NDLI: Cross-layer channel selection and reward-based power allocation for maximizing system capacity and reward in 4G MIMO wireless communications

Content Provider	IEEE Xplore Digital Library
Author	Ben-Jye Chang Ying-Hsin Liang Kai-Peng Jhuang Tzung-Shiun Tsai
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Nat. Yunlin Univ. of Sci. & Technol., Yunlin, Taiwan (Ben-Jye Chang; Kai-Peng Jhuang) \|\| Dept. of Comput. Sci. & Inf. Eng., Chaoyang Univ. Technol., Taichung, Taiwan (Tzung-Shiun Tsai) \|\| Dept. of Comput. Sci. & Inf. Eng., Nan Kai Univ. of Technol., TsaoTun, Taiwan (Ying-Hsin Liang)
Abstract	For increasing network bandwidth and guaranteeing quality of service, the 4G networks proposes the techniques of MIMO and OFDMA. However, the performance of the 4G specifications is significantly degraded in the high-mobility environment and high communication interference. As a result, a sender easily uses inaccurate modulation and coding scheme (MCS) and improper power allocation for different-priority users having different SNRs. The system capacity is thus affected significantly. Additionally, the multiuser MIMO systems seldom consider that different-priority users and different-class traffic bring different rewards to the system. This paper thus proposes a cross layer reward-based approach (namely CLR) that consists of three schemes to achieve accurate CSI determination, optimal channel selection, and adaptive reward power allocation. Numerical results demonstrate that the proposed approach significantly outperforms the other approaches in system reward, system capacity, and the accuracy of the MCS determination.
Sponsorship	IEEE Sapporo Sect.
Starting Page	1793
Ending Page	1797
File Size	228015
Page Count	5
File Format	PDF
ISBN	9781479931965
e-ISBN	9781479931972
DOI	10.1109/InfoSEEE.2014.6946231
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-26
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Adaptive systems Modulation MIMO Encoding Resource management System reward Cross-layer Power allocation Adaptive MCS selection Signal to noise ratio
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Cross-layer channel selection and reward-based power allocation for increasing system capacity and reward in multiple-input–multiple-output wireless communications

Energy efficient predictive AMC with adaptive SNR-based power allocation in MIMO radio networks

Adaptive power allocation for wireless cooperative communications

A fast adaptive power allocation for maximizing a discrete utility function of OFDMA system

Optimal power allocation for secure communications in large-scale MIMO relaying systems

Approaching MAC Capacity via Power Allocation

Cross-Layer Adaptive Resource Allocation Algorithm For Wireless Communications Networks

Analysis of Modulation and Coding Scheme Selection in MIMO-OFDM Systems

Capacity in MIMO Channels Based on Different Power Allocation

Cross-layer channel selection and reward-based power allocation for maximizing system capacity and reward in 4G MIMO wireless communications

Similar Documents

Cross-layer channel selection and reward-based power allocation for increasing system capacity and reward in multiple-input–multiple-output wireless communications

Energy efficient predictive AMC with adaptive SNR-based power allocation in MIMO radio networks

Adaptive power allocation for wireless cooperative communications

A fast adaptive power allocation for maximizing a discrete utility function of OFDMA system

Optimal power allocation for secure communications in large-scale MIMO relaying systems

Approaching MAC Capacity via Power Allocation

Cross-Layer Adaptive Resource Allocation Algorithm For Wireless Communications Networks

Analysis of Modulation and Coding Scheme Selection in MIMO-OFDM Systems

Capacity in MIMO Channels Based on Different Power Allocation

Cross-layer channel selection and reward-based power allocation for maximizing system capacity and reward in 4G MIMO wireless communications