Swarm Optimization based Radio Resource Allocation for Dense Devices D2D Communication
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 6
Abstract
In Device to Device (D2D) communication two or more devices communicate directly with each other in the in-band cellular network. It enhances the spectral efficiency due to cellular radio resources (RR) are shared among the cellular users and D2D users. If the RR sharing is not legitimate properly, it causes interference and inefficient use. Therefore, management of RR between cellular users and D2D users is required to control the interference and inefficient use of RR. In D2D enabled cellular network, D2D users have a good signal to noise ratio (SNR) compared with cellular users due to the short distances and dedicated path. Using this advantage, an efficient RR allocation algorithm based on swarm optimization is proposed in this paper, that allows utmost spatial reuse in multi-users and OFDMA networks. The algorithm determines the required RR on the request of D2D users following the indicator variable. It enhances the capacity (Bit/Hz), overall system throughput and spectral efficiency with respect to sub-carriers in OFDMA networks. The performance of the proposed algorithm is evaluated via MATLAB simulations.
Authors and Affiliations
O. Hayat, R. Ngah, Siti Z. Mohd Hashim
Keywords
Related Articles
- EP ID EP322210
- DOI 10.14569/IJACSA.2018.090636
- Views 73
- Downloads 0
A Qualitative Comparison of NoSQL Data Stores
Due to the proliferation of big data with large volume, velocity, complexity, and distribution among remote servers, it became obvious that traditional relational databases are unsuitable for meeting the requirements of...
PERFORMANCE ANALYSIS AND COMPARISON OF 6TO4 RELAY IMPLEMENTATIONS
The depletion of the public IPv4 address pool may speed up the deployment of IPv6. The coexistence of the two versions of IP requires some transition mechanisms. One of them is 6to4 which provides a solution for the prob...
A Fuzzy Similarity Based Concept Mining Model for Text Classification
Text Classification is a challenging and a red hot field in the current scenario and has great importance in text categorization applications. A lot of research work has been done in this field but there is a need to cat...
A Comparative Study on Temporal Mobile Access Pattern Mining Methods
Mobile users behavior patterns is one of the most critical issues that need to be explored in mobile agent systems. Recently the algorithms of discovering frequent mobile user’s behavior patterns have been studied...
An Adaptive CAD System to Detect Microcalcification in Compressed Mammogram Images
Microcalcifications (MC) in mammogram images are an early sign for breast cancer and their early detection is vital to improve its prognosis. Since MC appears as small dot in the mammogram image with size less than 1 mm...