Wireless Communications and Mobile Computing
© John Wiley & Sons Ltd
Edited By: Mohsen Guizani
Impact Factor: 0.922
ISI Journal Citation Reports © Ranking: 2015: 49/82 (Telecommunications); 93/143 (Computer Science Information Systems); 162/255 (Engineering Electrical & Electronic)
Online ISSN: 1530-8677
Wireless Communications and Mobile Computing is part of an exciting new pilot partnership between Wiley and Hindawi. From 1st January 2017, the journal will become fully open access. Wireless Communications and Mobile Computing will remain a Wiley title but will be published and hosted by Hindawi, and will benefit from Hindawi’s experience and expertise in publishing open access titles. Wireless Communications and Mobile Computing will continue to undergo a rigorous peer review process ensuring that quality remains high. Manuscripts submitted on or after 16 June 2016 and accepted for publication will be published as open access articles, immediately free to read, download and share. Authors or their funder will be required to pay an Article Publication Charge upon acceptance. For further information, please click here.
Recently Published Articles
- A performance comparison of the SCM and the Onering channel modeling method for MIMO-OFDMA systems
Thu Nga Nguyen and Van Duc Nguyen
Version of Record online: 20 OCT 2016 | DOI: 10.1002/wcm.2730
This paper compares the spatial channel model and the Onering channel modeling methods. The spatial, temporal, frequency correlation functions are simulated by using these methods and compared in the same conditions. The simulation and calculation results show that the correlation functions of Onering and SCM channel models are very close to each other if the BS antenna array is perpendicular to the broadside of MS-BS. The performance of these channel modeling methods is compared in system simulation level—MIMO-OFDMA systems by using the combination SFBC-MMSE.
- A novel artificial bee colony detection algorithm for massive MIMO system
Lin Li, Weixiao Meng and Shihao Ju
Version of Record online: 20 OCT 2016 | DOI: 10.1002/wcm.2754
We propose a novel artificial bee colony (ABC) detection algorithm for massive multiple input multiple output (MIMO) system. During finite time of two orders polynomial low computational complexity, it obtains the approximate optimum bit error rate performance of the maximum likelihood with rapid convergence rate and achieves theoretical optimum spectral efficiency with similar increasing regularity at low required average received signal-to-noise ratio. The proposed ABC detection algorithm is efficient for massive MIMO system.
- Enhanced uplink multi-users scheduling for future 802.11ax networks: wait-to-pick-as-available enhanced
Btissam Er-Rahmadi, Adlen Ksentini and Djamal-Eddine Meddour
Version of Record online: 18 OCT 2016 | DOI: 10.1002/wcm.2744
Our contribution in this paper is twofold. First, we introduce an analytical model based on semi-Markov Chains to evaluate the performance of a previously proposed scheduler for uplink multi-users transmission. Second, we propose an enhanced version of the scheduler aiming at improving both system and user-oriented performances. Simulation results validate the analytical model in one hand and clearly indicated the gain of both scheduler versions by report to the basic UL-Single User on the other hand.
- Energy-efficient cluster division for multi-cell joint transmission technology
Yun Li, Wen Jia, Bin Cao, Chonggang Wang and Mahmoud Daneshmand
Version of Record online: 11 OCT 2016 | DOI: 10.1002/wcm.2746
This paper presents a semi-dynamic coordinated multi-point cluster division algorithm based on energy efficiency (SCCD-EE) that can effectively adapt to users' interference. The maximal independent set is used to solve the problem of cluster overlapping. Comprehensive evaluations are performed to verify the feasibility of the proposed algorithm in terms of energy efficiency and system capacity, which show that SCCD-EE cannot only improve the quality of service of cell-edge users but also achieve higher network energy efficiency.
- An efficient and generic downlink resource allocation procedure for pre-5G networks
Alexandre Ragaleux, Sébastien Baey and Anne Fladenmuller
Version of Record online: 11 OCT 2016 | DOI: 10.1002/wcm.2735
This paper addresses the downlink resource allocation problem in pre-5G (LTE-B) networks. We show that this problem is part of the most difficult problems, and therefore, we propose a suboptimal approximation algorithm that covers a large variety of objectives. Simulation results show that our algorithm outperforms other existing algorithms in terms of capacity, and remains close to the optimal.