Joint Multicell Beamforming and Client Association in OFDMA Small-Cell Networks
| Autor: | Jongwon Yoon, Sampath Rangarajan, Mohammad A. Khojastepour, Suman Banerjee, Karthikeyan Sundaresan |
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| Rok vydání: | 2016 |
| Předmět: |
Beamforming
WSDMA Computer Networks and Communications Computer science Distributed computing ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 05 social sciences Real-time computing 050801 communication & media studies 020206 networking & telecommunications Throughput Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology WiMAX Scheduling (computing) 0508 media and communications Frequency domain 0202 electrical engineering electronic engineering information engineering Small cell Electrical and Electronic Engineering Software |
| Zdroj: | IEEE Transactions on Mobile Computing. 15:2260-2274 |
| ISSN: | 1536-1233 |
| DOI: | 10.1109/tmc.2015.2496586 |
| Popis: | Small cells form a critical component of next generation cellular networks, where spatial reuse is the key to higher spectral efficiencies. Interference management in the spatial domain through beamforming allows for increased reuse without having to sacrifice resources in the time or frequency domain. Existing beamforming techniques for spatial reuse, being coupled with client scheduling, face a key limitation in practical realization, especially with OFDMA small cells. In this context, we argue that for a practical spatial reuse system with beamforming, it is important to decouple beamforming from client scheduling. Further, we show that jointly addressing client association with beamforming is critical to maximizing the reuse potential of beamforming. Towards our goal, we propose ProBeam – a system for multi-cell beamforming and client association in OFDMA small cell networks. ProBeam incorporates two key components – a low complexity, highly accurate SINR estimation module that helps determine interference dependencies for beamforming between small cells; and an efficient, low complexity joint client association and beam selection algorithm for the small cells that accounts for scheduling at the small cells without being coupled with it. We have prototyped ProBeam on a WiMAX-based network of four small cells. Our evaluations reveal the accuracy of our SINR estimation module to be within 1 dB, and the reuse gains from joint client association and beamforming to be as high as 115 percent over baseline approaches. |
| Databáze: | OpenAIRE |
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