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In this paper, a power efficient self-organized virtual small networking protocol is proposed to save network-wide power consumption in cellular networks. The meta-heuristic firefly algorithm is proposed to arrange the base stations (BSs) into several groups based on a well-defined brightness, which is a traffic load related factor. By jointly considering the load balance in each BS group, the effectiveness...
Network virtualization techniques allow for the coexistence of many virtual networks hosted in a same substrate network. Virtual router migrations allow for resource consolidation with the consequence to reduce the power consumption in low traffic periods. Unfortunately virtual router migrations have the effect of degrading the Quality of Service during the downtime in which the router is not able...
Energy efficiency (EE) is considered as a key enabler for the next generation of communication system. Equally, scheduling is an important aspect for efficient and reliable communication in multi-user system. In this paper, we propose a low-complexity green scheduling algorithm for the downlink of orthogonal frequency division multiple access (OFDMA) cellular system when considering that base station...
To meet the challenge of the ever-growing traffic volume in current wireless communications, ultra-dense network (UDN) deployment with high system capacity has attracted wide attention in recent years. However, existing researches on UDN mainly focus on system throughput while ignore energy efficiency (EE). Therefore, we will analyze the UDN performance including not only system throughput but also...
Cognitive Radio (CR) with the capability of discovering the unused spectrum promises higher spectrum efficiency - a pressing requirement for 5G networks. However, CR owes this capability to power-hungry tasks, most particularly to spectrum sensing. Given that advances in battery capacity has a slower pace compared to advances in device capabilities and traffic growth, it is paramount to develop energy-efficient...
The heterogeneous network (HetNet) which consists of several small cell base stations (BSs) and an overlaid macro cell BS is a promising solution to accomplish very high data rate and energy-efficient communication. The design of energy-efficient mechanisms and radio resource allocation among BSs is an important issue in HetNet. There are a variety of ON/OFF switching algorithms for BSs in the literature...
Ensuring seamless coverage accounts for the lion's share of the energy consumed in a mobile network. Overlapping coverage of three to five mobile network operators (MNOs) results in enormous amount of energy waste which is avoidable. The traffic demands of the mobile networks vary significantly throughout the day. As the offered load for all networks are not same at a given time and the differences...
Cell sizes of the Fifth Generation (5G) of mobile networks grow inexorably smaller because of the massive Multiple-Input Multiple-Output (MIMO) and millimeter wave communication technologies to be used. It is therefore challenging to address the mobility management, especially vertical handover in 5G networks. In this paper, an intelligent vertical handover framework is proposed and discussed to simplify...
The deluge of date rate in today's networks poses a cost burden on the backhaul network design. Developing cost efficient backhaul solutions becomes an interesting, yet challenging, problem. Traditional technologies for backhaul networks include either radio-frequency backhauls (RF) or optical fibres (OF). While RF is a cost-effective solution as compared to OF, it supports lower data rate requirements...
This paper aims at developing a novel high precision compression method. Based on the previously developed Fuzzy Transform Compression (FTC), we design and implement a modified version of the algorithm, referred to as Fuzzy Compression Adaptive Transform (FuzzyCAT). The underlying idea of FuzzyCAT is to adapt the transform parameters to the signal's curvature inferred from the time derivatives. FuzzyCAT...
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