A Study on Packet Scheduling Algorithms for Healthcare Contents over Fifth Generation (5G) Mobile Cellular Network

This paper models the downlink Fifth Generation (5G) network that supports a flexible frame structure and a shorter Round Trip Time (RTT) for Hybrid Automatic Repeat Request (HARQ).  Moreover, the design of the renowned Time Division Multiple Access (TDMA) packet scheduling algorithms is revised to allow these algorithms to support packet scheduling in the downlink 5G. Simulation results demonstrate that the Proportional Fair provides a comparable performance to the delay–aware Maximum-Largest Weighted Delay First for simultaneously providing satisfactory transmission reliability of the Guaranteed Bit Rate (GBR) and Non-Guaranteed Bit Rate (Non-GBR) healthcare contents whilst maximizing the downlink 5G performance

A study of packet scheduling algorithms in long term evolution-advanced

The allocation of radio resources is one of the most critical functions performed by the Radio Resource Management (RRM) mechanisms in the downlink Long Term Evolution-Advanced (LTE-Advanced). Packet scheduling concerns itself with allocation of these radio resources in an intelligent manner such that system throughput/capacity can be maximized whilst the required multimedia Quality of Service (QoS) is met. Majority of the previous studies of packet scheduling algorithms for LTE-Advanced did not take the effect of channel impairments into account. However, in real world the channel impairments cannot be obliterated completely and have a direct impact on the packet scheduling performance. As such, this work studies the impact of channel impairments on packet scheduling performance in a practical downlink LTE-Advanced. The simulation results obtained demonstrate the efficacy of RM2 scheduling algorithm over other scheduling algorithms in maximizing the system capacity and is more robust on the effect of the cellular channel impairments

Optimized Performance Evaluation of LTE Hard Handover Algorithm with Average RSRP Constraint

Hard handover mechanism is adopted to be used in 3GPP Long Term Evolution (3GPP LTE) in order to reduce the complexity of the LTE network architecture. This mechanism comes with degradation in system throughput as well as a higher system delay. This paper proposes a new handover algorithm known as LTE Hard Handover Algorithm with Average Received Signal Reference Power (RSRP) Constraint (LHHAARC) in order to minimize number of handovers and the system delay as well as maximize the system throughput. An optimized system performance of the LHHAARC is evaluated and compared with three well-known handover algorithms via computer simulation. The simulation results show that the LHHAARC outperforms three well-known handover algorithms by having less number of average handovers per UE per second, shorter total system delay whilst maintaining a higher total system throughput.Comment: 16 pages, 9 figures, International Journal of Wireless & Mobile Networks (IJWMN

OPPORTUNISTIC AND PLAYBACK-SENSITIVE SCHEDULING FOR VIDEO STREAMING

ABSTRACT Given the strict Quality of Service (QoS

Simulation Analysis for Multicast Context Delivery Network Mobility Management

The objective of this paper is to presents analyses for multicast network mobility management using NS3. It is mainly to verify the proposed network architecture and its activities.  NS3 is a network simulator that implements virtually network prototype that is close to real implementation. Network mobility management has become a popular topic in networking research due to its ability to mitigate mobile IPv6 problems. However the standard network mobility management only introduced to support unicast traffic. Hence this paper integrates context transfer and multicast fast reroute, and implements this integration to the standard network mobility management. This implementation enables multicast to network mobility management with high network performance support. The analyses focus on the throughput performance. The analyses of this simulator are hereby presented

Mathematical evaluation of context transfer and multicast fast reroute in multicast enabled network mobility management

Internet applications such as web based monitoring; live internet video, online video, video conference, webcam viewing and internet video to TV are highly used in today’s IP communication. The trends of these applications are, that they are played on mobile devices and distributed to many end users. Multicast communication over IP contributes to the end users applications distribution. It has been discovered by a CISCO research that mobile multicast traffic will soon reach zetabyte in 2019. The aim of this paper is to introduce new method that enable multicast in network mobility management. The new method is using context transfer and multicast fast reroute technique. The proposed method is quantitatively evaluated in terms of packet loss and service recovery tim

Enhancement of electrode design for non-invasive stimulus application

Existing electrodes can be classified into two categories which are invasive and non-invasive electrodes. The non-invasive electrodes can be further classified into wet or dry electrodes. Most of the off-the-shelf electrodes are made from rigid substrates which have the high level of motion artifacts. To overcome this motion artifact, flexible electrodes have been slowly introduced in the market. Flexible electrodes can be made from various types of material such as the substrate. This paper presents a work on designing a new flexible dry electrodes using poly(3,4-ethylenedioxythiophene) polystyrene sulfonate and silver by means of dispenser printing technology. Polyester cotton fabric was selected as the substrate in this electrode designed. Results from the experiment show that the conductivity of the proposed flexible electrode is comparable with the conventional pre-gelled electrode when applied to an electrical stimulator device. Eight out of ten subjects under test described no difference in comfort between the proposed electrodes and pre-gelled electrodes. © 2017 IEEE

A survey of component carrier selection algorithms for carrier aggregation in long term evolution-advanced

Given that the demand for real-time multimedia contents that require significantly high data rate are getting of high popularity, a new mobile cellular technology known as Long term Evolution-Advanced (LTE-A) was standardized. The LTE-A is envisaged to support high peak data rate by aggregating more than one contiguous or non-contiguous Component Carriers (CCs) of the same or different frequency bandwidths. This paper provides a survey on the case where the LTE-A is working in backward compatible mode as well as when the system contains only LTE-A users. Note that the backward compatible mode indicates that the LTE-A contains a mixture of the legacy Long Term Evolution Release 8 (LTE) users that support packets (re)transmission on a single CC and the LTE-A users that are capable of utilizes more than one CCs for packets (re)transmission. It can be concluded from the study that the CC selection algorithms for newly-arrived LTE users can benefit from the channel diversity and the load status whereas the carrier aggregation that does not allocate all of the available CCs to the newly arrived LTE-A users shown to be more efficient

Simulation of packet scheduling in cognitive long term evolution-advanced

Real Time (RT) and Non-Real Time (NRT) multimedia content demand on mobile devices are increasing at a high pace. Long Term Evolution-Advanced (LTE-A) is expected to cater these demands. However, LTE-A operates at fixed spectrum which leads to spectrum scarcity. Cognitive Radio (CR) is one the promising technologies that is used to overcome spectrum scarcity and implementation of CR into LTE-A will improve spectrum availability and efficiency of the network. Furthermore, with addition of Packet Scheduling (PS) in the cognitive LTE-A, QoS requirement of the mobile users can be guaranteed. However, the study on the stated is very limited. Thus, this paper models, simulates and evaluates performance of five well-known PS algorithms for supporting the RT and NRT multimedia contents. The simulation results show that Maximum- Largest Weighted Delay First (M-LWDF) is the best candidate for implementation in the cognitive LTE-A

Analysis on the impact of outdated channel quality information (CQI) correction techniques on real-time quality of service (QoS)

Multimedia traffic is growing rapidly due to the advancement of the wireless technology and end user devices. These multimedia traffic demands for a satisfactory Quality of Service (QoS) and this becomes a challenge for the wireless network operators given the rapid radio propagation environments of the wireless channels. Channel Quality Information (CQI) report is an important parameter in wireless systems for determining the achievable data rate of multimedia transmission. However, a perfect CQI report is not always available at the base station. This requires the base station to correct the received CQI report. Therefore, this paper studies on a number of CQI correction techniques that can minimize the impact of imperfect CQI report on the QoS of Real-Time (RT) applications in the downlink Long Term Evolution-Advanced (LTE-A). Simulation results demonstrate that the Modified Average Smoothing CQI Correction (MASCC) technique has the best performance at 30 kmph user speed (i.e. 7.4% improvement compared to the ideal case) whereas its performance is comparable to the ideal case at 60 kmph user speed. Therefore, it can be concluded that the MASCC technique can significantly minimize the impact of outdated CQI on the RT QoS as compared to other CQI correction techniques