Abstract
This paper is based on the idea of partial interference alignment, studies the OBSS (Overlap Basic Service Set) scene that the strong and weak interference coexist, while mainly to strong interference. When only adopting distributed interference alignment for the strong interference region, since distributed interference alignment can only align the interference of strong interference region, if the SNR is relatively large, weak interference can severely limit the system’s channel capacity. For solving this problem, in this paper, weak interference is added to the covariance matrix of distributed interference alignment as a constant in order to eliminate the weak interference while eliminating the strong interference in the iteration, which effectively improves the system’s channel capacity under the condition of partial interference alignment. Then the simulation results show that the algorithm can effectively improve the channel capacity of the system, and greater power attenuation factor, the improved effect is more obvious.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Catreux S, Driessen PF, Greenstein LJ (2000) Simulation results for an interference-limited multiple-input multiple-output cellular system. In: Global telecommunications conference, 2000. GLOBECOM ‘00. IEEE, pp 334–336
Gomadam K, Cadambe VR, Jafar SA (2011) A distributed numerical approach to interference alignment and applications to wireless interference networks. IEEE Trans Inf Theory 57(6):3309–3322
Schreck J, Wunder G, Jung P (2015) Robust iterative interference alignment for cellular networks with limited feedback. IEEE Trans Wirl Commun 14(2):882–894
Santamaria I, Gonzalez O, Heath RW, Peters SW (2010) Maximum sum-rate interference alignment algorithms for MIMO channels. In: Global telecommunications conference (GLOBECOM 2010), Miami FL, pp 1–6
Ben Halima S, Saadani A (2012) A reduced complexity clustering algorithm for the K-user MIMO interference channel. In: 2012 IEEE 13th international workshop on signal processing advances in wireless communications (SPAWC). IEEE, pp 284–288
Rihan M, Elsabrouty M, Muta O, et al (2014). Iterative interference alignment in macrocell-femtocell networks: a cognitive radio approach. In: 2014 11th international symposium on wireless communications systems (ISWCS). IEEE, pp 654–658
Zhang W, Yu Y, Wang C, et al. ()2013 Partial interference alignment for multi-cell and multi-user MIMO downlink transmission. In: 2013 IEEE 78th vehicular technology conference (VTC Fall). IEEE, pp 1–5
Zhang Y, Zhou Z, Li B et al (2015) Partial interference alignment for downlink multi-cell multi-input–multi-output networks. IET Commun 9(6):836–843
Seo J, Yang C, Park G, et al. (2013) Partial interference alignment in heterogeneous networks. In: Military communications conference, MILCOM 2013–2013 IEEE, San Diego, pp 1553–1557
Liu G, Sheng M, Wang X et al (2015) Interference alignment for partially connected downlink MIMO heterogeneous networks. IEEE Trans Commun 63(2):551–564
Zhou R, Lv T, Long W (2012) A distributed iterative interference alignment scheme for K-User MIMO interference channel. In: 2012 8th international conference on wireless communications, networking and mobile computing (WiCOM), Shanghai, pp 1–4
Yang Zhang, Zheng Zhou, Lei Shi, Bin Li (2013) Distributed interference alignment with grassmannian codebook. J Beijing Univ Posts Telecommun 36(4):71–75
Acknowledgments
This work was supported by the 863 Program of China under Grant No. 2015AA01A703, the Fundamental Research Funds for the Central Universities under grant No.2014ZD03-02, NSFC (No. 61571055,61171104), fund of SKL of MMW (No. K201501).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zou, W., Wang, T., Xu, C. (2016). A New Distributed Interference Alignment Technology Scheme Under the Condition of Partial Interference Alignment. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 386. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49831-6_33
Download citation
DOI: https://doi.org/10.1007/978-3-662-49831-6_33
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-49829-3
Online ISBN: 978-3-662-49831-6
eBook Packages: EngineeringEngineering (R0)