Interference aware resource allocation for hybrid hierarchical wireless networks |
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| Authors: | Preetha Thulasiraman Xuemin Shen |
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| Affiliation: | 1. Institute of Informatics and Telematics, National Research Council (CNR), Italy;2. Department of Information Engineering, University of Pisa, Italy;1. Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China;2. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;1. DISC Laboratory, Institut FEMTO-ST, UMR CNRS, Université de Franche-Comté, France;2. LIRIS Laboratory, UMR CNRS, Université de Lyon, F-69003, France;3. Université Claude Bernard Lyon 1, F-69622, France;1. Department of Electronics & Communication Engineering, Aliah University, Maulana Abul Kalam Azad Bhawan, DD-45, Sector-I, Salt Lake City, Kolkata, 700 064 West Bengal, India;2. G.S. Sanyal School of Telecommunications, Indian Institute of Technology Kharagpur, West Bengal 721 302, India;3. Department of Electronics & Electrical Communication Engineering, Indian Institute of Technology Kharagpur, West Bengal 721 302, India;1. Dept. of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China;2. Towson University, Towson, MD 21252, USA;3. University of Massachusetts Lowell, Lowell, MA 01854, USA |
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| Abstract: | This paper addresses the problem of interference aware resource allocation for OFDMA based hybrid hierarchical wireless networks. We develop two resource allocation algorithms considering the impact of wireless interference constraints using a weighted SINR conflict graph to quantify the interference among the various nodes: (1) interference aware routing using maximum concurrent flow optimization; and (2) rate adaptive joint subcarrier and power allocation algorithm under interference and QoS constraints. We exploit spatial reuse to allocate subcarriers in the network and show that an intelligent reuse of resources can improve throughput while mitigating interference. We provide a sub-optimal heuristic to solve the rate adaptive resource allocation problem. We demonstrate that aggressive spatial reuse and fine tuned-interference modeling garner advantages in terms of throughput, end-to-end delay and power distribution. |
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