Joint domain based massive access for small packets traffic of uplink wireless channel

The fifth generation (5G) communication scenarios such as the cellular network and the emerging machine type communications will produce massive small packets. To support massive connectivity and avoid signaling overhead caused by the transmission of those small packets, this paper proposes a novel method to improve the transmission efficiency for massive connections of wireless uplink channel. The proposed method combines compressive sensing (CS) with power domain NOMA jointly, especially neither the scheduling nor the centralized power allocation is necessary in the method. Both the analysis and simulation show that the method can support up to two or three times overloading.

[1]  Leysia Palen,et al.  Instant messaging in teen life , 2002, CSCW '02.

[2]  Pingzhi Fan,et al.  On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users , 2014, IEEE Signal Processing Letters.

[3]  Hosein Nikopour,et al.  Sparse code multiple access , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[4]  Jing Wang,et al.  Uplink Nonorthogonal Multiple Access in 5G Systems , 2016, IEEE Communications Letters.

[5]  Zhifeng Yuan,et al.  Multi-User Shared Access for Internet of Things , 2016, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).

[6]  Shuangfeng Han,et al.  Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends , 2015, IEEE Communications Magazine.

[7]  Zhengang Pan,et al.  On the Ergodic Capacity of MIMO NOMA Systems , 2015, IEEE Wireless Communications Letters.

[8]  H. Vincent Poor,et al.  A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment , 2015, IEEE Transactions on Wireless Communications.

[9]  Carsten Bockelmann,et al.  Compressive sensing based multi‐user detection for machine‐to‐machine communication , 2013, Trans. Emerg. Telecommun. Technol..

[10]  Wei Yu,et al.  Iterative water-filling for Gaussian vector multiple-access channels , 2001, IEEE Transactions on Information Theory.

[11]  S. Frick,et al.  Compressed Sensing , 2014, Computer Vision, A Reference Guide.

[12]  Zhen Xiao,et al.  Understanding Instant Messaging Traffic Characteristics , 2007, 27th International Conference on Distributed Computing Systems (ICDCS '07).

[13]  Antonia Maria Tulino,et al.  Random Matrix Theory and Wireless Communications , 2004, Found. Trends Commun. Inf. Theory.

[14]  Octavia A. Dobre,et al.  Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges , 2016, IEEE Communications Surveys & Tutorials.

[15]  Kerstin Vogler,et al.  Table Of Integrals Series And Products , 2016 .

[16]  Anass Benjebbour,et al.  Non-Orthogonal Multiple Access (NOMA) for Cellular Future Radio Access , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[17]  Huarui Yin,et al.  Many Access for Small Packets Based on Precoding and Sparsity-Aware Recovery , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[18]  Erik G. Larsson,et al.  Scaling Up MIMO , 2013 .

[19]  Anass Benjebbour,et al.  Concept and practical considerations of non-orthogonal multiple access (NOMA) for future radio access , 2013, 2013 International Symposium on Intelligent Signal Processing and Communication Systems.