Delay Aware Optimal Resource Allocation in MU MIMO-OFDM using Enhanced Spider Monkey Optimization.

Voruganti Hindumathi; Katta Rama Linga Reddy

Author(s)

Voruganti Hindumathi BVRIT Hyderabad College of Engineering for Women, Hyderabad, Sindh Pakistan

Katta Rama Linga Reddy G. Narayanamma Institute of Technology & Sciences for women, Hyderabad, Sindh Pakistan

Abstract

In multiple users MIMO- OFDM system allocates the available resources to the optimal users is a difficult task. Hence the scheduling and resource allocation become the major problem in the wireless network mainly in case of multiple input and multiple output method that has to be made efficient. There is various method introduced to give an optimal solution to the problem yet it has many drawbacks. So, we propose this paper to provide an efficient solution for resource allocation in terms of delay and also added some more features such as high throughout, energy efficient and fairness. To make optimal resource allocation we introduce optimization algorithm named spider monkey with an enhancement which provides the efficient solution. In this optimization process includes the scheduling and resource allocation, the SNR values, channel state information (CSI) from the base station. To make more efficient finally we perform enhanced spider - monkey algorithm hence the resource allocation is performed based on QoS requirements. Thus, the simulation results in our paper show high efficiency when compared with other schedulers and techniques.

Publication Details

Page(s) 410-418

DOI DOI not available

Published Journal: International Journal of Communication Networks and Information Security, Volume: 10, Issue: 2, Year: 2018

Request the full text from PASTIC

References

K.Chandrasekaran,M. A.Bhagya,Eni, 2012.“Multi-Threshold based Scheduling for Multi-User Multiple-Input MultipleOutput Systems,” Journal of Computer Science 8 1171 -

J.Chen,A. L.Swindle,Hurst, 2012.Applying bargaining solutions to resource allocation in multiuser MIMO-OFDMA broadcast systems,” IEEE Journal of Selected Topics in Signal Processing 6 127 -139

D.Choi,D.Lee,J. H.Lee, 2011.Resource allocation for Comp with multiuser MIMO-OFDMA,IEEE Transactions on Vehicular Technology 60 4626 -4632

B.Clerk,H.Lee,Y. J.Hong, 2013.A practical cooperative multicell MIMO-OFDMA network based on rank coordination,” IEEE Transactions on Wireless Communications 12 1481 -1491

B.Da,C. C.Koi, 2009.Resource Allocation in Downlink MIMOOFDMA with Proportional Fairness,” JCM, 4 8 -13

R.Danaid,S.Prestegard,M.Earthshine,T., 2016.Power-efficient resource allocation in NOMA virtualized wireless networks”,In Global Communications Conference (GLOBECOM) 1 -6

A. M.El-Hajj,Z.Dewy, 2013.On delay-aware joint uplink/downlink resource allocation in OFDMA networks,”,2013 IEEE Symposium 000257 -000262

G.Feminism,F.Rivera-Palou, 2016.“Scheduling and resource allocation in downlink multiuser MIMO-OFDMA systems,” IEEE Transactions on Communications 64 2019 -2034

I. G.Fra iMIS,S. A.Kotsiopoulos, 2012.A low-complexity resource allocation algorithm for MIMO-OFDMA multicast systems with spectrum-guarantee provisioning,International Journal of Digital Multimedia Broadcasting -

J. Haji pour , A. Mohamed,queue-, 2016.and delay-aware resource allocation in buffer-aided relayenhanced OFDMA networks,” IEEE Transactions on Vehicular Technology 65 2397 -2412

J.Leinonen,J.Harmaline, 2013.Capacity analysis of downlink MIMO-OFDMA resource allocation with limited feedback,” IEEE Transactions on Communications 61 120 -130

F. R. M.Lima,T. F.Macie,W. C.Freitas,F. R.Cavalcanti, 2014.Improved spectral efficiency with acceptable service provision in multiuser MIMO scenarios,” IEEE Transactions on Vehicular Technology 63 2697 -2711

J. M. Lin , H. Y.,Yu , Y. J.,Wu , H. P.,Ma, 2010.A power efficient baseband engine for multiuser mobile MIMO-OFDMA communications,” IEEE Transactions on Circuits and Systems I: Regular Papers 57 1779 -1792

T. F.Macie,A, 2010.On the performance, complexity, and fairness of suboptimal resource allocation for multiuser MIMO-OFDMA systems,” IEEE Transactions on Vehicular Technology 59 406 -419

D. W. K.Ng,E. S.Lo, .Dynamic resource allocation in MIMO-OFDMA systems with full-duplex and hybrid relaying,” IEEE Transactions on Communications 60 1291 -1304

T. T.Nguyen,H. H.Nguyen,T., 2013.Successive interference cancellation in multiuser relaying with fast frequency-hopping modulation,”,In Global Communications Conference (GLOBECOM) 2032 -2038

T. T.Nguyen,H. H.Nguyen,T., 2014.Iterative interference cancellation in multiuser relaying with fast frequency-hopping modulation,” IET Communications 15 2693 -2705

Pacella , M.,Before , J. C., 2010.Distributed margin adaptive resource allocation in MIMO OFDMA networks,IEEE Transactions on Communications 58 2371 -2380

C. M. Yen , C. J.,Chang , L. C.,Wang, 2010.A utility-based TMCR scheduling scheme for downlink multiuser MIMO-OFDMA systems,” IEEE Transactions on Vehicular Technology 59 4105 -4115

J.Yu,Y.Qi,G.Wang,X.Gu, 2012.A cluster-based routing protocol for wireless sensor networks with non-uniform node distribution,” AEU-,International Journal of Electronics and Communications 66 54 -61

D. M. Omar , A. M.,Khadr , D. P.,Agrawal, 2017.Optimized Clustering Protocol for Balancing Energy in Wireless Sensor Networks,International Journal of Communication Networks and Information Security 9 367 -375

A.Amir Uddin,A. A. P.Ratnam,R. F.Sari, 2017.New Key Generation and Encryption Algorithms for Privacy Preservation in Mobile Ad Hoc Networks,International Journal of Communication Networks and Information Security (IJCNIS) 3 -

H. J. A.Nasir,K. R.Ku-Mahmud, 2017.Enhanced Ant-Based Routing for Improving Performance of Wireless Sensor Network,International Journal of Communication Networks and Information Security (IJCNIS) 3 -

M.Ate,A, 2017.Energy-Efficient Resource Allocation for Adaptive Modulated MIMO-OFDM Heterogeneous Cloud Radio Access Networks,” Wireless Personal Communications, 95 4847 -4866