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In the Cellular Long-Term Evolution (LTE) downlink, the smallest radio resource unit a Scheduler can assign to a user is a Resource Block (RB). Each RB consists of twelve (12) adjacent Orthogonal Frequency Division Multiplexing (OFDM) sub-carriers with inter-subcarrier spacing of 15 kHz. Over the years, researchers have investigated the problem of radio resource allocation in cellular LTE downlink and have made useful contributions. In an earlier paper for example, we proposed a deterministic dynamic programming based technique for optimal allocation of RBs in the downlink of multiuser Cellular LTE System. We found that this proposed methodology optimally allocates RBs to users at every transmission instant, but the computational time associated with the allocation policy was high. In the current work, we propose a truncated dynamic programming based technique for efficient and optimal allocation of radio resource. This paper also addresses uncertainty emanating from users’ mobility within a Cell coverage area. The objective is to significantly reduce the computational time and dynamically select applicable modulation scheme (i.e., QPSK, 16QAM, or 64QAM) in response to users’ mobility. We compare the proposed scheme with the Fair allocation and the earlier proposed dynamic programming based techniques. It is shown that the proposed methodology is more efficient in allocating radio resource and has better performance than both the Fair Allocation and the deterministic dynamic programming based techniques.
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篇名 Optimal Allocation of Radio Resource in Cellular LTE Downlink Based on Truncated Dynamic Programming under Uncertainty
来源期刊 通讯、网络与系统学国际期刊(英文) 学科 医学
关键词 Optimal ALLOCATION RESOURCE Block TRUNCATED Dynamic PROGRAMMING UNCERTAINTY
年,卷(期) 2012,(2) 所属期刊栏目
研究方向 页码范围 111-120
页数 10页 分类号 R73
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Optimal
ALLOCATION
RESOURCE
Block
TRUNCATED
Dynamic
PROGRAMMING
UNCERTAINTY
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通讯、网络与系统学国际期刊(英文)
月刊
1913-3715
武汉市江夏区汤逊湖北路38号光谷总部空间
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763
总下载数(次)
1
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0
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