Journal Information
IEEE Wireless Communications
http://www.comsoc.org/wirelessmag
Impact Factor:
4.148
Publisher:
IEEE
ISSN:
1536-1284
Viewed:
3776
Tracked:
3

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IEEE Wireless Communications Magazine deals with all technical and policy issues related to personalization, location-independent communications in all media. Papers highlight such topics as portable telephones, communicating palmtop computers, protocols, messaging, communications, and personalized traffic filtering. It also covers such policy issues as spectrum allocation, industry structure, and technology evolution.
Last updated by Dou Sun in 2016-09-08
Special Issues
Special Issue on Non-Orthogonal Multiple Access for 5G
Submission Date: 2017-02-28

In the 5th generation (5G) of wireless communication systems, hitherto unprecedented requirements such as high spectral efficiency, massive connectivity, and low latency are expected to be satisfied. As a promising technique to address these challenges, non-orthogonal multiple access (NOMA) has been actively investigated in recent years. Unlike conventional orthogonal multiple access (OMA) schemes, the key idea of NOMA is to support multiple users by non-orthogonal resource allocation, and hence introduce a controllable amount of inter-user interferences that can be mitigated with the aid of sophisticated multi-user detectors at the cost of increased receiver complexity. Recently, various novel NOMA schemes have been extensively investigated for 5G, such as power-domain NOMA, code-domain NOMA including multiple access solutions relying on low-density spreading, sparse code multiple access, lattice partition multiple access, multi-user shared access, as well as pattern division multiple access. Moreover, standardization work on NOMA has been started in 3GPP under the name multi-user superposition transmission (MUST). The NOMA principle has also been recently standardized by the next generation digital TV standard ATSC 3.0 under the term layered division multiplexing (LDM), and related field test results have demonstrated significant gains in spectral efficiency. This special issue aims to not only serve as a collection of new ideas and recent developments addressing the challenges arising in future 5G cellular networks employing NOMA, but also to inspire researchers to contribute to this promising field.
Last updated by Dou Sun in 2017-01-19
Special Issue on Dynamic Spectrum Management for 5G
Submission Date: 2017-03-01

The fifth generation (5G) wireless communication network is currently attracting extensive research interest from both industry and academia. It is widely agreed that in contrast to 4G, 5G should achieve 1000 times system throughput, 10 times spectral efficiency, higher data rates (i.e., the peak data rate of 10 Gb/s and the user experienced rate of 1Gb/s), 25 times average cell throughput, 5 times reduction in E2E latency and 100 times higher connectivity density. Among those requirements, the 1000-fold increase in system capacity becomes the most important and probably the most challenging one for 5G systems. One of the most interesting approaches to fulfil such capacity increase is to dynamically exploit the underutilized allocated bands for cellular and wireless systems (2G/3G/4G). Novel techniques and new enabling technologies are needed to provide the necessary intelligence and adaptation for spectrum sharing and cooperation of multiple wireless networks. Under the so-called ASA/LSA paradigm, environment-aware unlicensed wireless devices can share the spectrum with other licensed networks, without degrading their performance and introducing unmanageable interference on the nodes of other networks. There are two ways for coexisting multiple networks to utilize the available spectrum. First, the primary network, as the owner of the spectrum, makes a decision to share the spectrum with the secondary network, based on a mutual agreement. Second, the secondary network may access the spectrum opportunistically. Recently important advances in a multiplicity of technologies, ranging from adaptive signal processing and spectral estimation techniques to power control and cooperative communications, have rendered this coexistence feasible. While some initial steps toward the implementation of dynamic spectrum management concepts have already been taken, there are still several key challenges that need to be tackled, before the full potential of the dynamic spectrum management can be achieved. This IEEE Wireless Journal special issue will bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to dynamic spectrum management techniques. Topics in focus include, but are not limited to,: Spectrum sensing, management and mobility for dynamic spectrum management Routing Protocol for dynamic spectrum management Cross-layer design for dynamic spectrum management Traffic prediction and allocation strategies for dynamic spectrum allocation Cooperative dynamic spectrum management Shared use of unlicensed spectrum for dynamic spectrum management Random matrix theory and mathematical analysis of dynamic spectrum management System-level modeling for dynamic spectrum management Artificial intelligence for dynamic spectrum management Location-awareness for dynamic spectrum management Experimental demonstrations, tests and performance characterization for dynamic spectrum management Business model for dynamic spectrum management Standardization aspects of dynamic spectrum management Regulatory framework of dynamic spectrum management Economy Theory framework for dynamic spectrum management Live experiments, prototypes and demonstrators of dynamic spectrum management SUBMISSIONS Prospective authors shall prepare submissions in accordance with the rules specified in the Information for Authors of IEEE Wireless Communications guidelines (http://www.comsoc.org/wirelessmag/author-guidelines). Authors shall submit a PDF version of their manuscript to http://mc.manuscriptcentral.com/ieee-wcm. IMPORTANT DATES Submission Deadline: March 1, 2017 Initial Decision: May 15, 2017 Revised Manuscript Due: June 15, 2017 Final Decision: July 1, 2017 Final Manuscript Due: August 1, 2017 Publication: October 2017
Last updated by Dou Sun in 2016-09-24
Special Issue on Wireless Big Data: Technologies and Applications
Submission Date: 2017-05-01

Big data, which are described by the four “”V“” - volume (large datasets), variety (different types of data from myriad sources), velocity (data collected in real time) and value (benefits to various industries), have received considerable attentions in various applications. With the help of advanced wireless technologies, the smart devices, smartphones, smart vehicles, smart homes, smart cities, smart sensors -- a smart world -- have been come to a reality in our daily life and enriched rapidly. Meanwhile, the emerging 5G and Internet-of-Things (IoT) are increasingly producing vast amount and different types of data. Therefore, big data and the technologies related to big data demand multi-disciplinary collaboration and joint efforts from industries, academics and governments to develop new solutions. The emerging wireless technologies for big data has brought us an unprecedented opportunity to study the characteristics of wireless things, to discover new values, and to help us to gain an in-depth understanding of the hidden values. These understandings will greatly benefit the wireless operators, mobile subscribers, commercial companies, and governments. In the study of wireless technologies, big data will be a powerful tool and hot research topic, e.g., wireless signal processing, channel modelling, fog computing/edge caching, and wireless access. As a consequence, we need to find answers to effectively manage and exploit the big data in wireless systems, to build an efficient network architecture for wireless big data, and to support various applications in the future. We organize this special issue in IEEE Wireless Communications Magazine focusing on the theory and applications of wireless big data. This special issue covers two folds: (1) the most recent research results on how wireless technologies support big data; (2) novel solutions on how big data can enhance and optimize wireless communications performance.
Last updated by Dou Sun in 2017-01-19
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