A heuristic reduced complexity computing method for multi-cell joint channel estimation in B3G TDD system

  • Authors:

  • Sujian Zhao;Weijun Cheng;Liping Zhu

  • Affiliations:

  • Communication Engineering, Information Engineering, Minzu University of China, Beijing;Communication Engineering, Information Engineering, Minzu University of China, Beijing;Communication Engineering, Information Engineering, Minzu University of China, Beijing

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

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Abstract

For the concerned TD-SCDMA and its LTE cellular mobile radio system introduced in this paper, there are already some useful algorithms concerning multi-user detection to eliminate inter-symbol interference (ISI) and multiple-access interference (MAI). Since only home cell multiple users are included, those algorithms can only combat ISI and MAI between home cell users. Interferences from users of neighbor cells are treated as white noise. When planning network deployment by assigning same frequency band to all cells, which is a merit for TDD system to increase efficiency and capacity, strong inter-cell interferences occur and the overall performance deteriorates rapidly. To solve this problem, we introduce this new multi-cell detection algorithm and show its benefit. Essentially, the complexity of the new algorithm will increase tremendously. So we also give an efficient simplifying method for it to be practical without imposing hard requirement to the original hardware platform. Simulation results also show that the new algorithm is effective and satisfying.