Recent advancements in radio access technologies for 4G+/5G next-generation telecommunication networks are based on the following principles: (i) Bandwidth aggregation, (ii) Network Heterogeneity, (iii) Transmit Diversity and (iv) Spatial Multiplexing. 3GPP Release 10+ specification suites have standardized techniques based on the aforementioned principles for LTE-Advanced systems as part of 4G+/5G deployments.Some of these techniques in LTE-Advanced deployments include carrier aggregation, evolved Multimedia Broadcast/Multicast Services (eMBMS) over LTE Single frequency networks, enhanced Inter-Cell Interference Coordination (eICIC) in LTE heterogeneous (HetNets), Coordinated Multi-point transmission (CoMP) with MIMO OFDMA 2D/3D beamforming for multi-cell self-organized networks (SoN), LTE deployments in unlicensed bands and their co-existence with WiFi, etc. Carrier Aggregation is based on aggregate frequency sub-band carriers of the same/varying bandwidths in the cellular base stations from the licensed band exclusively meant for cellular deployment (like LTE-Advanced Carrier Aggregation), as well as from the unlicensed band where other radio access technologies are also deployed (like License-Assisted Access and LTE-WiFi Aggregation in Unlicensed LTE). LTE-WiFi aggregation, in addition to eICIC HetNets, is also based on network heterogeneity. Network Heterogeneity deals with co-existence of cellular base stations with heterogeneous transmission capabilities or different radio access mechanisms. In HetNets, small cell deployments are used to enhance the coverage and capacity of macro cells. However, since LTE small cells with lower transmission power transmits on the same frequency bands as the macro cells (with higher transmission power), the latter heavily interferes with the former. eICIC focuses on co-existence of LTE small cells with LTE macro cells by appropriately managing their co-channel interference. Video broadcast over LTE single frequency networks is based on transmit diversity, which coordinates multiple LTE base stations to synchronize their redundant data transmissions on the same frequency-time resources and using the same modulation rates across the base stations, which increases the SINR at the users due to constructive combining of signals. CoMP with coordinated beamforming techniques is based on spatial multiplexing, which deals with transmission of independently-encoded data signals on the same frequency-time resources across multiple antennae deployed on the cellular base stations by overcoming interference. Our dissertation broadly discusses spectrum allocation and channel quality issues concerning the above deployments, and provides radio resource management and self-organized network solutions with regards to optimizing pertinent system utility functions. Particularly, our dissertation focuses on a common goal of analyzing the impact of cell-edge users in these network deployments and improving their overall performance, especially in terms of throughput and fairness. Furthermore, our dissertation focuses on meeting the Quality-of-Service (QoS) requirements of the operator in terms of delivering guaranteed bit rates for the subscribed applications, and enhancing the overall Quality-of-Experience (QoE) of users.

Providing an extensive overview of the radio resource management problem in femtocell networks, this invaluable book considers both code division multiple access femtocells and orthogonal frequency-division multiple access femtocells. In addition to incorporating current research on this topic, the book also covers technical challenges in femtocell deployment, provides readers with a variety of approaches to resource allocation and a comparison of their effectiveness, explains how to model various networks using Stochastic geometry and shot noise theory, and much more.

This SpringerBrief offers two concrete design examples for traffic offloading. The first is an optimal resource allocation for small-cell based traffic offloading that aims at minimizing mobile users’ data cost. The second is an optimal resource allocation for device-to-device assisted traffic offloading that also minimizes the total energy consumption and cellular link usage (while providing an overview of the challenging issues). Both examples illustrate the importance of proper resource allocation to the success of traffic offloading, show the consequent performance advantages of executing optimal resource allocation, and present the methodologies to achieve the corresponding optimal offloading solution for traffic offloading in heterogeneous cellular networks. The authors also include an overview of heterogeneous cellular networks and explain different traffic offloading paradigms ranging from uplink traffic offloading through small cells to downlink traffic offloading via mobile device-to-device cooperation. This brief is an excellent resource for postgraduate students studying advanced-level topics in wireless communications and networking. Researchers, engineers and professionals working in related fields will also find this brief a valuable resource tool.

Radio Resource Management in Cellular Systems is the first book to address the critical issue of radio resource management in emerging (i.e., third generation and beyond) wireless systems. This book presents novel approaches for the design of high performance handoff algorithms that exploit attractive features of several existing algorithms, provide adaptation to dynamic cellular environment, and allow systematic tradeoffs among different system characteristics. Efficient handoff algorithms cost-effectively enhance the capacity and quality of service (QoS) of cellular systems. A comprehensive foundation of handoff and related issues of cellular communications is given. Tutorial-type material on the general features of 3G and 3.5G wireless systems (including CDMA2000, UMTS, and 1xEV-DO) is provided. Key elements for the development of simulators to study handoff and overall RF performance of the integrated voice and data cellular systems (including those based on CDMA) are also described. Finally, the powerful design tools of neural networks and fuzzy logic are applied to wireless communications, so that the generic algorithm approaches proposed in the book can be applied to many other design and development areas. The simulation models described in the book represent a single source that provides information for the performance evaluation of systems from handoff and resource management perspectives. Radio Resource Management in Cellular Systems will prove a valuable resource for system designers and practicing engineers working on design and development of third generation (and beyond) wireless systems. It may also be used as a text for advanced-level courses in wireless communications and neural networks.

Providing an extensive overview of the radio resource management problem in femtocell networks, this invaluable book considers both code division multiple access femtocells and orthogonal frequency-division multiple access femtocells. In addition to incorporating current research on this topic, the book also covers technical challenges in femtocell deployment, provides readers with a variety of approaches to resource allocation and a comparison of their effectiveness, explains how to model various networks using Stochastic geometry and shot noise theory, and much more.

The OFDM transmission technique brings high efficiency in future wideband mobile communication systems. With self-organized radio resource management, an OFDM based cellular system can reach full flexibility, especially in a network with hotspots. Each base station allocates resources on demand, based on real-time measurements of signal and interference. Neither a central controller nor direct communication between base stations is needed. Additional schemes can be applied to reduce call interruptions due to unpredictable new interference after resource allocation. Future mobile communication systems require higher data rate and more flexibility. The OFDM, as a multi-carrier transmission technique, achieves high efficiency by subdividing the bandwidth into narrow and orthogonal subcarriers with specific spectrums. The consequent long symbol duration enables also a simple receiver structure in a multi-path propagation environment. Moreover, each subcarrier can use independently individual transmission parameters. In this thesis, a scheme of self-organized radio resource management is proposed for an OFDM based cellular system. All base stations in a cellular network are operating in the same central carrier frequency, but with different radio resources. A resource can be defined as a timeslot, a subcarrier, or any frequency-time block. All resources are accessible at any cell in the cellular network. Neither central controllers nor direct communication between base stations is needed. Each base station allocates radio resources and selects transmission parameters independently in accordance with the requirement and the measured real-time network condition. The powers of signal and interference are measured at both base stations and mobile terminals. To have an interference free measurement, a dedicated signal measurement timeslot is designed in the uplink. A resource quality function is defined to predict the transmission result in a time variant channel, applying both adaptive modulation and coding, and link adaptation. Those resources with highest possible data rates are allocated. In this way, an adaptive and up-to-date resource reuse can be realized. To reduce the amount of droppings due to unpredictable new interference after allocation, a security margin is introduced, which reserves a priori a space for new interference. A suitable margin brings 13% capacity increase. More efficiently, a reallocation procedure can be triggered when service degradation is observed for certain duration. This method can even bring about two times more capacity. The SO-RRM shows its high flexibility in a cellular network with non-uniform or fast changing user distribution. Hotspot cells can declare more resources, while the cells with few users use only much less resources. Furthermore, the multi-user diversity enables in the downlink adaptive resource rearrangement. Resources used inside a cell is exchanged based on instantaneous channel condition. Three different algorithms are compared. They can bring about 80% spectrum higher efficiency. Further information: - Tsinghua University (Chinese) - Tsinghua University (English) - Ruijie Networks Co., Ltd (Chinese) - Ruijie Networks Co., Ltd (English)