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Multicell Cooperation for Next Generation Communication Systems

Edited by: Zander (Zhongding) Lei, Lie-Liang Yang, Charlie Jianzhong Zhang and Jeff Xiangyang Zhuang

  1. In cellular communication systems with frequency reuse factor of one, user terminals (UT) at the cell-edge are prone to intercell interference. Joint processing is one of the coordinated multipoint transmissio...

    Authors: Tilak Rajesh Lakshmana, Carmen Botella and Tommy Svensson
    Citation: EURASIP Journal on Wireless Communications and Networking 2012 2012:182
  2. In this paper, we study three low-complexity random beamforming transmission schemes for dual-cell multiuser multi-input-single-output systems. Among them, selfish random beamforming and interference-aware ran...

    Authors: Jun Zhu and Hong-Chuan Yang
    Citation: EURASIP Journal on Wireless Communications and Networking 2011 2011:191
  3. Network energy efficiency (NEE) is considered as the metric to address the energy efficiency problem in the cooperative multi-cell systems in this article. At first, three typical schemes with different levels...

    Authors: Jie Xu, Ling Qiu and Chengwen Yu
    Citation: EURASIP Journal on Wireless Communications and Networking 2011 2011:165
  4. The necessary and sufficient condition for beamforming optimality for multiple-input multiple output (MIMO) systems with mean feedback has been derived and thoroughly investigated in this article. The conditio...

    Authors: Wen Zhou, Hongyang Chen and Wong Hing Lam
    Citation: EURASIP Journal on Wireless Communications and Networking 2011 2011:160
  5. Multicell joint processing has originated from information-theoretic principles as a means of reaching the fundamental capacity limits of cellular networks. However, global multicell joint decoding is highly c...

    Authors: Symeon Chatzinotas and Björn Ottersten
    Citation: EURASIP Journal on Wireless Communications and Networking 2011 2011:132