Timing and Carrier Synchronization in Wireless Communication Systems: A Survey and Classification of Research in the Last 5 Years

Timing and carrier synchronization is a fundamental requirement for any wireless communication system to work properly. Timing synchronization is the process by which a receiver node determines the correct instants of time at which to sample the incoming signal. Carrier synchronization is the process by which a receiver adapts the frequency and phase of its local carrier oscillator with those of the received signal. In this paper, we survey the literature over the last 5 years (2010–2014) and present a comprehensive literature review and classification of the recent research progress in achieving timing and carrier synchronization in single-input single-output (SISO), multiple-input multiple-output (MIMO), cooperative relaying, and multiuser/multicell interference networks. Considering both single-carrier and multi-carrier communication systems, we survey and categorize the timing and carrier synchronization techniques proposed for the different communication systems focusing on the system model assumptions for synchronization, the synchronization challenges, and the state-of-the-art synchronization solutions and their limitations. Finally, we envision some future research directions

Architectures and Key Technical Challenges for 5G Systems Incorporating Satellites

Satellite Communication systems are a promising solution to extend and complement terrestrial networks in unserved or under-served areas. This aspect is reflected by recent commercial and standardisation endeavours. In particular, 3GPP recently initiated a Study Item for New Radio-based, i.e., 5G, Non-Terrestrial Networks aimed at deploying satellite systems either as a stand-alone solution or as an integration to terrestrial networks in mobile broadband and machine-type communication scenarios. However, typical satellite channel impairments, as large path losses, delays, and Doppler shifts, pose severe challenges to the realisation of a satellite-based NR network. In this paper, based on the architecture options currently being discussed in the standardisation fora, we discuss and assess the impact of the satellite channel characteristics on the physical and Medium Access Control layers, both in terms of transmitted waveforms and procedures for enhanced Mobile BroadBand (eMBB) and NarrowBand-Internet of Things (NB-IoT) applications. The proposed analysis shows that the main technical challenges are related to the PHY/MAC procedures, in particular Random Access (RA), Timing Advance (TA), and Hybrid Automatic Repeat reQuest (HARQ) and, depending on the considered service and architecture, different solutions are proposed.Comment: Submitted to Transactions on Vehicular Technologies, April 201

Develop of CFO in High Mobility Environments for OFDM-DMWT Based Mobile Wireless Applications

An “Orthogonal Frequency division Multiplexing (OFDM)” systems are sensitive to “service Frequency Offset (CFO)” mistakes. OFDM- “Discrete Multi-wavelet remodel (DMWT)” based totally cellular wireless with a sender, a provider Frequency Offset errors turns into similarly tough for cellular applications in view that power postpone outline of the channel may trade quick because of the sporadic start and dying of the channel paths. We discover analytical expressions for channel estimation mistakes inside the existence of CFO mistakes and excessive mobility. We display that the sensitivity of the channel estimator be capable of still be exploited to increase CFO in high mobility environments. A comparative have a look at amongst extraordinary techniques of service frequency offset estimation in OFDM systems is offered. We keep in mind strategies in frequency area are considered, namely; training image approach and Pilot tone technique. Mean square blunders (MSE) is the evaluation criteria used within the look at. Simulation consequences display that the CFO estimation strategies the schooling image technique outperforms the pilot tone approach with the aid of about 2dB. The contrast results are considered at MSE of 10-4 and normalized CFO of 0.2. Keywords— CFO, ICI, BER, SNR, OFDM, DMWT, MSE, Frequency domain. DOI: 10.7176/NCS/10-04 Publication date:July 31st 201

Radar Interference Mitigation for Automated Driving: Exploring Proactive Strategies

Autonomous driving relies on a variety of sensors, especially on radars, which have unique robustness under heavy rain/fog/snow and poor light conditions. With the rapid increase of the amount of radars used on modern vehicles, where most radars operate in the same frequency band, the risk of radar interference becomes a compelling issue. This article analyses automotive radar interference and proposes several new approaches, which combine industrial and academic expertise, toward the path of interference-free autonomous driving