PHY2: Access Networks Optimisation
Wednesday, 9 June 2021, 16:00-17:30, Zoom Room
Session Chair: Hirley Alves (Univ. Oulu, Finland)
Su Pyae Sone, Janne Lehtomäki and Zaheer Khan (University of Oulu, Finland); Kenta Umebayashi (Tokyo University of Agriculture and Technology, Japan)
Prediction of wireless network parameters, such as traffic (TU) and channel utilization (CU) data, can help in proactive resource allocation to handle the increasing amount of devices in an enterprise network. In this work, we examined the medium-to-long-scale forecasting of TU and CU data collected from an enterprise network using classical methods, such as Holt-Winters, Seasonal ARIMA (SARIMA), and machine learning methods, such as long short-term memory (LSTM) and gated recurrent unit (GRU). We also improved the performance of conventional LSTM and GRU for time series forecasting by proposing features-like grid training data structure which uses older historical data as features. The wireless network time series pre-processing methods and the verification methods are presented as time series analysis steps. The model hyper-parameters selections process and the comparison of different forecasting models are also provided. This work has proven that physical layer data has more predictive power in time series forecasting aspect with all forecasting models.
Wei Hong (Beijing Xiaomi Mobile Software, China); Xiaoyu Duan, Huihui Gao and Zhongyuan Zhao (Beijing University of Posts and Telecommunications, China)
The content recommendation techniques are designed to guide the user preferences and content popularity. However, the impacts of content caching and placement are not considered in the existing schemes, and thus both the user experience and network performance cannot be guaranteed. To solve this problem, the content transmissions with recommendation in wireless content caching networks are studied. First, a joint transmission and recommendation scheme is proposed in wireless content caching networks, which encourage the users to require the cached content objects to fully explore the potential of content caching. Second, to minimize the cost of recommendation and transmission delay, the management of content recommendation lists and resource allocation are jointly optimized by an iterative algorithm, which can approach a stationary solution with low computation complexity. Finally, the simulation results are provided to evaluate the performance of our proposed algorithm.
Fateme Salehi, Naaser Neda and Mohammad-Hassan Majidi (University of Birjand, Iran); Hamed Ahmadi (University of York, United Kingdom (Great Britain))
In this paper, the performance of a cooperative relaying technique in a non-orthogonal multiple access (NOMA) system is considered in short packet communications with finite blocklength (FBL) codes. We examine the performance of a decode-and-forward (DF) relaying along with selection combining (SC) strategy at the receiver. Our goal is optimal power and blocklength allocation to attain maximum users’ fair throughput in a downlink NOMA (DL-NOMA) system with two users, where the user with a stronger channel (strong user) acts as a relay for the user with a weaker channel (weak user). For this purpose, an optimization problem is formulated and an analytical solution is proposed. Numerical results show that the proposed Cooperative NOMA scheme improves the users’ fair throughput in comparison with the NOMA in the FBL regime.
Mahmoud Hasabelnaby (The University of British Columbia, Canada); Anas Chaaban (University of British Columbia, Canada)
Cloud radio-access networks (C-RAN) have been proposed as an enabling technology for keeping up with the requirements of next-generation wireless networks. Most existing works on C-RAN consider the uplink or the downlink separately. However, designing the uplink and the downlink jointly may bring additional advantages, especially if message source-destination information is taken into account. In this paper, this idea is demonstrated by considering pairwise message exchange between users in a C-RAN. A multi-pair two-way transmission scheme is proposed which targets maximizing the end-to-end user data rates. The achievable rate of this scheme is derived, optimized, and evaluated numerically. Results reveal that significant end-to-end rate improvement can be achieved using the proposed scheme compared to existing schemes.
Claudio Paoloni and Rupa Basu (Lancaster University, United Kingdom (Great Britain)); Marcel Burhenn (HÜBNER GmbH & Co., Germany); Maruf Hossain(Ferdinand-Braun-Institut, Germany); Daniel Huebsch (HÜBNER GmbH & Co., Germany); Viktor Krozer (Goethe University of Frankfurt am Main, Germany); Quang Trung Le (HF Systems Engineering GmbH & Co. KG, Germany); Rosa Letizia(Lancaster University, United Kingdom (Great Britain)); Ernesto Limiti (University of Rome Tor Vergata, Italy); François Magne (WHEN-AB & SARL, France); Marc Marilier (OMMIC, France); Antonio Ramirez (Fibernova Systems, Spain); Jeevan Rao (Lancaster University, United Kingdom (Great Britain)); Giacomo Ulisse(Johann Wolfgang Goethe-Universität, Germany); Borja Vidal (Universidad Politecnica de Valencia, Spain); Hadi Yacob (9 Ferdinand-Braun-Institut, Leibniz-Institut für Höchstfrequenztechnik, Germany)
The European Commission Horizon 2020 ULTRAWAVE “Ultra capacity wireless layer beyond 100 GHz based on millimeter wave” is in the final stage of development. The first ever field test of a D-band point to multipoint wireless system will be performed in a real environment. The ULTRAWAVE wireless system comprises a D-band Transmission Hub to produce a 30 degree sector with 600 m radius with multi gigabit per second data rate and a number of compact D-band terminals. The terminals will be distributed at different distances from the transmission hub to recreate real deployment condition. The paper described the latest update on the development of the ULTRAWAVE systems and field test set up.