›› 2013,Vol. 28 ›› Issue (2): 343-356.doi: 10.1007/s11390-013-1335-3

• Special Section on Selected Paper from NPC 2011 • 上一篇    下一篇

面向协作通信的最优中继选择和功率分配

Kun Xie1 (谢鲲), Member, CCF, Jian-Nong Cao2 (曹建农), Senior Member, CCF, IEEE, Member, ACM and Ji-Gang Wen3 (文吉刚)   

  • 收稿日期:2012-01-15 修回日期:2012-07-12 出版日期:2013-03-05 发布日期:2013-03-05

Optimal Relay Assignment and Power Allocation for Cooperative Communications

Kun Xie1 (谢鲲), Member, CCF, Jian-Nong Cao2 (曹建农), Senior Member, CCF, IEEE, Member, ACM and Ji-Gang Wen3 (文吉刚)   

  1. 1 School of Information Science and Engineering, Hunan University, Changsha 410082, China;
    2 Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China;
    3 Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2012-01-15 Revised:2012-07-12 Online:2013-03-05 Published:2013-03-05
  • Supported by:

    The work is supported by the National Basic Research 973 Program of China under Grant No. 2012CB315801, the National Natural Science Foundation of China under Grant Nos. 61133015, 61003305, 61173167, and the Ph.D. Programs Foundation of Ministry of Education of China under Grant No. 20100161120022.

PDF (PC)

3030

无线网络中的协作通信技术可以有效利用空间分集来对抗无线传输衰落, 已得到广泛关注。为了最大化无线协作通信网络中的传输容量, 本文研究联合传输模式选择、中继选择和功率分配的联合优化问题。为了最大化网络容量, 现有的中继选择问题多局限于只存在一个传输节点对的无线网络场景, 因此, 本文所提问题更具挑战性。本文将联合优化问题建模为一个变种的最大化加权匹配问题(VMWMC), 这里的权值定义为依赖功率分配的传输容量函数值。VMWMC是一个non-convex问题, 而且VMWMC问题的复杂性随着中继节点的增加而增加。本文首先证明VMWMC问题具有虚拟的0对偶间隙, 然后基于这个结论, 提出拉格朗日对偶分解的算法求解该问题并降低计算复杂性。仿真实验结果表明, 相比于现有的算法, 本文所提算法可以大大增加网络容量, 而且, 相比于完全搜索的算法, 本文所提算法能获得最优的网络容量的同时还可以大大减少计算量。

Abstract: Cooperative communication for wireless networks has gained a lot of recent interest due to its ability to mitigate fading with exploration of spatial diversity. In this paper, we study a joint optimization problem of jointly considering transmission mode selection, relay assignment and power allocation to maximize the capacity of the network through cooperative wireless communications. This problem is much more challenging than relay assignment considered in literature work which simply targets to maximize the transmission capacity for a single transmission pair. We formulate the problem as a variation of the maximum weight matching problem where the weight is a function over power values which must meet power constraints (VMWMC). Although VMWMC is a non-convex problem whose complexity increases exponentially with the number of relay nodes, we show that the duality gap of VMWMC is virtual zero. Based on this result, we propose a solution using Lagrange dual decomposition to reduce the computation complexity. We do simulations to evaluate the performance of the proposed solution. The results show that our solution can achieve maximum network capacity with much less computation time compared with exhaustive search, and our solution outperforms existing sub-optimal solutions that can only achieve much lower network capacity.

[1] Bletsas A, Khisti A, Reed D P, Lippman A. A simple coope-rative diversity method based on network path selection.IEEE Journal on Selected Areas in Communications, 2006,24(3): 659-672.

[2] Bletsas A, Shin H, Win M Z. Outage optimality of oppor-tunistic amplify-and-forward relaying. IEEE Communica-tions Letters, 2007, 11(3): 261-263.

[3] Ibrahim A S, Sadek A K, Su W, Liu K J R. Cooperativecommunications with relay-selection: When to cooperate andwhom to cooperate with. IEEE Transactions on WirelessCommunications, 2008, 7(7): 2814-2827.

[4] Zhao Y, Adve R, Lim T J. Improving amplify-and-forwardrelay networks: Optimal power allocation versus selection.IEEE Transactions on Wireless Communications, 2007, 6(8):3114-3123.

[5] Ikki S S, Ahmed M H. Performance of multiple-relay coope-rative diversity systems with best relay selection over rayleighfading channels. EURASIP J. Adv. Signal Process, 2008: 1-7.

[6] HasnaMO, AlouiniMS. Optimal power allocation for relayedtransmissions over rayleigh-fading channels. IEEE Transac-tions on Wireless Communications, 2004, 3(6): 1999-2004.

[7] Host-Madsen A, Zhang J. Capacity bounds and power allo-cation for wireless relay channels. IEEE Transactions on In-formation Theory, 2005, 51(6): 2020-2040.

[8] Lee K, Yener A. Iterative power allocation algorithmsfor amplify/estimate/compress-and-forward multi-band relaychannels. In Proc. the 40th Annual Conference on Informa-tion Sciences and Systems, March 2006, pp.1318-1323.

[9] Wang B, Han Z, Liu K J R. Distributed relay selection andpower control for multiuser cooperative communication net-works using buyer/seller game. In Proc. the 26th INFOCOM2007, May 2007, pp.544-552.

[10] Simic L, Berber S M, Sowerby K W. Partner choice and powerallocation for energy efficient cooperation in wireless sensornetworks. In Proc. ICC 2008, May 2008, pp.4255-4260.

[11] Zhou Z, Zhou S L, Cui J H, Cui S G. Energy-efficient coope-rative communication based on power control and selectivesingle-relay in wireless sensor networks. IEEE Transactionson Wireless Communications, 2008, 7(8): 3066-3078.

[12] Li Y F, Wang P, D N, Zhuang W. A dynamic relay selectionscheme for mobile users in wireless relay networks. In Proc.INFOCOM 2011, April 2011, pp.256-260.

[13] Shi Y, Sharma S, Hou Y T, Kompella S. Optimal relay as-signment for cooperative communications. In Proc. the 9thMobiHoc, May 2008, pp.3-12

[14] Sharma S, Shi Y, Hou Y T, Kompella S. An optimal algo-rithm for relay node assignment in cooperative ad hoc net-works. Transactions on Networking, 2011, 19: 879-892.

[15] Zhang P, Xu Z G, Wang F R, Xie X, Tu L. A relay assign-ment algorithm with interference mitigation for cooperativecommunication. In Proc. WCNC 2009, April 2009, pp.1286-1291.

[16] Yang D J, Fang X, Xue G L. OPRA: Optimal relay assign-ment for capacity maximization in cooperative networks. InProc. ICC 2011, June 2011, pp.1-6.

[17] Yang D J, Xi F, Xue G L. HERA: An optimal relay assignmentscheme for cooperative networks. IEEE Journal on SelectedAreas in Communications, 2012, 30(2): 245-253.

[18] Xu H L, Huang L S, Wang G, Xu T, Liu G. Joint relay assign-ment and power allocation for cooperative communications.Wireless Networks, 2010, 16(8): 2209-2219.

[19] Cai J, Shen X M, Mark J W, Alfa A S. Semi-distributeduser relaying algorithm for amplify-and-forward wireless relaynetworks. IEEE Transactions on Wireless Communications,2008, 7(4): 1348-1357.

[20] Ng T C Y, Yu W. Joint optimization of relay strategies andresource allocations in cooperative cellular networks. IEEEJournal on Selected Areas in Communications, 2007, 25(2):328-339.

[21] Kadloor S, Adve R. Relay selection and power allocation incooperative cellular networks. IEEE Transactions on Wire-less Communications, 2010, 9(5): 1676-1685.

[22] Ma K, Liu Z X, Guan X P. Joint relay selection and power al-location for cooperative cellular networks. Wireless PersonalCommunications, 2012, 64(2): 305-321.

[23] Phan K T, Nguyen D H N, Le-Ngoc T. Joint power allocationand relay selection in cooperative networks. In Proc. the 28thGLOBECOM, November 2009, pp.1-5.

[24] Xu H L, Huang L S, Wang G, Liu G, Huang H. Joint powerallocation and relay assignment for max-min fairness in coope-rative networks. In Proc. 2010 IEEE Symposium on Com-puters and Communications, June 2010, pp.123-126.

[25] Laneman J N, Tse D N C, Wornell G W. Cooperative di-versity in wireless networks: Efficient protocols and outagebehavior. IEEE Transactions on Information Theory, 2004,50(12): 3062-3080.

[26] Kao M Y, Lam T W, Sung W K, Ting H F. A decompositiontheorem for maximum weight bipartite matchings. SIAM J.Computing, 2001, 31(1): 18-26.

[27] Palomar D P, Chiang M. A tutorial on decomposition meth-ods for network utility maximization. IEEE Journal on Se-lected Areas in Communications, 2006, 24(8): 1439-1451.

[28] Chiang M, Zhang S, Hande P. Distributed rate allocation forinelastic 皁ws: Optimization frameworks, optimality condi-tions, and optimal algorithms. In Proc. INFOCOM 2005,March 2005, pp.2679-2690.

[29] Wei Y, Lui R. Dual methods for nonconvex spectrum op-timization of multicarrier systems. IEEE Transactions onCommunications, 2006, 54(7): 1310-1322.

[30] Seong K, Mohseni M, Cioffi J M. Optimal resource alloca-tion for OFDMA downlink systems. In Proc. 2006 IEEEInternational Symposium on Information Theory, July 2006,pp.1394-1398.

[31] Kuhn H W. The Hungarian method for the assignment prob-lem. Naval Research Logistics Quarterly, 1955, 2(1/2): 83-97.

[32] Munkres J. Algorithms for the assignment and transportationproblems. Journal of the Society for Industrial and AppliedMathematics, 1957, 5(1): 32-38.

[33] Yu W, Cioffi J M. Sum capacity of Gaussian vector broadcastchannels. IEEE Transactions on Information Theory, 2004,50(9): 1875-1892.
No related articles found!
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] . 人胶质母细胞瘤细胞中生长因子信号激活由磷酸肌醇-3-激酶(PI3K)和细胞外信号调控激酶(ERK)传导的转录调控网络[J]. , 2005, 20(4): 439 -445 .
[2] . 暂缺[J]. , 2006, 21(5): 674 -681 .
[3] . 前沿的计算机应有科学：纳米电子混合技术[J]. , 2006, 21(6): 871 -886 .
[4] . 无线自组网基于小世界模型的Polylogarithmic时间路由算法[J]. , 2008, 23(3): 327 -342 .
[5] Amin Nikanjam and Adel Rahmani. 利用双变量相关加速贝叶斯优化算法中的结构学习过程[J]. , 2012, 27(5): 1077 -1090 .
[6] Liang-Jun Zang, Cong Cao, Ya-Nan Cao, Yu-Ming Wu, and Cun-Gen Cao. 常识知识获取综述[J]. , 2013, 28(4): 689 -719 .
[7] Cun-Chao Tu, Zhi-Yuan Liu, Mao-Song Sun. 用于用户标签推荐的标签关联模型[J]. , 2015, 30(5): 1063 -1072 .
[8] Wen-Min Li, Xue-Lei Li, Qiao-Yan Wen, Shuo Zhang, Hua Zhang. 混合云系统中面向移动用户基于CP-ABE实现的加密数据灵活访问控制[J]. , 2017, 32(5): 974 -990 .
[9] Tao Xie, Yuanfang Cai, Xuanzhe Liu, Xiaoyin Wang, Mithun P. Acharya, Marcelo d'Amorim, Xiaoxing Ma. Preface[J]. , 2017, 32(6): 1057 -1059 .
[10] Fa-Qiang Sun, Gui-Hai Yan, Xin He, Hua-Wei Li, Yin-He Han. 基于等效资源配置的数据中心效能优化方法研究[J]. , 2018, 33(1): 131 -144 .
版权所有 © 《计算机科学技术学报》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持：support@magtech.com.cn
总访问量：