Adaptive Resource Allocation in OFDMA with Insufficient Guard Interval under Fractional Load

doi:10.13190/jbupt.200906.37.liushh

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2009, Vol. 32 ›› Issue (6): 37-41.doi: 10.13190/jbupt.200906.37.liushh

• Papers • Previous Articles Next Articles

Adaptive Resource Allocation in OFDMA with Insufficient Guard Interval under Fractional Load

LIU Shu-hui;CHANG Yong-yu;CUI Jie;YANG Da-cheng

(School of Information and Communication Engineering, Beijing University of
Posts and Telecommunications, Beijing 100876, China)

Received:2009-04-08 Revised:2009-09-11 Online:2009-12-28 Published:2009-12-28
Contact: LIU Shu-hui

Abstract

Abstract:

Under fraction load （FL） and insufficient guard interval (GI), a novel adaptive resource allocation (ARA) scheme is proposed in the orthogonal frequency division multiple access (OFDMA) system. It utilizes the flexibility of radio resource management to mitigate the inter-symbol interference and inter-carrier interference due to the insufficient GI under FL instead of the complicated interference reduction algorithms at the receiver. System-level simulations show that, the proposed ARA improves system performance than the conventional resource allocation (CRA) under FL, whereas the performance of proposed ARA approaches the CRA under the full load due to the limitation of resource allocation flexibility.

Key words: orthogonal frequency division multiple access, fractional load, guard interval, resource allocation

LIU Shu-hui;CHANG Yong-yu;CUI Jie;YANG Da-cheng. Adaptive Resource Allocation in OFDMA with Insufficient Guard Interval under Fractional Load[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2009, 32(6): 37-41.

References

[1] 3GPP TS 36.104—2008, Base station (BS) radio transmission and reception [S]. 2008.
[2] Lu Sili, Kalbasi R, Al-Dhahir N. OFDM interference mitigation algorithms for doubly-selective channels//VTC-2006 Fall. Montréal: IEEE Press, 2006: 1-5.
[3] Chen Shaoping, Yao Tianren. FEQ for OFDM systems with insufficient CP//PIMRC 2003. Beijing: IEEE Press, 2003: 500-503.
[4] 3GPP TSG-RAN1, R1-060368—2006. Performance of inter-cell interference mitigation with semi-static frequency planning for EUTRA downlink[S]. 2006.
[5] Seok Ho Won, Hyeong Jun Park, Neel J O. Inter-cell interference coordination avoidance for frequency reuse by resource scheduling in an OFDM-based cellular system//VTC-2007 Fall. Baltimore: IEEE Press, 2007: 1722-1725.
[6] Jeong S S, Jeong D G, Jeon W S. Cross-layer design of packet scheduling and resource allocation in OFDMA wireless multimedia network//IEEE Proceedings of VTC2006-Spring, session 1C: scheduling and resource allocation. Melbourne: IEEE Press, 2006: 309-313.
[7] Huang Weilan, Letaief K B. A cross-layer resource allocation and scheduling for multiuser space-time block coded MIMO/OFDM systems//ICC 2005. Hong Kong: IEEE Press, 2005: 2655-2659.
[8] Van Duc Nguyen, Kuchenbecker H P. Intercarrier and intersymbol interference analysis of OFDM systems on time-varying channels//SPAWC 2003. Rome: IEEE Press, 2003: 140-144.
[9] Van Duc Nguyen, Kuchenbecker H P. Intercarrier and intersymbol interference analysis of OFDM systems on time-invariant channels//Personal, Indoor and Mobile Radio Communications 2002. Lisbon: IEEE Press, 2002: 1482-1487.
[10] Heda S, Ray B, Chakrabarti S. Analysis of effects of imperfect channel estimates and GI length in an OFDM system//ICPWC 2005. New Delhi: IEEE Press, 2005: 150-154.
[11] Sato I, Fujii T. The equivalent path model for evaluating multi-carrier CDMA transmission characteristics under multi-path fading environment exceeding guard interval//VTC 2004-Spring. Milian: IEEE Press, 2004: 1518-1522.
[12] Jalali A, Padovani R, Pankaj R. Data throughput of CDMA HDR high efficiency-high data rate personal communication wireless system//VTC 2000. Tokyo: IEEE Press, 2000: 1854-1858.
[13] 3GPP TR 25.895—2008, Analysis of higher chip rates for UTRA TDD evolution[S]. 2004.
[14] 3GPP TR 25.996—2008, Spatial channel model for multiple input multiple output (MIMO) simulations[S]. 2008.

[1]	. Research on Resource Allocation and Task Offloading Joint Optimization for Mobile Edge Computing in Ultra-Dense Networks [J]. Journal of Beijing University of Posts and Telecommunications, 2023, 46(2): 50-56.
[2]	. An Ensemble Learning-Aided DDPG Resource Optimization Algorithm [J]. Journal of Beijing University of Posts and Telecommunications, 2023, 46(2): 29-36.
[3]	. Cooperative Offloading and Resource Allocation Algorithm of Multi-edge Nodes in VEC [J]. Journal of Beijing University of Posts and Telecommunications, 2023, 46(2): 78-83.
[4]	. Resource Allocation Based on Alternating Direction Multiplier Method and Deep Reinforcement Learning Algorithm [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(6): 126-130.
[5]	YU Xiaosong, ZHU Qingcheng, GU Jiaming, ZHAO Yongli, ZHANG Jie. Architecture and Resource Allocation of Cloud-Edge Collaboration Based Optical-Quantum Internet of Things [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(3): 50-56.
[6]	DU Mei, ZHOU Junhua, LI Dunqiao, CHEN Shizhao, WEI Yifei. A Joint Intelligent Optimization Scheme of Computation Offloading and Resource Allocation for MEC [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(2): 65-71.
[7]	JIA Yuning, WEI Yifei, ZHOU Junhua. Service Function Chain Orchestrating Algorithm Based on SDN and NFV [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(2): 85-90.
[8]	GAO Xiao-na, LU Guang-yue, YE Ying-hui, ZAN Jin-mei. Throughput Fairness Guarantee in Cognitive Backscattering Networks [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(6): 26-32.
[9]	HUANG Xiao-ge, WANG Yong-sheng, LAI Chen-bin, CHEN Qian-bin. Trust Degree Based RSU Recognition and Resource Allocation in Vehicular Networks [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(2): 109-115.
[10]	TIAN Hui, NI Wan-li, WANG Wen, ZHENG Jing-heng, HE Shuo. Data-Importance-Aware Resource Allocation in IRS-Aided Edge Intelligent System [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(6): 51-58.
[11]	XUE Jian-bin, DING Xue-qian, LIU Xing-xing. Offloading Decision and Resource Optimization for Cache-Assisted Edge Computing [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(3): 32-37.
[12]	GUO Shao-xiong, LIU Yu-tao, Lü Yu-jing, ZHANG Zhong-zhao. Resource Allocation Algorithm for Simultaneous Wireless Information and Power Transfer in Multi-Carrier Cognitive Radio [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(3): 19-23.
[13]	LI Qiang, LU Chang-long, CAO Bin, ZHANG Qin-yu. High Spectrum Efficiency Wireless Resource Management Based on Network Slicing [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(4): 50-56.
[14]	TIAN Xin-ji, ZHANG Hao-tian, LI Xiao-jing, ZHANG Chang-sen. JR-CoMP-Based Clustering and Resource Allocation Scheme in UDN [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(3): 72-78.
[15]	XU Yan-ping, JIA Wen-jie, LI Xiao-jing, ZHANG Chang-sen, TIAN Xin-ji. An Improved Clustering and Resource Allocation Scheme for Ultra-Dense Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(2): 77-82.

Adaptive Resource Allocation in OFDMA with Insufficient Guard Interval under Fractional Load

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments