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A Novel Node Selection Algorithm in Cooperative Relay Networks with M-PSK Adaptive Modulation
|關鍵字:||Cooperative communications;合作性通訊系統;relay channel;adaptive modulation;decode-and-forward signal;adaptive node selection algorithm;proper complex Gaussian random vector;中繼通道傳輸;適應性調變;解碼-轉送信號;中繼點選擇演算法;完全複變數高斯隨機向量||出版社:||電機工程學系所||引用:|| A. J. Goldsmith and S.-G. Chua, “Variable-rate variable-power MQAM for fading channels,” IEEE Trans. Commun., vol. 45, pp. 1218-1230, Oct. 1997.  W. T. Webb and R. Steele, “Variable rate QAM for mobile radio,” IEEE Trans. Commun., vol. 43, pp. 2223-2230, July 1995.  S. Sampei, S. Komaki, and N. Morinaga, “Adaptive modulation/TDMA scheme for personal multi-media communication systems,” in Proc. IEEE Globecom '94, pp. 989-993.  M. -S. Alouini and A. J. Goldsmith, “Adaptive modulation over Nakagami fading channels,” J. Wireless Commun., vol. 13, no. 1-2, pp. 119-143, May 2000.  Physical Layer Aspects of UTRA High Speed Downlink Packet Access (Release 4), 3GPP TR 25.848 V4.0.0, 2001.  IEEE Standard 802.16 Working Group, IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems, 2002.  J. G. Proakis, Digital Communications. McGraw-Hill, 2002.  I. E. Telatar, “Capacity of multi-antenna gaussian channels,” Europ. Trans. Telecommu., vol. 10, pp. 585-595, Nov./Dec. 1999.  F. Rashid-Farrokhi, A. Lozano, G. J. Foschini, and R. A. Valenzuela, “Spectral efficiency of wireless systems with multiple transmit and receive antennas,” in Proc. IEEE Int. Symp. PIMRC, vol. 1, 2000, pp. 373-377.  T. M. Cover and A. A. El Gamal, “Capacity theorems for the relay channel,” IEEE Trans. Inform. Theory, vol. IT-25, pp. 572-584, September 1979.  A. Nosratinia and A. Hedayat, “Cooperative communication in wireless networks,” IEEE Commun. Mag., vol. 42, no. 10, pp. 74-80, Oct. 2004.  A. Sendonaris, E. Erkip, and B. Aazhang, “User Cooperation Diversity Part I and Part II,” IEEE Trans. Commun., vol. 51, no. 11, Nov. 2003, pp. 1927-48.  E. Yazdian and M. R. Pakravan, “Adaptive modulation technique for cooperative diversity in wireless fading channel,” in Proc. IEEE PIMRC06, Sept. 2006, pp. 1-5.  M. O. Hasna, “On the capacity of cooperative diversity systems with adaptive modulation,” in Proc. IEEE Wireless Opt. Commun. Netw., Dubai, UAE, Mar. 2005, pp. 432-436.  K.-S. Hwang and Y.-C. Ko, “An Efficient Relay Selection Algorithm for Cooperative Networks,” in Proc. IEEE VTC, Baltimore, MD, Sept. 2007, pp. 81-85.  H. Adam, C. Bettstetter, and S. M. Senouci, “Adaptive relay selection in cooperative wireless networks,” in Proc. IEEE PIMRC, Cannes, Fr., Sept. 2008.  Sklar, B., “Defining, Designing, and Evaluating Digital Communication Systems”, IEEE Communications Magazine, pp. 92-101, Nov 1993.  K. Pahlavan and A. H. Levesque, “Wireless Information Networks,” John Wiley & Sons, 2005.  J. W. Craig, “A new, simple, and exact result for calculating the probability of error for two-dimensional signal constellations,” in Proc. IEEE MILCOM, Oct. 1991, pp. 571-575.  V. V. Veeravalli, “On performance analysis for signaling on correlated fading channel,” IEEE Trans. Commun., Nov. 2001, pp. 1879-1883.||摘要:||
Recent research has shown that the cooperative diversity can efficiently combat the fading effects caused by the hostile wireless channels just as the multiple-input multiple-output (MIMO) antenna systems do. Besides, due to the inherent cost and size constraints by many small area wireless networks, e.g. wireless ad hoc networks and wireless sensor networks, in such environments, it would be almost impossible to deploy the antenna array in a mobile node. However, cooperative diversity can provide an economical and viable solution by sharing each mobile node's single-antenna with others to form a virtual antenna array, while it still can maintain significant performance gains similar to MIMO systems. Meanwhile, the adaptive modulation is a proven technique which can significantly increase the spectral efficiency when perfect channel estimation can be achieved, and many wireless standards have adopted it as an implementation option.
It also has been shown that combining these two techniques can greatly raise the system efficiency. Nevertheless, in the multiple nodes cooperative communication networks, the randomness of demodulation process at each relay node makes the task of correctly selecting the forwarding relay nodes very complicated. In view of this problem, a novel adaptive node selection algorithm is proposed for the destination node to effectively select the forwarding relay nodes to help the source node transfer the signals. In this paper, the decode-and-forward (DF) protocol is employed as the cooperative diversity signaling, and the constant-power variable-rate M-ary phase shift keying (M-PSK) is adopted as the adaptive modulation scheme. At the destination node, the maximal-ratio-combining (MRC) method is used to combine all of the signals from diversity branches with the main path transmitted directly from the source node. Because of the random phenomenon of the demodulation process, the outage requirement is used as the baseline in the first stage of the proposed node selection algorithm to choose the maximal transmission rate. Hence the maximal overall system throughput in terms of rate can be achieved. In the meantime, the first candidate forwarding sets of the relay nodes which collectively meet the required outage probability are also been chosen. Then in the second stage, we can further refine the number of the relay nodes among the first candidate forwarding sets by using the following criterion — maximum average rate per node. It will screen out the first candidate sets with the minimum number of the relay nodes. If only one candidate set is left at the end of the second stage, it will be the end of the proposed algorithm. However, if the result of the screening still has more than one set, then the final election among the second candidate sets would be the one which can give the minimum outage probability. In the simulation results, our proposed node selection algorithm can even further improve the spectral efficiency while the deleteriously fading effect induced by the wireless channels can also be effectively removed.
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