Scheduling Algorithms and Throughput Maximization for the Downlink of Packet-Data Cellular Systems with Multiple Antennas at the Base Station

5G promises to support new level of use cases that will deliver a better user experience. The 3rd Generation Partnership Project (3GPP) [1] defined 5G system introduced fundamental changes on top of its former cellular systems in several design areas, including security. Unlike in the legacy systems, the 5G architecture design considers Home control enhancements for roaming customer, tight collaboration with the 3rd Party Application servers, Unified Authentication framework to accommodate various category of devices and services, enhanced user privacy, and secured the new service based core network architecture. Further, 3GPP is investigating the enhancements to the 5G security aspects to support longer security key lengths, False Base station detection and wireless backhaul in the Phase-2 of 5G standardization [2]. This paper provides the key enhancements specified by the 3GPP for 5G system, particularly the differences to the 4G system and the rationale behind the decisions.

Download Full-text

Increasing the peak data rate of 3G downlink packet data systems using multiple antennas

The 57th IEEE Semiannual Vehicular Technology Conference, 2003. VTC 2003-Spring. ◽

10.1109/vetecs.2003.1207553 ◽

2004 ◽

Cited By ~ 6

Author(s):

H. Huang ◽

S. Venkatesan ◽

A. Kogiantis ◽

N. Sharma

Keyword(s):

Multiple Antennas ◽

Data Rate ◽

Data Systems ◽

Packet Data

Download Full-text

(SET) Smart Energy Management and Throughput Maximization

Security Management in Mobile Cloud Computing - Advances in Information Security, Privacy, and Ethics ◽

10.4018/978-1-5225-0602-7.ch001 ◽

2017 ◽

pp. 1-28 ◽

Cited By ~ 2

Author(s):

Hassan El Alami ◽

Abdellah Najid

Keyword(s):

Energy Management ◽

Routing Protocols ◽

Clustering Algorithm ◽

Cluster Formation ◽

Clustering Algorithms ◽

Cluster Head ◽

Base Station ◽

Throughput Maximization ◽

Cluster Heads ◽

Smart Energy Management

Energy efficiency and throughput are critical factors in the design routing protocols of WSNs. Many routing protocols based on clustering algorithm have been proposed. Current clustering algorithms often use cluster head selection and cluster formation to reduce energy consumption and maximize throughput in WSNs. In this chapter, the authors present a new routing protocol based on smart energy management and throughput maximization for clustered WSNs. The main objective of this protocol is to solve the constraint of closest sensors to the base station which consume relatively more energy in sensed information traffics, and also decrease workload on CHs. This approach divides network field into free area which contains the closest sensors to the base station that communicate directly with, and clustered area which contains the sensors that transmit data to the base station through cluster head. So due to the sensors that communicate directly to the base station, the load on cluster heads is decreased. Thus, the cluster heads consume less energy causing the increase of network lifetime.

Download Full-text