A novel antenna allocation technique for green single cell MIMO and MIMO-CoMP downlink transmission |
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| Affiliation: | 1. Electronics Laboratory, Physics Department, University of Patras, Rio Patras 26504, Greece;2. Department of Electrical & Computer Engineering, College of Engineering, University of Sharjah, P.O. 27272, Sharjah, United Arab Emirates;3. Department of Electrical and Computer Engineering, University of Calgary, Alberta T2N 1N4, Canada;1. Department of Electrical and Electronics Engineering, Trakya University, Edirne 22180, Turkey;2. Department of Electrical and Electronics Engineering, Istanbul Sehir University, Istanbul 34662, Turkey;1. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, PR China;2. School of Electronic Science and Applied Physics, Hefei University of Technology, Hefei 230009, PR China;3. Department of Materials Science and Engineering, University of Washington, Seattle, WA 98195, USA;1. Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, China;2. National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan 430074, China;3. Department of Mathematics, Hangzhou Dianzi University, Hangzhou 310018, China |
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| Abstract: | To meet the increasing traffic and energy consumption demands of wireless networks, energy efficiency and energy efficient transmission techniques have become an urgent need for cellular networks. In this work, the problem of base station (BS) power consumption reduction for increased network energy efficiency of downlink TDMA-based transmission is considered. To meet network’s high traffic demand due to high data rates required by large numbers of users, multiple-input multiple-output (MIMO) and coordinated multi-point (CoMP) transmission have been considered. By adopting realistic power consumption models for single cell MIMO and multi-cell MIMO-CoMP networks, enhanced antenna allocation techniques are proposed and their energy efficiency is compared to the conventional power allocation schemes. It is shown that for a target signal to interference plus noise ratio (SINR), the proposed techniques consume less total power compared to traditional schemes, which leads to higher energy efficiency. In addition, for same power level, the symbol error rate (SER) is reduced and system’s sum rate increases, which leads to higher spectral efficiency. |
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| Keywords: | Green cellular network MIMO CoMP Antenna allocation |
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