Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jens Berkmann is active.

Publication


Featured researches published by Jens Berkmann.


international conference on communications | 2012

Multi-layer rate splitting scheme for interference mitigation in tri-sectored wireless networks

Guangxia Zhou; Gerhard Bauch; Jens Berkmann; Wen Xu

In a multi-cell wireless network, cell-edge user equipments (UEs) inevitably suffer from strong interference from adjacent cells which leads to the UE throughput decrease. Contrary to conventional interference mitigation techniques which treat the interference as noise, we propose to use a rate splitting based interference exploitation technique. A novel distributed power allocation algorithm is adopted to optimize the performance. Simulation results show that the multi-layer rate splitting scheme with the proposed power allocation algorithm can approach the best known achievable rate bound of a two-user interference channel and substantially improve the performance of cell-edge UEs in a tri-sectored network.


wireless and mobile computing, networking and communications | 2011

Inter-cell interference coordination via cooperative rate splitting and scheduling

Guangxia Zhou; Gerhard Bauch; Jens Berkmann

The current coordinated multi-point transmission schemes require the transmission coordination to avoid the interference. This paper considers the benefit from the rate splitting method, which has been shown to improve the capacity of the interference channel by decoding part of the interference. In this paper, a coordinated multi-point transmission framework based on the cooperative rate splitting scheme is proposed in the Long Term Evolution Advanced system, where a user equipment pair selection algorithm and a cooperative proportional fair scheduling algorithm are newly developed. The simulation results have shown that the coordinated multi-point transmission with cooperative rate splitting can substantially improve the performance of the cell-edge user equipment without or with a slight performance loss at the average rate in a realistic network.


wireless communications and networking conference | 2012

Application of rate splitting transmission scheme for LTE-Advanced systems

Guangxia Zhou; Gerhard Bauch; Jens Berkmann; Wen Xu

In a multi-cell wireless network, an efficient interference mitigation technique is an inevitable part of the current state-of-the-art wireless system. As opposed to conventional interference mitigation techniques which treat the interference as noise, a multi-layer rate splitting scheme can be considered to improve the performance by decoding part of the interference. In this paper, we adapt the multi-layer rate splitting scheme to a Long Term Evolution Advanced framework. Simulation results for two UEs show that the proposed multi-layer rate splitting scheme substantially improves the performance of the cell-edge UE and achieves better fairness between the involved UEs.


2011 8th International Workshop on Multi-Carrier Systems & Solutions | 2011

Interference mitigation via cooperative rate splitting and scheduling in tri-sectored OFDMA systems

Guangxia Zhou; Gerhard Bauch; Jens Berkmann

In this paper, a downlink multi-cell orthogonal frequency division multiplexing access (OFDMA) system using the same carrier frequency is studied. The multi-cell interference degrades the performance severely. This paper analyzes the interference mitigation performance of the simple Han-Kobayashi rate splitting scheme in a realistic modeling of the multi-cell system. A cooperative rate splitting scheme is proposed and a closed form optimal power allocation solution is derived. Then, we propose a new scheduling strategy to further improve the performance. Simulation results show that the cooperative rate splitting strategy combined the new scheduling algorithm can get a substantial capacity gain.


cognitive radio and advanced spectrum management | 2011

Closed loop transmission in EUTRA-LTE system

Zijian Bai; Michael Horvat; Christoph Spiegel; Jens Berkmann; Christian Drewes; Bertram Gunzelmann; Guido H. Bruck; Peter Jung

Closed-loop transmission combined with MIMO (multiple-input multiple-output) technologies have drawn most attentions during development of the LTE (Long Term Evolution) and LTE-Advanced systems. In LTE/LTE-A, the codebook based precoding scheme (termed as PMI-Precoding Matrix Index selection) is deployed for realizing the closed-loop transmission concept. In addition, dynamic transmission mode selection between the spatial multiplexing and transmit diversity, termed as RI (rank indicator) selection, and the adaptive MCS (modulation and coding schemes) selection, realized as CQI (channel quality indicator) selection are also deployed in LTE systems to provide more robust link connection. In this manuscript, the authors focused on the study of selection criteria on the feedback parameters in closed-loop transmission in LTE systems. With joint selection of the PMI, RI and CQI, the authors illustrate an impressive performance improvement given by closed-loop transmission in contrast to open loop transmission and furthermore conclude that the maximum mutual information is one of the optimal criteria for parameters selections.


Archive | 2007

CONTROL CHANNEL DETECTION SCHEME

Mauro Bottero; Jens Berkmann


Archive | 2012

Method and Apparatus for Performing a CRC Check

Xiao-an Wang; Jens Berkmann


Archive | 2012

WORKER AND ITERATION CONTROL FOR PARALLEL TURBO DECODER

Axel Huebner; Jens Berkmann; Maria Fresia; Armin Hautle


Archive | 2008

DECODER OF ERROR CORRECTION CODES

Michael Lunglmayr; Jens Berkmann


Archive | 2012

Method for Control Channel Detection in Wireless Communications Systems

Jens Berkmann; Armin Haeutle; Axel Huebner

Collaboration


Dive into the Jens Berkmann's collaboration.

Top Co-Authors

Avatar

Axel Huebner

Intel Mobile Communications

View shared research outputs
Top Co-Authors

Avatar

Guangxia Zhou

Intel Mobile Communications

View shared research outputs
Top Co-Authors

Avatar

Gerhard Bauch

Hamburg University of Technology

View shared research outputs
Top Co-Authors

Avatar

Armin Hautle

Intel Mobile Communications

View shared research outputs
Top Co-Authors

Avatar

Maria Fresia

Intel Mobile Communications

View shared research outputs
Top Co-Authors

Avatar

Wen Xu

Intel Mobile Communications

View shared research outputs
Top Co-Authors

Avatar

Armin Haeutle

Intel Mobile Communications

View shared research outputs
Top Co-Authors

Avatar

Bertram Gunzelmann

Intel Mobile Communications

View shared research outputs
Top Co-Authors

Avatar

Christian Drewes

Intel Mobile Communications

View shared research outputs
Top Co-Authors

Avatar

Mauro Bottero

Intel Mobile Communications

View shared research outputs
Researchain Logo
Decentralizing Knowledge