Mahmoud A. M. Albreem

Reduced complexity optimum detector for block data transmission systems using Lattice Sphere Decoding technique

The complexity of the exhaustive search decoding technique such as Maximum Likelihood Block Detection (MLBD) grows exponentially with the size of transmitted data. In this paper, a Lattice Sphere Decoding (LSD) technique is proposed for detection in block data transmission systems (BDTS). Simulation results at 10dB channel SNR of BDTS with LSD using block size of 20 performs are near Hybrid Micro Genetic Algorithm (HMGA) and slightly inferior than the exhaustive search technique using the channels with spectral nulls. In term of complexity, the proposed LSD technique requires only 460 and 126 objective functions evaluation using radius selection based on Babai Estimation (BE) and off-line observation respectively, while the HMGA and exhaustive search requires 3750 and 220 objective functions evaluation respectively.

5G wireless communication systems: Vision and challenges

The fourth generation wireless communication (4G) systems have been deployed or are soon to be deployed in many countries. However, with an explosion of wireless mobile devices and services, there are still some challenges that cannot be accommodated even by 4G, such as the spectrum crises and high energy consumption. Wireless system designers have been facing the continuously increasing demand for high data rates and mobility required by new wireless applications and therefore have started research on fifth generation (5G) wireless systems that are expected to be deployed beyond 2020. The main purpose of 5G is planned to design the best wireless world that is free from limitations and hindrance of the previous generations. 5G is going to change the way most high bandwidth users access their mobile radio communication. Therefore, this paper presents why there is a need for 5G, advantages, and challenges. Moreover, a comprehensive study related to 5G has been presented.

Reduced Complexity Optimum Detector for Block Data Transmission System Using An Lattice Sphere Detection Technique

Block Data Transmission Systems (BDTS) are used in high speed wireless communication systems with time dispersive channel characteristics. Since Maximum Likelihood Block Detection (MLBD) requires huge amount of computation, Sphere Detection (SD) technique has been introduced as an alternative. This paper proposes an An Lattice Sphere Detection (AnLSD) technique for detection in block data transmission systems (BDTS). The An lattice structure offers more dense constellation points than the customary Zn lattice in SD technique. Thus, the proposed AnLSD uses An lattice generator matrix as the channel matrix, and uses the Gram matrix which is obtained from the generator matrix as part of the detection process. Simulation results show that the proposed AnLSD performs very close to the Exhaustive search (ES) using block size of 20 bits. It is also performing better than the other renowned methods tested under a channel with spectral nulls. The proposed AnLSD technique offers significant reduction in term of objective functions evaluation as compared to the other renowned methods.

Lattice Sphere Decoding for Data Transmission Systems with Special Channel Matrices

This paper presents the effects of condition number (

An Efficient Lattice Sphere Decoding Technique for Multi-Carrier Systems

\tau

A review: detection techniques for LTE system

τ) in communication system performance. It has been shown that a small condition number (

Design and implementation computing unit for laser jamming system using spatial parallelism on FPGA

\tau