Abstract
This paper considers a wireless cooperative network with a base station (central unit) and many subscribers (users) in which the subscribers have the ability to relay information for each other to improve the overall network performance. In future wireless communication networks where subscribers are intellectual and pursue various objectives, they will not help relay information for others. This means that the viability of cooperative communication networks largely depends on the willingness of users to help. The reputation based schemes solved this problem by stimulating the users to cooperate with others. Besides, the average achievable rate at the destination node in a relay based network highly depends on the relay node location. Therefore, for a relay selection scheme, the choices of relay location, and the reputation of each user as well as signal-to-noise ratio, which is the main criterion for relay selection schemes, are important selection parameters. This paper proposes a novel multiple criteria relay selection scheme with a low implementation complexity. The proposed scheme incorporates reputation, SNR and location of the users in a highest-level design that not only selects the best relay node for each source-destination pair, but also assigns weight efficiently for each criterion. A simple and efficient optimization tool based on multiple criteria decision making method is employed to solve our formulated problem. In addition, a novel information theoretic measure, which effectively measures dissimilarity between candidate relay nodes and ideal solutions, is also investigated. Since the proposed scheme determines the potential relay nodes in order of their superiority based on the predetermined criteria, it can be utilized in multiple relay selection schemes in wireless relay networks and also in the indirect reciprocity game methods. Finally, the numerical results are provided to illustrate the comparisons between different typical experiments. To best of our knowledge, no prior work has studied the process of relay selection from this point of view.
Similar content being viewed by others
References
Aggarwal, V., Bennatan, A., & Calderbank, A. R. (2009). On maximizing coverage in gaussian relay channels. IEEE Trasaction on Information Theory, 55(6), 2518–2536.
Amarasuriya, G., Tellambura, C., & Ardakani, M. (2012). Joint relay and antenna selection for dual-hop amplify-and-forward mimo relay networks. IEEE Transaction on Wireless Communications, 11(2), 493–499.
Cai, J., Shen, X., Mark, J., & Alfa, A. (2008). Semi-distributed user relaying algorithm for amplify-and-forward wireless relay networks. IEEE Transaction on Wireless Communications, 7(4), 1348–1357.
Chong, P., Adachi, F., Hamalainen, S., & Leung, V. (2007). Technologies in multihop cellular network. IEEE Communication Magazine, 45(9), 64–65.
Cui, H., Zhang, R., Song, L., & Jiao, B. (2013). Relay selection for bidirectional AF relay network with outdated CSI. IEEE Transactions on Vehicular Technology, 62(9), 4357–4365.
Ding, H., Ge, J., & Jiang, Z. (2010). Asymptotic performance analysis of amplify-and-forward with partial relay selection in Rician fading. Electronics Letters, 46(3), 263–264.
Fareed, M. M., & Uysal, M. (2009). On relay selection for decode-and-forward relaying. IEEE Transaction on Wireless Communications, 8(7), 3341–3346.
Gao, Y., Chen, Y., & Ray Liu, K. J. (2012). Cooperation stimulation for multiuser cooperative communication using indirect reciprocity game. IEEE Transactions on Communications, 60(12), 3650–3661.
Hatamian, M., Barati, H., Movaghar, A., & Naghizadeh, A. (2016) CGC: centralized genetic-based clustering protocol for wireless sensor networks using onion approach. Telecommunication Systems, 62(4), 657–674
Ibrahim, A., Sadek, A., Su, W., & Ray, L. K. (2008). Cooperative communications with relay-selection: When to cooperate and whom to cooperate with? IEEE Transaction on Wireless Communications, 7(7), 2814–2827.
Lee, S., Han, M., Yu, T., & Hong, D. (2009). Average SNR and ergodic capacity analysis for opportunistic DF relaying with outage over Rayleigh fading channels. IEEE Trasaction on Wireless Communications, 8(6), 2807–2812.
Moualeu, J. M., Hamouda, W., & Takawira, F. (2014). Relay selection for coded cooperative networks with outdated CSI over Nakagami-m fading channels. IEEE Transactions on Wireless Communications, 13(5), 2362–2373.
Naghizadeh, A., Razeghi, B., Meamari, E., Hatamian, M., Atani, R. E. (2016). C-trust: A trust management system to improve fairness on circular P2P networks. Peer-to-Peer Networking and Applications, 9(6), 1128–1144.
Ng, C. T. K., & Foschini, G. J. (2011). Transmit signal and bandwidth optimization in multiple-antenna relay channels. IEEE Trasaction on Communications, 59(11), 2987–2992.
Ng, T., & Tu, W. (2007). Joint optimization of relay strategies and resource allocations in cooperative cellular networks. IEEE Journal on Selected Areas in Communications, 25(2), 328–339.
Ni, W., Shen, G., Jin, S., Fahldieck, T., & Muenzner. R. (2006). Cooperative relay in IEEE 802.16j mmr. Alcatel, Shanghai, China, Tech Rep IEEEC80216j-06_006r1.
Okati, N., Razeghi, B., Mosavi, M. R. (2015). On relay selection to maximize coverage region for cooperative cellular networks with multiple fixed and unfixed relays. In 6th International conference on computing, communication and networking technologies (pp. 1–6). Denton, USA, July 2015.
Pabst, R. (2004). Relay-based deployment concepts for wireless and mobile broadband radio. IEEE Communication Magazine, 42(9), 80–89.
Principe, J. C. (2010). Information theoretic learning: Renyi’s entropy and kernel perspectives. New York: Springer.
Razeghi, B., Abed Hodtani, G., & Seyedin, S.A. (Sep. 2014a). Coverage region analysis for MIMO amplify-and-forward relay channel with the source to destination link. In Proceedings of the 7th international symposium on telecommunications (IST), Tehran, Iran, pp. 1133–1137.
Razeghi, B., Abed Hodtani, G., & Seyedin, S.A. (Sep. 2014b). On the coverage region of mimo two-hop amplify-and-forward relay network. In Proceedings of the 7th international symposium on telecommunications (IST), Tehran, Iran, pp. 1035–1039.
Razeghi, B., Alizadeh, A., Naseri, S., Abed Hodtani, G., & Seyedin, S.A. (Aug. 2014). Analysis of coverage region for MIMO relay network with multiple cooperative DF-Relays. In Proceedings of IEEE 11th international symposium on wireless communication systems (ISWCS), Barcelona, Spain, pp. 297–302.
Razeghi, B., Hatamian, M., Naghizadeh, A., Sabeti, S., Abed Hodtani, G. (April, 2015). A novel relay selection scheme for multi-user cooperation communications using fuzzy logic. In Proc. IEEE 12th International Conference on Networking, Sensing and Control (ICNSC). Taipei, Taiwan
Razeghi, B., Okati, N., & Abed Hodtani, G. (2015). A novel multi-criteria relay selection scheme in cooperation communication networks. In Proceedings of the 49th annual conference on information sciences and systems (CISS), Baltimore, Maryland, pp. 1–4.
Razeghi, B., Okati, N., & Abed Hodtani, G. (May 2015). A novel approach to mathematical multiple criteria decision making methods based on information theoretic measures. In Proceedings of the 3rd Iran workshop on communication and information theory (IWCIT), Tehran, Iran.
Michalopoulos, D. S., Suraweera, H. A., Karagiannidis, G. K., & Schober, R. (2012). Amplify-and-forward relay selection with outdated channel estimates. IEEE Transaction on Communications, 60(5), 1278–1290.
Sendonaris, A., Erkip, E., & Aazhang, B. (2003a). User cooperation diversity-part I: System description. IEEE Transaction on Communications, 51(11), 1927–1938.
Sendonaris, A., Erkip, E., & Aazhang, B. (2003b). User cooperation diversity-part II: Implementation aspects and performance analysis. IEEE Transaction on Communications, 51(11), 1939–1948.
Sreng, V., Yanikomeroglu, H., & Falconer, D. (2003). Relay selection strategies in cellular networks with peer-to-peer relaying. In Proceedings of the IEEE 58th vehicular technology conference (VTC-Fall), pp. 1949–1953.
Suraweera, H. A., Michalopoulos, D. S., & Karagiannidis, G. K. (2009). Semiblind amplify-and-forward with partial relay selection. Electronics Letters, 45(6), 317–318.
Torabi, M., & Haccoun, D. (2010). Capacity analysis of opportunistic relaying in cooperative systems with outdated channel information. Communications Letter, 14(12), 1137–1139.
Tzeng, G. H., & Huang, J. J. (2011). Multiple attribute decision making, methods and applications. Boca Raton: CRC Press.
Vicario, J. L., Bel, A., Lopez-Salcedo, J. A., & Seco, G. (2009). Opportunistic relay selection with outdated CSI: Outage probability and diversity analysis. IEEE Trasaction on Wireless Communications, 8(6), 2872–2876.
Yu, M., & Li, J. (2005). Is amplify-and-forward practically better than decode-and-forward or vice versa? In Proceedings of the IEEE international conference on acoustics, speech, and signal processing, (ICASSP), pp. 365–368.
Zhong, B., Zhang, Z., Zhang, X., Wang, J., & Long, K. (2013). Partial relay selection with fixed-gain relays and outdated CSI in underlay cognitive networks. IEEE Transactions on Vehicular Technology, 62(9), 4696–4701.
Author information
Authors and Affiliations
Corresponding author
Additional information
A part of the material in this paper has been published in the 49th Annual Conference on Information Sciences and Systems (CISS), Baltimore, Maryland, March 2015 [24].
Rights and permissions
About this article
Cite this article
Razeghi, B., Hodtani, G.A. & Nikazad, T. Multiple Criteria Relay Selection Scheme in Cooperative Communication Networks. Wireless Pers Commun 96, 2539–2561 (2017). https://doi.org/10.1007/s11277-017-4311-3
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-017-4311-3