Performance of transmit beamforming for interference mitigation with random codebooks

2013 ◽  
Author(s):  
Alexis Dowhuszko ◽  
Jyri Hämäläinen ◽  
Ahmed Elsherif ◽  
Zhi Ding
Keyword(s):  
Interference Mitigation ◽  
Transmit Beamforming

scholarly journals Interference Mitigation by Practical Transmit Beamforming Methods in Closed Femtocells

2010 ◽  
Vol 2010 (1) ◽  
Author(s):  
Mika Husso ◽  
Jyri Hämäläinen ◽  
Riku Jäntti ◽  
Juan Li ◽  
Edward Mutafungwa ◽  
...  
Keyword(s):  
Interference Mitigation ◽  
Transmit Beamforming

scholarly journals A Transmit Beamforming and Nulling Approach with Distributed Scheduling to Improve Cell Edge Throughput

2010 ◽  
Vol 2010 ◽  
pp. 1-9
Author(s):  
Wendy C. Wong ◽  
Qinghua Li ◽  
Shilpa Talwar
Keyword(s):  
Building Block ◽  
Interference Mitigation ◽  
Base Stations ◽  
Distributed Scheduling ◽  
System Throughput ◽  
Basic Building Block ◽  
Transmit Beamforming ◽  
Cell Edge ◽  
Speed Up

We propose a transmit scheme for WiMAX systems, where multiple base stations (BSs) employ downlink transmit beamforming and nulling for interference mitigation, with minimal coordination amongst BSs. This scheme improves system throughput and robustness, by increasing cell edge and overall cell throughputs by 68% and 19%, respectively, and by delivering improvement for mobile speed up to 60 km/h. First, cell edge users suffering from severe interferences are identified. Next, the RRM unit allocates resource to serving cell edge users only. BSs will schedule to serve their cell edge users independently using the allocated resources by the RRM. A special uplink sounding region is designed for BSs to learn the interference environment and form proper beams and nulls. The nulls formed towards users served by other BSs reduced interference from a BS towards these users and is the basic building block of our algorithm.

Interference mitigation in point to point wireless sensor networks using LSP protocol and time division multiplexing approach

2020 ◽  
Vol 39 (4) ◽  
pp. 5449-5458
Author(s):  
A. Arokiaraj Jovith ◽  
S.V. Kasmir Raja ◽  
A. Razia Sulthana
Keyword(s):  
Energy Consumption ◽  
Large Scale ◽  
Control Parameter ◽  
Interference Mitigation ◽  
Wireless Sensor ◽  
Point To Point ◽  
A Minor ◽  
Two Stages ◽  
Time Division ◽  
And Control

Interference in Wireless Sensor Network (WSN) predominantly affects the performance of the WSN. Energy consumption in WSN is one of the greatest concerns in the current generation. This work presents an approach for interference measurement and interference mitigation in point to point network. The nodes are distributed in the network and interference is measured by grouping the nodes in the region of a specific diameter. Hence this approach is scalable and isextended to large scale WSN. Interference is measured in two stages. In the first stage, interference is overcome by allocating time slots to the node stations in Time Division Multiple Access (TDMA) fashion. The node area is split into larger regions and smaller regions. The time slots are allocated to smaller regions in TDMA fashion. A TDMA based time slot allocation algorithm is proposed in this paper to enable reuse of timeslots with minimal interference between smaller regions. In the second stage, the network density and control parameter is introduced to reduce interference in a minor level within smaller node regions. The algorithm issimulated and the system is tested with varying control parameter. The node-level interference and the energy dissipation at nodes are captured by varying the node density of the network. The results indicate that the proposed approach measures the interference and mitigates with minimal energy consumption at nodes and with less overhead transmission.

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