Submission Deadline: 31 May 2019
IEEE Access invites manuscript submissions in the area of Advances in Signal Processing for Non-Orthogonal Multiple Access.
Driven by the continuous growth in the number of mobile devices and rapid development of the Internet-of-Things (IoT), the fifth generation (5G) wireless communication networks anticipate an explosive demand for massive connectivity over limited radio resources. Towards this direction, researchers are motivated to develop new transmission technologies for maximizing the achievable throughput. Among various solutions, non-orthogonal multiple access (NOMA) has been envisioned as a prospective technology to enlarge the number of connections, increase the spectral efficiency, and balance the user fairness. Owing to its promising features, NOMA has been recently deployed in 3GPP Long Term Evolution Advanced (LTE-A) and recognized as a breakthrough technology for 5G wireless networks in both industry and academia.
From the first generation (1G) to the fourth generation (4G), cellular communications have deployed orthogonal multiple access (OMA) technologies to mitigate multiple access interference and enjoy low-complexity signal processing, in which the communication resources allocated to different users are orthogonal in at least one radio resource dimension (e.g., frequency, time, code, etc.). As a result, the number of active users allowed access to the OMA system is strictly limited by the number of available orthogonal resources, which becomes less useful for supporting massive connectivity and achieving user fairness. In contrast to OMA, NOMA simultaneously accommodates a multitude of users with the same radio resource via superposition signaling and employs various transmit or receive signal processing techniques to mitigate the interference. Specifically, by introducing a controllable interference and an acceptable signal processing complexity, NOMA is beneficial to enlarge the number of connections and support high overloading transmission. However, the success of NOMA technologies relies critically on the implementation of advanced signal processing techniques for transceivers, which may introduce large processing delays and increase computation complexity. Thanks to the recent progress of hardware and theory in signal processing and machine learning, large signal processing complexity becomes affordable and processing latency can be significantly reduced, which promote the rapid development of NOMA. Therefore, sophisticated signal processing algorithms for multi-user detection, scheduling, and interference management are indispensable for the successful implementation of NOMA in next-generation wireless systems.
As a novel multiple access technology, NOMA is a promising candidate to achieve high spectral efficiency and massive connectivity for future wireless communications. However, there are still many signal processing problems remaining to be solved to unlock the potential of NOMA technologies for later phases of 5G. This Special Section in IEEE Access aims to capture the state-of-the-art advances in NOMA particularly from the perspective of signal processing and foster new avenues for research in this area.
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Associate Editor: Miaowen Wen, South China University of Technology, China
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IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland
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