Mobile edge computing (MEC) emerges recently as a promising solution to relieve resource-limited mobile devices from computation-intensive tasks, which enables devices to offload workloads to nearby MEC servers and improve the quality of computation experience. Nevertheless, by considering an MEC system consisting of multiple mobile users with stochastic task arrivals and wireless channels in this paper, the design of computation offloading policies is challenging to minimize the long-term average computation cost in terms of power consumption and buffering delay. A deep reinforcement learning (DRL) based decentralized dynamic computation offloading strategy is investigated to build a scalable MEC system with limited feedback. Specifically, a continuous action space based DRL approach named deep deterministic policy gradient (DDPG) is adopted to learn efficient computation offloading policies independently at each mobile user. Thus, powers of both local execution and task offloading can be adaptively allocated by the learned policies from each user's local observation of the MEC system. Numerical results are illustrated to demonstrate that efficient policies can be learned at each user, and performance of the proposed DDPG based decentralized strategy outperforms the conventional deep Q-network (DQN) based discrete power control strategy and some other greedy strategies with reduced computation cost. Besides, the power-delay tradeoff is also analyzed for both the DDPG based and DQN based strategies.

LTE in unlicensed spectrum using licensed assisted access LTE (LTE-LAA) is a promising approach to overcome the wireless spectrum scarcity. However, to reap the benefits of LTE-LAA, a fair coexistence mechanism with other incumbent WiFi deployments is required. In this paper, a novel deep learning approach is proposed for modeling the resource allocation problem of LTE-LAA small base stations (SBSs). The proposed approach enables multiple SBSs to proactively perform dynamic channel selection, carrier aggregation, and fractional spectrum access while guaranteeing fairness with existing WiFi networks and other LTE-LAA operators. Adopting a proactive coexistence mechanism enables future delay-tolerant LTE-LAA data demands to be served within a given prediction window ahead of their actual arrival time thus avoiding the underutilization of the unlicensed spectrum during off-peak hours while maximizing the total served LTE-LAA traffic load. To this end, a noncooperative game model is formulated in which SBSs are modeled as Homo Egualis agents that aim at predicting a sequence of future actions and thus achieving long-term equal weighted fairness with WLAN and other LTE-LAA operators over a given time horizon. The proposed deep learning algorithm is then shown to reach a mixed-strategy Nash equilibrium (NE), when it converges. Simulation results using real data traces show that the proposed scheme can yield up to 28% and 11% gains over a conventional reactive approach and a proportional fair coexistence mechanism, respectively. The results also show that the proposed framework prevents WiFi performance degradation for a densely deployed LTE-LAA network.

The surprise arrest of Huawei Technologies Co.'s Chief Financial Officer Meng Wanzhou is about to impact one of the Chinese company's suppliers in Japan. Yaskawa Electric Corp., which supplies industrial robots for Huawei's smartphone and telecom gear factories, saw all orders for its machines put on hold after the arrest, President Hiroshi Ogasawara said in an interview Wednesday. Of Yaskawa's ¥448.5 billion revenue for the fiscal year that ended in February, 23 percent came from China. "My people on the ground in China say that Huawei is turned upside down internally," Ogasawara said. "All kinds of capex (capital expenditure) deals are temporarily on hold as they figure things out."

The future depends on connectivity. From artificial intelligence and self-driving cars to telemedicine and mixed reality to as yet undreamt technologies, all the things we hope will make our lives easier, safer, and healthier will require high-speed, always-on internet connections. The FCC regulates who can use which ranges, or bands, of frequencies to prevent users from interfering with each other's signals. Low-Band Frequencies Bands below 1 GHz traditionally used by broadcast radio and television as well as mobile networks; they easily cover large distances and travel through walls, but those are now so crowded that carriers are turning to the higher range of the spectrum. Mid-Band Spectrum The range of the wireless spectrum from 1 GHz to 6 GHz, used by Bluetooth, Wi-Fi, mobile networks, and many other applications.

The surprise arrest of Huawei Technologies Co.'s Chief Financial Officer Meng Wanzhou is about to impact one of the Chinese company's suppliers in Japan. Yaskawa Electric Corp., which supplies industrial robots for Huawei's smartphone and telecom gear factories, saw all orders for its machines put on hold after the arrest, President Hiroshi Ogasawara said in an interview Wednesday. Of Yaskawa's ¥448.5 billion ($4 billion) in revenue for the fiscal year that ended in February, 23 percent came from China. "My people on the ground in China say that Huawei is turned upside down internally," Ogasawara said. "All kinds of capex deals are temporarily on hold as they figure things out."

A slew of rumours surrounding the Galaxy S10 mean there are few secrets left to reveal about Samsung's highly-anticipated flagship smartphone. One unknown that still remains, however, is the release date and price of the Galaxy S9 successor and its variants. Industry speculation has so far suggested the Mobile World Congress conference in Barcelona on 25 February could be a likely launch date, but a fresh leak claims it could come even sooner. The Galaxy S10 will instead be unveiled at a Samsung event ahead of MWC, with pre-orders beginning from this yet-to-be revealed date. The smartphone will then be released on 8 March 2019.

SHANGHAI – China's ambitious drive to dominate next-generation 5G technology faces a sudden reality check as fears spread that telecom companies like Huawei could be proxies for Beijing's intrusive security apparatus. Fifth-generation mobile communications are the next milestone in the digital revolution, bringing near-instantaneous connectivity and vast data capacity. They will enable the widespread adoption of futuristic technologies such as artificial intelligence and automated cars and factories -- advances China is desperate to lead. With 5G's rollout expected to gain pace in coming years, the race to dominate standards and control security and data traffic underpins much of the current high-tech rivalry between the United States and China, technology experts said. Huawei's status as a leading world supplier of the backbone equipment for telecoms systems -- mostly in developing markets -- gives China an inside track. But analysts say mounting concern over Huawei imperils that lead.

The detention in Canada of Meng Wanzhou, Huawei's CFO and the daughter of its founder, is further inflaming tensions between the US and China. Her arrest is linked to a US extradition request on undisclosed charges, but China says it's a human rights violation and is demanding her swift release. Behind this very public drama is a long-running, behind-the-scenes one centered on western intelligence agencies' fears that Huawei poses a significant threat to global security. Among the spooks' biggest concerns are: The Chinese firm is the world's largest manufacturer of things like base stations and antennae that mobile operators use to run wireless networks. And those networks carry data that's used to help control power grids, financial markets, transport systems, and other parts of countries' vital infrastructure.

Qualcomm's new Snapdragon 855 mobile processor offers a ton of new features that could be potentially enabled on next-generation smartphones--almost too many to list. But we managed to see some of the best in action. After Qualcomm finished announcing the Snapdragon 855, the company opened a pair of demo rooms showing some of the 855's flagship features. Through PCWorld's video team didn't make it to the event, I was able to record video demonstrating some of the new capabilities of the mobile chip, including improved battery life and gaming performance, intelligent audio filtering, and 4K recording with HDR. They all ran on prototype phones with the Snapdragon 855 chip inside. Unfortunately, what we didn't get to see included object identification and replacement, one of the features that taps into the computational aspect of the Snapdragon 855's Spectra image signal process (ISP).

As we hurtle towards 2019, Qualcomm has been busy introducing the world to its latest products that are likely to drive next year's biggest trends. To be clear, there are a lot of highlights here. This is the first mobile processor to support multi-gigabit 5G, and is one of the first chips built on 7-nanometer architecture. The Snapdragon 855 also features (among other things) advances in AI processing and graphics prowess -- let's take a closer look. For all of Qualcomm's talk abut 5G, the 855 is fascinating because it mainly relies on a new, built-in X24 LTE modem, not the Snapdragon X50 5G modem we've heard so much about lately.