi, Zigbee, Bluetooth, 60GHz Radio, TV White Space, Cognitive radio, etc. License-regulated: Wimax, Femto-cell, etc. Noncontiguous spectrum bands From TV white space up to 60GHz radio bands Multiplicity of data services in a home environment Voice over IP, Wireless Gaming, P2P, Video, web/data, etc. Degrees of freedom Frequency Power Bandwidth Choice of Radio Access Technology (RAT) 4
5 A Cognitive Digital Home (CDH): Architecture GENIE NODE Maintains the global spectrum availability information Makes spectrum access decisions 5
6 A Cognitive Digital Home (CDH): Architecture Service Provision Device Provides end services to users Obtains resources from the Genie Node decision 6
7 A Cognitive Digital Home (CDH): Architecture Relay and Wireless Access Devices Provides relay and wireless access service to service provision devices 7
8 A Cognitive Digital Home: Resources Service k (Channel 1) TV White Space Service k and k (Channel i) IEEE b/g Service k ( Channel M-2) Cognitive Radio Technology MHz 100MHz 54MHz 698MHz 2.4GHz 2.5GHz 57GHz 64GHz Resources: A 3-tuple of frequency, bandwidth and RAT All usable spectrum in home environment 8
9 Multi-platform Radio Devices Multiple RATs on a Multi-platform Radio Device Legacy: WiFi, Bluetooth, TV White spaces, etc. Access to limited number of channels in specific spectrum regions Over-crowded spectrum bands Cognitive Radio Accesses a channel orthogonally ---- OFDMA (Noncontiguous) Reduce system complexity and signaling overhead Access to all the channels in a CDH Provide channel access flexibility 9
10 A Framework for Resource Allocation in a CDH TV White Space Database Spectrum Info. Collection Service Requests h a n e C Spectrum Allocation Decision Environmental Spectrum Availability Info. Service s Utility Req. Service s Location Info. Service s Spectrum Sensing Report a p ta d A c a lo A T, A R l Home ID and Geolocation TV Channel Availability ti c ti c a ito le o d u la lo se M A e r, o w P, Genie Node (Spectrum Optimizer) Sensing Devices e tc. Spectrum Utilization Decision Service Provision Device Multi-Platform Radios, Genie Node, Sensing Devices (Not currently considered ) 10
11 Joint Channel and RAT Allocation Problem 1 : Max Sum Rate Individual Rate Constraint for each service Transmit power is only determined by RAT Individual Transmit Power Constraint for each service Spectrum usage constraint 11
12 Joint Channel and RAT Allocation Problem 2 : Max Service Capacity u(.): step function Transmit power is only determined by RAT Individual Transmit Power Constraint for each service Spectrum usage constraint 12
13 Joint Channel and RAT Allocation Problem 3 : Max Min Rate Maxmin Fairness among Elastic Services Transmit power is only determined by RAT Individual Transmit Power Constraint for each service Spectrum usage constraint 13
14 Heuristic Algorithm: Max Sum Rate & Max Service Capacity RAT First Joint Channel and RAT Allocation( RF-JCRA) Stage 1: Minimum Rate Allocation Allocate resources to meet services minimum required rates Stage 2: Marginal Rate Allocation Allocate marginal resources to maximize the sum rates 14
15 Stage 1: Min. Rate Allocation Heuristic based on multiple choice knapsack problem Sort Services according to increasing Average Rx Signal Quality For current service, check feasibility of best channel with least Tx power RAT YES NO Go to next Service Check feasibility in ascending order of RAT Tx Power YES NO Assign RAT with max. Tx power Proceed to next best Channel 15
16 Stage 2: Marginal Rate Allocation Solution Refinement based on local search in mixedinteger programming improve an identified feasible solution Marginal Resource Allocation Water-filling Stage 1 Solution Refinement (local search) If a service occupies a channel orthogonally, use the best RAT Not violating others minimum rate req. Marginal Resoure Allocation Water-filling Allocate marginal resources to service with the best channel and RAT pair Not violating others minimum rate req. 16
17 Numerical Result: Setup Channels: CH. # Freq.(GHz) Bandwidth(MHz) Wi-Fi operates on the first 4 channels CR operates on all the channels RATs employs constant transmit power on each channel RAT Bluetooth Wi-Fi CR Power(mW)
18 Numerical Result 1: (An exemplary CDH) 4 services, A (gaming controlling), B (Wireless Internet), C (gaming video) and D(Wireless HDTV) Constraints Service Gaming Controlling( A) Wireless Internet (B) Gaming Video (C) Rate Req. (Mbps) Wireless HDTV(D) Max. Device Transmit Power(Mw) Accessible Channels 1~4 1~4 1~7 1~7 Link length (m) Results CH. & RAT 1~4(BT) 1(WiFi) 1,2(WiFi) 2~4(WiFi), 5~7(CR) Achieved Rates (Mbps)
19 Numerical Result 2: Max Sum Rate Optimal: RF-JCRA: Average Received SNR Power Constraint # of services # of channels # of RATs RAT: CR and Wi-Fi Link Distances: Uniformly generated in 5~10m Service Power Constraints vector: [ ] mw Rate Constraints: 15Mbps for each service 19
20 Numerical Result 3: Max Service Capacity 20
21 Conclusion Proposed a novel framework for resource allocation in wireless home networks: CDH Radio access technology as a new dimension of allocation Proposed efficient algorithms for 3 joint channel and RAT allocation problems in CDH Future work: Decentralized algorithms 21
22 Q&A 22
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