King Of Prussia, PA, United States
King Of Prussia, PA, United States

InterDigital develops wireless technologies for mobile devices, networks, and services worldwide. InterDigital has licenses and strategic relationships with many of the world's leading wireless companies. Founded in 1972, InterDigital is listed on NASDAQ and is included in the S&P MidCap 400 index.InterDigital has about 20,000 U.S. and foreign issued patents and patent applications. The company employs approximately 200 engineers, and conducts independent research and development in various areas of wireless, including spectrum usage, bandwidth management, video streaming and 5G. The company contributes technologies to various standards bodies, including the IEEE, ETSI and 3GPP.The company is a founding member of the Innovation Alliance - a coalition of entrepreneurial companies that claims to seek to improve the quality of patents granted. Wikipedia.

Time filter

Source Type

Peng M.,Beijing University of Posts and Telecommunications | Li Y.,Huawei | Jiang J.,Beijing University of Posts and Telecommunications | Li J.,InterDigital Communications | Wang C.,Beijing University of Posts and Telecommunications
IEEE Wireless Communications | Year: 2015

To mitigate the severe inter-tier interference and enhance the limited cooperative gains resulting from the constrained and non-ideal transmissions between adjacent base stations in HetNets, H-CRANs are proposed as cost-efficient potential solutions through incorporating cloud computing into HetNets. In this article, state-of-the-Art research achievements and challenges of H-CRANs are surveyed. In particular, we discuss issues of system architectures, spectral and energy efficiency performance, and promising key techniques. A great emphasis is given toward promising key techniques in HCRANs to improve both spectral and energy efficiencies, including cloud-computing-based coordinated multipoint transmission and reception, large-scale cooperative multiple antenna, cloud-computing-based cooperative radio resource management, and cloud-computingbased self-organizing networks in cloud converging scenarios. The major challenges and open issues in terms of theoretical performance with stochastic geometry, fronthaul-constrained resource allocation, and standard development that may block the promotion of H-CRANs are discussed as well. © 2002-2012 IEEE.

Ye Y.,InterDigital Communications | Andrivon P.,Technicolor
IEEE Multimedia | Year: 2014

This article presents an overview of SHVC, the scalable extension of H.265/HEVC. SHVC adopts a scalable coding architecture with only high-level syntax changes relative to its base codec, which allows SHVC to be deployed with significantly reduced implementation cost. SHVC supports a rich set of scalability features. It also addresses the increasing market demand for higher quality and higher value video content delivery by providing a set of desired scalability features with high coding efficiency. © 2014 IEEE.

Xu T.,InterDigital Communications | Xia X.-G.,University of Delaware
IEEE Transactions on Information Theory | Year: 2014

Gomadam recently proposed two distributed interference alignment algorithms, namely the zero-forcing and the maximal signal to interference plus noise ratio (max-SINR) algorithms. Both of them only require local channel state information and no symbol extension is needed. Then, Ning showed that when only one stream of information symbols is sent by each user, interference alignment may achieve receive diversity using the max-SINR algorithm. This result was, however, derived only based on an assumption. In this paper, using a different approach, we prove that interference alignment using the max-SINR algorithm indeed achieves receive diversity without the assumption used by Ning The result in this paper not only completes the proof of the result by Ning , but also generalizes it by allowing more than one stream of information symbols to be sent by each user. © 1963-2012 IEEE.

Wang S.,Nanjing University | Ge M.,Nanjing University | Wang C.,InterDigital Communications
IEEE Journal on Selected Areas in Communications | Year: 2013

Cognitive Radio (CR) is an attractive technology to deal with current spectrum scarcity problem, while cooperative relay can make distributed receivers benefit from spatial diversity and combat severe fading in wireless environment. CR with cooperative relay is potentially a promising paradigm for developing spectrum-efficient wireless systems. In this paper, we study the resource allocation in Orthogonal Frequency Division Multiplexing (OFDM)-based CR networks with cooperative relays. Since the formulated optimization task defines a mixed integer programming problem that is generally hard to solve, we propose a two-stage method to produce near optimal solutions. Particularly, by jointly considering the Signal-to-Noise Ratios (SNRs) of OFDM subchannels and the interferences introduced to primary users, we propose an efficient subchannel assignment scheme for the CR system, as well as transmission mode selection strategy. Furthermore, we develop a fast algorithm to distribute power among subchannels, which can always work out the optimal power allocation with a reasonable complexity by exploiting the structure of the problem. Numerical results show that our proposal can significantly increase the throughput of the CR system compared with other schemes, and the proposed algorithm converges quickly and stably. © 1983-2012 IEEE.

Wang S.,Nanjing University | Zhou Z.-H.,Nanjing University | Ge M.,Nanjing University | Wang C.,InterDigital Communications
IEEE Journal on Selected Areas in Communications | Year: 2013

In this paper we study the Resource Allocation (RA) in Orthogonal Frequency Division Multiplexing (OFDM)-based Cognitive Radio (CR) networks, under the consideration of many practical limitations such as imperfect spectrum sensing, limited transmission power, different traffic demands of secondary users, etc. The general RA optimization framework leads to a complex mixed integer programming task which is computationally intractable. We propose to address this hard task in two steps. For the first step, we perform subchannel allocation to satisfy heterogeneous users' rate requirements roughly and remove the intractable integer constraints of the optimization problem. For the second step, we perform power distribution among the OFDM subchannels. By exploiting the problem structure to speedup the Newton step, we propose a barrier-based method which is able to achieve the optimal power distribution with an almost linear complexity, significantly better than the complexity of standard techniques. Moreover, we propose a method which is able to approximate the optimal solution with a constant complexity. Numerical results validate that our proposal exploits the overall capacity of CR systems well subjected to different traffic demands of users and interference constraints with given power budget. © 1983-2012 IEEE.

Wei W.,Huawei | Wang C.,InterDigital Communications | Yu J.,Zte United States Inc.
IEEE Communications Magazine | Year: 2012

To support efficient delivery of packet and circuit services simultaneously in future optical networks, software will play more and more important roles, not only in control and management plane, but also in transport plane. This article discusses a new concept of cognitive optical networks utilizing intelligent software (e.g., digital signal processing in the optical transport plane and GMPLS in the optical control plane) as well as flexible optics (e.g., colorless, directionless, contentionless, gridless ROADM, and optical OFDM). The software-defined CON architecture with advanced capabilities such as quality of transmission awareness and client service awareness is capable of provisioning adaptive bandwidth services at wavelength and sub-wavelength levels, making future optical networks more cognitive and reconfigurable. © 2012 IEEE.

InterDigital Communications | Date: 2010-06-14

A method and device may be used to produce a received interference value in wireless communications. A wireless transmit/receive unit comprising a radio frequency signal measurement device may be configured to produce a value indicating a radio frequency signal, noise and interference received power. An average noise plus interference measuring device may be configured to produce a value indicating a measured average noise plus interference metric. A received signal to noise indication calculation device may be configured to calculate a received signal to noise indicator from the value indicating a radio frequency signal, noise and interference received power and the value may indicate a measured average noise plus interference metric.

InterDigital Communications | Date: 2012-02-13

A method and device may be used to produce a received interference value in wireless communications. The device may include one or more components to measure a received power of a channel and measure an average noise plus interference power of the channel. The device may include a processor configured to calculate a received signal to noise indicator (RSNI) value. The RSNI may be based on the measured received power and the measured average noise plus interference power.

A wireless communication method and device may be used to perform a media independent handover between technologically diversified access networks. A wireless transmit/receive unit (WTRU) may be configured to communicate with a plurality of technologically diversified access networks, such as Institute of Electrical and Electronics Engineers (IEEE) 802.X networks and Third Generation Partnership Project (3GPP) networks. The WTRU may include a plurality of access network specific protocol stacks and a media independent handover (MIH) function. The WTRU may be configured to communicate information with each of the plurality of access network specific protocol stacks using protocols specific to each to the plurality of access network protocol stacks.

News Article | June 26, 2015

If operators are to build 5G mobile networks with download speeds at 10Gbps and above, they are going to need a lot more spectrum -- but getting it won't be easy. If operators are to build 5G mobile networks with download speeds at 10Gbps and above, they are going to need a lot more spectrum -- but getting it won't be easy. The amount of spectrum allocated to 5G will determine how fast networks based on the technology will eventually become. Until recently, only frequencies below 6GHz have been considered for mobile networks, mostly because they are good for covering large areas. But there's now a growing need to unlock new spectrum bands in the 6GHz to 100GHz range too, attendees at the LTE and 5G World Summit conferences in Amsterdam heard this week. The use of spectrum in these bands is immensely important for 5G networks to be able to offer multiple gigabits per second, Robert DiFazio, chief engineer at wireless R&D company InterDigital Communications, said. By raising communication speeds, they are also expected to help lower latency in mobile networks. Even though spectrum from 6GHz to 100GHz won't be used in cellular access networks for at least another five years, vendors are keen to show they can handle all the technical challenges those frequencies present. The development of WiGig, which uses the 60GHz band, has already showed that using such high frequencies works, and on the show floor in Amsterdam, Huawei Technologies and Samsung Electronics both talked up pilot studies of other technologies they have conducted. For the potential of spectrum above 6GHz to be realized, a new generation of antennas will be required, capable of directing multiple beams of data to different users at the same time. New systems will likely also need new modulation schemes to encode the data on the radio waves more efficiently. There are ways for mobile networks to increase download speeds using existing spectrum, including using carrier aggregation or sharing spectrum with Wi-Fi networks. But at the end of the day, none of these options come close to the potential that as-yet-unused frequency bands above 6GHz offer. There is nowhere else to go but up, according to Samsung. Rolling out networks isn't just about hardware and software: Regulators also have their say. "We have made clear our intention to make large quantities of spectrum available in these frequencies, which is increasingly also the view of other regulators around the world," said Andrew Hudson, director of spectrum policy at British regulator Ofcom, who spoke on the subject on Thursday in Amsterdam. The current focus of Ofcom's work isn't whether to make spectrum available, but how to identify the best spectrum in this range. This involves finding bands with a combination of good physical characteristics and good prospects for international harmonization, while taking into account current use, according to Hudson. A final decision on what if any bands will be allocated isn't expected until 2019. After technical and regulatory challenges have been overcome, the networks also have to be rolled out. If extreme speeds are the upside of frequencies over 6GHz, poor coverage is the downside. These high frequencies don't have good reach and aren't very much use if you want to penetrate walls. To get around these weaknesses, mobile operators will have to install lots of smaller base stations -- but finding enough places to put even the current generation of small-cell base stations has already proved difficult. So taking full advantage of spectrum bands above 6GHz won't be easy, but if equipment and device vendors want 5G to become something more than an incremental upgrade over the LTE networks that exist in 2020, all technical and political challenges have to be overcome. The first commercial networks using 5G technologies are expected to go live in 2020, but will initially use spectrum below 6GHz because the infrastructure is already out there for those bands, according to DeFazio: Networks using the new frequency bands will only arrive later.

Loading InterDigital Communications collaborators
Loading InterDigital Communications collaborators