Modelling and Qos-Achieving Solution in Full-Duplex Cellular Systems

Ali Y. Al-Zahrani 

Department of Electrical and Computer Engineering University of Jeddah Jeddah 21589, Saudi Arabia 

ABSTRACT 

The global bandwidth scarcity and the ever-growing demand for fast wireless services have motivated the quest for new techniques that enhance the spectral efficiency (SE) of wireless systems. Most conventional SE increasing methods (e.g., adaptive modulation and coding) have already been exhausted. Single-channel full-duplex (SCFD) communication is a new attractive approach in which each node may simultaneously receive and transmit over the same frequency channel, and thus, it has the potential to double the current SE figures. In this paper, we derive a model for the signal-to-interference-plus-noise ratio (SINR) in a SCFD-based cellular system with imperfect self-interference cancellation. Furthermore, given a set of uplink and downlink quality of service requirements, we answer the following two fundamental questions. First, is this set achievable in the SCFD-based cellular system? Second, if the given set is achievable, what is the optimal achieving policy? To that end, we provide a unified model for the SCFD-based cellular system, and give insights in the matrix of interference channel gains. Simulation results suggest that depending on the locations of the users, a combination of full-duplex and half-duplex modes over the whole network is more favourable policy. 

KEYWORDS

Full-duplex, cellular network, self-interference, inter-cell interference, resource allocations and interference cancellation

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Energy Splitting for SWIPT in QoS-Constraint MTC Network: A Non-Cooperative Game Theoretic Approach

Kang Kang, Zhenni Pan, Jiang Liu, Shigeru Shimamoto

Graduate School of Fundamental Science and Engineering, Waseda University, Japan

ABSTRACT

This paper studies the emerging wireless energy harvesting algorithm dedicated for machine type communication (MTC) in a typical cellular network where one transmitter (e.g. the base station, a hybrid access point) with constant power supply communicates with a set of users (e.g. wearable devices, sensors). In the downlink direction, the information transmission and power transfer are conducted simultaneously by the base station. Since MTC only transmits several bits control signal in the downlink direction, the received signal power can be split into two parts at the receiver side. One is used for information decoding and the other part is used for energy harvesting. Since we assume that the users are without power supply or battery, the uplink transmission power is totally from the energy harvesting. Then, the users are able to transmit their measured or collected data to the base station in the uplink direction. Game theory is used in this paper to exploit the optimal ratio for energy harvesting of each user since power splitting scheme is adopted. The results show that this proposed algorithm is capable of modifying dynamically to achieve the prescribed target downlink decoding signal-to-noise plus interference ratio (SINR) which ensures the high reliability of MTC while maximizing the uplink throughput. 

KEYWORDS

 Energy harvesting, decoding SINR, uplink throughput maximization

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A Future Mobile Packet Core Network Based on Ip-In-Ip Protocol

Mohammad Al Shinwan1 and Kim Chul-Soo2

1 Faculty of Computer Science and Informatics, department of Mobile Computing, Amman Arab University, Amman, Jordan. 2Department of Computer Engineering, Inje University, Gimhae, Republic of Korea. 

ABSTRACT 

The current Evolved Packet Core (EPC) 4th generation (4G) mobile network architecture features complicated control plane protocols and requires expensive equipment. Data delivery in the mobile packet core is performed based on a centralized mobility anchor between eNode B (eNB) elements and the network gateways. The mobility anchor is performed based on General Packet Radio Service tunnelling protocol (GTP), which has numerous drawbacks, including high tunnelling overhead and suboptimal routing between mobile devices on the same network. To address these challenges, here we describe new mobile core architecture for future mobile networks. The proposed scheme is based on IP encapsulated within IP (IP-in-IP) for mobility management and data delivery. In this scheme, the core network functions via layer 3 switching (L3S), and data delivery is implemented based on IP-in-IP routing, thus eliminating the GTP tunnelling protocol. For handover between eNB elements located near to one another, we propose the creation of a tunnel that maintains data delivery to mobile devices until the new eNB element updates the route with the gateway, which prevents data packet loss during handover. For this, we propose Generic Routing Encapsulation (GRE) tunnelling protocol. We describe the results of numerical analyses and simulation results showing that the proposed network core architecture provides superior performance compared with the current 4G architecture in terms of handover delay, tunnelling overhead and total transmission delay. 

KEYWORDS 

5G network, mobile core network, IP-in-IP, GRE 

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Packet Size Optimization for Energy Efficiency in Multipath Fading for Wireless Body Area Network

Nattkorn Promwongsa and Teerapat Sanguakotchakorn

Asian Institut of Technology, Thailand

ABSTRACT

 Recently, Wireless Body Area Network (WBAN) has drawn vast interest to many researchers due to its potential in healthcare and medical fields. In this paper, we propose the energy efficiency model of Time Diversity communication in Rician and Rayleigh fading channels emphasizing the optimal packet size. The optimal packet size to maximize energy efficiency is investigated for on-body and in-body channels. Four modulation techniques are considered including the recently proposed 16-ary Quadrature Amplitude Position Modulation (QAPM). In addition, the closed-form expression of the energy efficiency model in multipath fading is derived. Here, three evaluation metrics including the energy efficiency, the normalized throughput and the average end-to-end delay are adopted and compared to the existing 1-hop and Cooperative communications as well as our previously proposed 2-hop communication. The results show that our proposed Time Diversity communication scheme outperforms the existing ones in deep fading channel except for the average end-to-end delay. 

KEYWORDS

Packet Size Optimization, Energy Efficiency, 2-hop, Time Diversity, Multipath Fading, Wireless Body Area Network

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Multi-Constraints Adaptive Link Quality Index Based Mobile-RPL Routing Protocol for Low Power Lossy Networks

Sneha K1 . and B G Prasad2

1Department of Computer Science & Engineering, BNM Institute of Technology, Bengaluru, Karnataka, India 2Department of Computer Science & Engineering, BMS College of Engineering, Bengaluru, Karnataka, India

ABSTRACT

The importance of IPv6 Routing Protocol for Low power and Lossy Networks (LLNs), also called RPL, has motivated in the development of a robust and quality of service (QoS) oriented Multi-Constraints Adaptive Link Quality Index (MALQI) based routing protocol. Unlike classical RPL protocols, MALQI enables mobile-RPL while ensuring fault-resilient, reliable and QoS communication over LLNs. MALQI protocol exploits key novelties such as signal strength based mobile node positioning, average received signal strength indicator (ARSSI) and ETX based objective function for fault tolerant best forwarding path selection. The functional architecture of MALQI enables it to be used as the parallel to the link layer RPL that even in the case of link failure can assist efficient data delivery over LLNs. Once detecting link outage, MALQI can execute node discover and best forwarding path selection to assist QoS delivery. Contiki-Cooja based simulation reveals that MALQI based mobile-RPL outperforms other state-of-art routing protocols. 

KEYWORDS

 Mobile-RPL; Adaptive Link Quality; Low Power Lossy Network; Routing Protocol; MALQI.

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Enhancing and Measuring the Performance in Software Defined Networking

1Md. Alam Hossain, 1Mohammad Nowsin Amin Sheikh,2,*Shawon S. M. Rahman, 1 Sujan Biswas, and 1Md. Ariful Islam Arman 

1Dept. of Computer Science & Engineering, Jessore University of Science and Technology, Jessore, Bangladesh 2Associate Professor, Dept. of Computer Science & Engineering, University of HawaiiHilo, 200 W. Kawili Street, Hilo, HI 96720, USA 

ABSTRACT 

Software Defined Networking (SDN) is a challenging chapter in today’s networking era. It is a network design approach that engages the framework to be controlled or 'altered' adroitly and halfway using programming applications. SDN is a serious advancement that assures to provide a better strategy than displaying the Quality of Service (QoS) approach in the present correspondence frameworks. SDN etymologically changes the lead and convenience of system instruments using the single high state program. It separates the system control and sending functions, empowering the network control to end up specifically. It provides more functionality and more flexibility than the traditional networks. A network administrator can easily shape the traffic without touching any individual switches and services which are needed in a network. The main technology for implementing SDN is a separation of data plane and control plane, network virtualization through programmability. The total amount of time in which user can respond is called response time. Throughput is known as how fast a network can send data. In this paper, we have design a network through which we have measured the Response Time and Throughput comparing with the Real-time Online Interactive Applications (ROIA), Multiple Packet Scheduler, and NOX. 

KEYWORDS

Software Defined Networking, SDN, Quality of Service, QoS, Real-time Online Interactive Application, ROIA, Network Operating System, NOX, CES, MPLSTE, Switch Capacity, Number of Queues Impact, QoE Evaluation, Bandwidth Isolation.

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A New Approach to Stochastic Scheduling in Data Center Networks

Tingqiu Tim Yuan, Tao Huang, Cong Xu and Jian Li 

Huawei Technologies, China 

ABSTRACT 

The Quality of Service (QoS) of scheduling between latency-sensitive small data flows (a.k.a. mice) and throughput-oriented large ones (a.k.a. elephants) has become ever challenging with the proliferation of cloud-based applications. In light of this mounting problem, this work proposes a novel flow control scheme, HOLMES (HOListic Mice-Elephants Stochastic), which offers a holistic view of global congestion awareness as well as a stochastic scheduler of mixed mice-elephants data flows in Data Center Networks (DCNs). Firstly, we theoretically prove the necessity for partitioning DCN paths into sub-networks using a stochastic model. Secondly, the HOLMES architecture is proposed, which adaptively partitions the available DCN paths into low-latency and high-throughput sub-networks via a global congestion-aware scheduling mechanism. Based on the stochastic power-of-two-choices policy, the HOLMES scheduling mechanism acquires only a subset of the global congestion information, while achieves close to optimal load balance on each end-to-end DCN path. We also formally prove the stability of HOLMES flow scheduling algorithm. Thirdly, extensive simulation validates the effectiveness and dependability of HOLMES with select DCN topologies. The proposal has been in test in an industrial production environment. An extensive survey of related work is also presented.

KEYWORDS

 Data center network, flow scheduling, network partition, stochastic scheduling model

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