By István Frigyes, Janos Bito, Péter Bakki
Lectori Salutem! this can be one other e-book – one of the myriads – facing instant communications. The reader can be acutely aware: this subject is absolutely between bestsellers in expertise – bestsellers in know-how itself and that during technical literature. Communications is without doubt one of the prime strategies in details society and mobile/wireless communications is one amongst the (maybe no more than with optics the second one) prime recommendations in communications. improvement of instant communications was once and is basically spec- cular within the final decade of the twentieth and primary decade of the twenty first century. Such subject matters as MIMO, instant networking, defense within the technological box, new enterprise versions within the carrier offering box, a variety of functions within the clients’ facet, to say a couple of merely, have been present process an extraordinary evolution. So it's not impressive that the variety of meetings and the variety of books during this box grows and grows, in an almost unbounded manner.
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Xiang, “On concatenated zigzag codes and their decoding schemes,” IEEE Communications Letters, vol. 8, pp. 54–56, January 2004. 7. N. Nefedov, “Multi-dimensional zigzag codes for high data rate transmission,” in International Symposium on Turbo Codes and Related Topics, pp. 215–218, September 2003. 8. N. Nefedov, “Evaluation of low complexity concatenated codes for high data rate transmission,” in International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 1868–1872, September 2003.
Yeung, “Iterative decoding of multi-dimensional concatenated single parity check codes,” in International Conference on Communications (ICC), pp. 131–135, IEEE, June 1998. 20 G. Bauch and K. Kusume 6. X. Wu, Y. Xue, and H. Xiang, “On concatenated zigzag codes and their decoding schemes,” IEEE Communications Letters, vol. 8, pp. 54–56, January 2004. 7. N. Nefedov, “Multi-dimensional zigzag codes for high data rate transmission,” in International Symposium on Turbo Codes and Related Topics, pp. 215–218, September 2003.
Hence, incorporating user ordering in the user selection process may further enhance the performance in terms of transmit power minimization while maintaining the quality of service to users. However, detailed performance evaluation with various user ordering algorithms is beyond the scope of this study. On the other hand, the base station can adaptively allocate different numbers of spatial modes (or data streams) to users to further enhance system throughput. With antennas, base station can serve up to users in a given time slot by allocating one stream to each user.