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Table Of Integrals Series And Products

The vision of next generation 5G wireless communications lies in providing very high data rates (typically of Gbps order), extremely low latency, manifold increase in base station capacity, and significant improvement in users’ perceived quality of service (QoS), compared to current 4G LTE networks. Ever increasing proliferation of smart devices, introduction of new emerging multimedia applications, together with an exponential rise in wireless data (multimedia) demand and usage is already creating a significant burden on existing cellular networks. 5G wireless systems, with improved data rates, capacity, latency, and QoS are expected to be the panacea of most of the current cellular networks’ problems. In this survey, we make an exhaustive review of wireless evolution toward 5G networks. We first discuss the new architectural changes associated with the radio access network (RAN) design, including air interfaces, smart antennas, cloud and heterogeneous RAN. Subsequently, we make an in-depth survey of underlying novel mm-wave physical layer technologies, encompassing new channel model estimation, directional antenna design, beamforming algorithms, and massive MIMO technologies. Next, the details of MAC layer protocols and multiplexing schemes needed to efficiently support this new physical layer are discussed. We also look into the killer applications, considered as the major driving force behind 5G. In order to understand the improved user experience, we provide highlights of new QoS, QoE, and SON features associated with the 5G evolution. For alleviating the increased network energy consumption and operating expenditure, we make a detail review on energy awareness and cost efficiency. As understanding the current status of 5G implementation is important for its eventual commercialization, we also discuss relevant field trials, drive tests, and simulation experiments. Finally, we point out major existing research issues and identify possible future research directions.

Next Generation 5G Wireless Networks: A Comprehensive Survey

Stable non-Gaussian random processes , by G. Samorodnitsky and M. S. Taqqu. Pp. 632. £49.50. 1994. ISBN 0-412-05171-0 (Chapman and Hall).

In the near future, i.e., beyond 4G, some of the prime objectives or demands that need to be addressed are increased capacity, improved data rate, decreased latency, and better quality of service. To meet these demands, drastic improvements need to be made in cellular network architecture. This paper presents the results of a detailed survey on the fifth generation (5G) cellular network architecture and some of the key emerging technologies that are helpful in improving the architecture and meeting the demands of users. In this detailed survey, the prime focus is on the 5G cellular network architecture, massive multiple input multiple output technology, and device-to-device communication (D2D). Along with this, some of the emerging technologies that are addressed in this paper include interference management, spectrum sharing with cognitive radio, ultra-dense networks, multi-radio access technology association, full duplex radios, millimeter wave solutions for 5G cellular networks, and cloud technologies for 5G radio access networks and software defined networks. In this paper, a general probable 5G cellular network architecture is proposed, which shows that D2D, small cell access points, network cloud, and the Internet of Things can be a part of 5G cellular network architecture. A detailed survey is included regarding current research projects being conducted in different countries by research groups and institutions that are working on 5G technologies.

A Survey of 5G Network: Architecture and Emerging Technologies

Mobile edge computing (MEC) can provide considerable computing capabilities for Internet of Things (IoT) devices, especially for applications with latency sensitive tasks. By applying non-orthogonal multiple access (NOMA) in MEC, multiple users can offload their tasks simultaneously on the same frequency band. In this paper, the minimization problem of task completion time is investigated for the NOMA enabled multi-user MEC networks. We adopt \emph{partial offloading}, in which each user's task can be partitioned, while the formulated problem is quasi-convex. Thus a bisection search (BSS) algorithm is proposed to achieve the minimum task completion time for the multi- user case. To reduce the complexity and evaluate the optimality of the BSS algorithm, we further derive closed- form expressions for the optimal task partition ratio and offloading power for a two-user NOMA-MEC network. Simulations demonstrate the convergence and optimality of the proposed BSS algorithm and the effectiveness of the optimal approach.

Optimal Task Partition and Power Allocation for Mobile Edge Computing with NOMA

This paper proposes an functional architecture supporting wireless mesh networks (WMNs) for IEEE 802.16 standard. Three essential techniques: collision avoiding, packet scheduling and wireless routing are intensively investigated. Based on the mesh extension of IEEE 802.16 medium access control (MAC) layer protocol and the relay-based characteristic of WMNs, the algorithms concerning with those three techniques are briefly reviewed. The suitable algorithms for collision avoiding and packet scheduling mechanisms are analyzed. Meanwhile, the wireless routing algorithm for the proposal architecture is investigated. Especially, the tree level based centralized scheduling for the multi-radio multi-channel with spatial reuse is proposed. The simulation results show that the proposal is efficiency. The future research work is presented and the research problem is focused finally.

A Unified Architecture and the Tree Level Based Scheduling Technique for Multi-radio Multi-channel in IEEE 802.16 Standard Based Wireless Mesh Networks

Wireless cooperative relay is an effcient way in obtaining diversity in distributed manner, and it can also be used as a way in extending the cell coverage in cellular systems. In this paper, assuming receiver channel state information (CSI) only, the ergodic and outage capacity analysis are presented for amplify-and-forward (AF) multiple-input multiple-output(MIMO) relay channels deploying orthogonal space-time block codes (OSTBCs). Under flat Rayleigh fading environment, we derive closed-form analytical expressions for the calculation of the ergodic capacity and outage capacity for both the OSTBC transmission with and without the direct link. Numerical results show that all the derived analytical expressions are very tight and are valid for evaluations of the ergodic and outage capacity under various antenna configurations. The results also show how the number of transmit antennas and receives antennas affect the overall channel capacity under fading channel environments.

Ergodic and Outage Capacity Analysis of Amplify-And-Forward MIMO Relay with OSTBCs

In this paper, channel aware adaptive resource allocation scheme in two-hop wireless relay networks (WRNs) is proposed to achieve maximum system throughput and better delay performance. Both the routing selection and resource scheduling algorithm are designed to accomplish the resource allocation scheme. Considering the network throughput, a routing algorithm is proposed to select the optimal RS based on an optimization problem. A fairly resource scheduling algorithm based on the Signal-to-Noise-Rate (SNR) is provided, which combined both the link and data scheduling. Both the routing and scheduling algorithms are designed with channel state considered. Theoretical analysis and simulation results show our proposed channel aware resource allocation scheme is efficient and can enjoy a good network performance in two-hop WRNs.

Channel Aware Adaptive Resource Allocation in Two-Hop Wireless Relay Networks

In the traditional satellite constellation design, it is hard to find a suitable method to evaluate the user requirements precisely and the existing algorithms result in a high computing cost. In this paper, a method of designing and optimizing the regional satellite constellation is proposed. The user requirements are represented by the the number of users, which is established based on communication markets and population distribution. The design of satellite constellations is a multi-objective problem, which can be solved through the proposed non-dominated sorting genetic algorithm with elitist strategy. By constructing a satellite constellation for the target area, the effectiveness of the method has been verified. The simulation results show that compared with OneWeb constellation, the proposed constellation design method can effectively meet the user requirements with lower satellite cost.

Mugen Peng

Papers

Optimal Task Partition and Power Allocation for Mobile Edge Computing with NOMA

A Unified Architecture and the Tree Level Based Scheduling Technique for Multi-radio Multi-channel in IEEE 802.16 Standard Based Wireless Mesh Networks

Ergodic and Outage Capacity Analysis of Amplify-And-Forward MIMO Relay with OSTBCs

Channel Aware Adaptive Resource Allocation in Two-Hop Wireless Relay Networks

Regional LEO Satellite Constellation Design Based on User Requirements