It is now well known that employing channel adaptive signaling in wireless communication systems can yield large improvements in almost any performance metric. Unfortunately, many kinds of channel adaptive techniques have been deemed impractical in the past because of the problem of obtaining channel knowledge at the transmitter. The transmitter in many systems (such as those using frequency division duplexing) can not leverage techniques such as training to obtain channel state information. Over the last few years, research has repeatedly shown that allowing the receiver to send a small number of information bits about the channel conditions to the transmitter can allow near optimal channel adaptation. These practical systems, which are commonly referred to as limited or finite-rate feedback systems, supply benefits nearly identical to unrealizable perfect transmitter channel knowledge systems when they are judiciously designed. In this tutorial, we provide a broad look at the field of limited feedback wireless communications. We review work in systems using various combinations of single antenna, multiple antenna, narrowband, broadband, single-user, and multiuser technology. We also provide a synopsis of the role of limited feedback in the standardization of next generation wireless systems.

/pdf/an-overview-of-limited-feedback-in-wireless-communication-1njp2bb1kz.pdf

An overview of limited feedback in wireless communication systems

This document provides updates to IEEE Std 802.16's MIB for the MAC, PHY and asso- ciated management procedures in order to accommodate recent extensions to the standard.

IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems Draft Amendment: Management Information Base Extensions

The exponential growth and availability of data in all forms is the main booster to the continuing evolution in the communications industry. The popularization of traffic-intensive applications including high definition video, 3-D visualization, augmented reality, wearable devices, and cloud computing defines a new era of mobile communications. The immense amount of traffic generated by today’s customers requires a paradigm shift in all aspects of mobile networks. Ultradense network (UDN) is one of the leading ideas in this racetrack. In UDNs, the access nodes and/or the number of communication links per unit area are densified. In this paper, we provide a survey-style introduction to dense small cell networks. Moreover, we summarize and compare some of the recent achievements and research findings. We discuss the modeling techniques and the performance metrics widely used to model problems in UDN. Also, we present the enabling technologies for network densification in order to understand the state-of-the-art. We consider many research directions in this survey, namely, user association, interference management, energy efficiency, spectrum sharing, resource management, scheduling, backhauling, propagation modeling, and the economics of UDN deployment. Finally, we discuss the challenges and open problems to the researchers in the field or newcomers who aim to conduct research in this interesting and active area of research.

Ultra-Dense Networks: A Survey

As the deployment and commercial operation of 4G systems are speeding up, technologists worldwide have begun searching for next generation wireless solutions to meet the anticipated demands in the 2020 era given the explosive growth of mobile Internet. This article presents our perspective of the 5G technologies with two major themes: green and soft. By rethinking the Shannon theorem and traditional cell-centric design, network capacity can be significantly increased while network power consumption is decreased. The feasibility of the combination of green and soft is investigated through five interconnected areas of research: energy efficiency and spectral efficiency co-design, no more cells, rethinking signaling/control, invisible base stations, and full duplex radio.

Toward green and soft: a 5G perspective

A wireless telecommunication system comprises base stations for communicating with terminal devices. One or more base stations support a power boost operating mode in which a base station's available transmission power is concentrated in a subset of its available transmission resources to provide enhanced transmission powers as compared to transmission powers on these transmission resources when the base station is not operating in the power boost mode. A base station establishes an extent to which one or more base stations in the wireless telecommunications system support the power boost operating mode conveys an indication of this to a terminal device. The terminal device receives the indication and uses the corresponding information to control its acquisition of a base station of the wireless telecommunication system, for example by taking account of which base stations support power boosting and/or when power boosting is supported during a cell attach procedure.

Telecommunications apparatus and methods

In a wireless communication network providing voice and data services, one or more entities in the network, such as a base station controller and/or radio base station, can be configured to reduce data services overhead responsive to detecting a congestion condition, thereby increasing the availability of one or more network resources for voice services. In one or more exemplary embodiments, one or more current data services users are targeted for modification of their ongoing data services to effect the reduction in data services overhead. Modifications can include, but are not limited to, any one or more of the following: forward or reverse link data rate reductions, and shifting of forward or reverse link traffic from dedicated user channels to shared user channels. Targeting of users for service modification can be based on reported channel quality information. For example, users reporting poor radio conditions can be targeted first for service modifications.

Dynamic voice over data prioritization for wireless communication networks

A quality of service framework is a fundamental component of a 4G broadband wireless network for satisfactory service delivery of evolving Internet applications to end users, and managing the network resources. Today's popular mobile Internet applications, such as voice, gaming, streaming, and social networking services, have diverse traffic characteristics and, consequently, different QoS requirements. A rather flexible QoS framework is highly desirable to be future-proof to deliver the incumbent as well as emerging mobile Internet applications. This article highlights QoS frameworks and features of OFDMA-based 4G technologies - IEEE 802.16e, IEEE 802.16m, and LTE - to support various applications' QoS requirements. A few advanced QoS features such as new scheduling service (i.e., aGP), quick access, delayed bandwidth request, and priority controlled access in IEEE 802.16m are explained in detail. A brief comparison of the QoS framework of the aforementioned technologies is also provided.

http://ants.iis.sinica.edu.tw/3BkMJ9lTeWXTSrrvNoKNFDxRm3zFwRR/63/Quality%20of%20Service%20in%20WiMAX%20and%20LTE%20Networks.pdf

Quality of service in WiMAX and LTE networks [Topics in Wireless Communications]

Methods and apparatuses enable providing a dynamic, adaptive discontinuous reception (DRX) period based on available battery power of a mobile device. A mobile device can be assigned a DRX period based on a battery power level of the mobile device, and the assigned DRX period can be dynamically changed to reflect changes to the battery power level. In one embodiment, the mobile device initiates changes to the DRX period.

Adaptive DRX Cycle Length Based on Available Battery Power

A wireless communication network includes a base station system that transmits sector congestion information to influence mobile station sector selection processing. In an exemplary embodiment, where at least some of the mobile stations being supported by the network autonomously select the network sector from which they wish to receive forward link packet data transmissions, an exemplary base station influences that sector selection processing by transmitting congestion information on a per sector basis. Complementing that transmission by the network, an exemplary mobile station incorporates consideration of the sector congestion information into its autonomous sector selection processing logic. Thus, where potentially large numbers of mobile stations individually select the “best” sector from a candidate set of sectors, the network can perform load balancing by advertising sector congestion levels, so that mobile stations can choose (or avoid choosing) a given sector based at least in part of the congestion information.

Method and apparatus for congestion control in high speed wireless packet data networks

Discontinuous reception (DRX) saves battery power of user equipment (UE) usually at the expense of potential increase in latency in the Long Term Evolution (LTE) networks. Therefore, an optimization is needed to find the best tradeoff between latency and power saving. In this paper, we first develop an analytical model to estimate power saving achieved and latency incurred by DRX mechanism for active and background mobile traffic. A tradeoff scheme is then formulated to maintain a balance between these two performance parameters based on operator's preference for power saving and latency requirement of traffic. The analytical model is validated using system level simulation results obtained from OPNET Modeler. The results show that the proposed tradeoff scheme is efficient in keeping a balance between power saving and latency. The results also indicate that DRX short cycles are very effective in reducing latency for active traffic, while shorter inactivity timer is desirable for background traffic to enhance power saving. We also proposed a mechanism to switch DRX configuration based on traffic running at UE, using UE assistance procedure recently adopted by 3GPP in Release 11. DRX configuration switching increases the power saving significantly without any noticeable increase in latency of active traffic.

Rath Vannithamby

Papers

Dynamic voice over data prioritization for wireless communication networks

Quality of service in WiMAX and LTE networks [Topics in Wireless Communications]

Adaptive DRX Cycle Length Based on Available Battery Power

Method and apparatus for congestion control in high speed wireless packet data networks

Device Power Saving and Latency Optimization in LTE-A Networks Through DRX Configuration