In this paper, we investigate joint user pairing and resource allocation under the practical constraints in single-carrier frequency-division multiple access (SC-FDMA) LTE uplink systems. We first introduce a joint op...
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ISBN:
(纸本)9781424492688
In this paper, we investigate joint user pairing and resource allocation under the practical constraints in single-carrier frequency-division multiple access (SC-FDMA) LTE uplink systems. We first introduce a joint optimal algorithm based on branch-and-bound search as a benchmark. To reduce complexity, we divide the joint optimization problem into two subproblems: user pairing and resource block allocation. For these subproblems, we develop suboptimal but low-complexity algorithm. The simulation results show that the proposed algorithms outperform the conventional one.
Since the transmission of the uncompressed image in the context of wireless visual sensor networks (WVSNs) consumes less energy than transmitting the compressed image, developing energy-aware compression algorithms ar...
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ISBN:
(纸本)9781538632697
Since the transmission of the uncompressed image in the context of wireless visual sensor networks (WVSNs) consumes less energy than transmitting the compressed image, developing energy-aware compression algorithms are mandatory to extend the camera node's lifetime and thereby the whole network lifetime. The present paper studies a low-complexity image compression algorithm in the context of WVSNs. This algorithm consists of applying a pruning approach on a DCT approximation transform. The scheme is investigated in terms of computation cycles, processing time, energy consumption and image quality. Experimental works are conducted using the Atmel Atmega128 processor of Mica2 and MicaZ sensor boards. Simulation results show that the studied scheme can exhibit a competitive performance when compared against other algorithms. Furthermore, the scheme can achieve the best tradeoff between energy consumption and image quality.
In this paper, we propose the optimal resource allocation strategy for uplink ultra-reliable low-latency communication (URLLC) networks. Specifically, by employing the quality-of-service (QoS)-aware packet scheduling ...
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ISBN:
(纸本)9781538676462
In this paper, we propose the optimal resource allocation strategy for uplink ultra-reliable low-latency communication (URLLC) networks. Specifically, by employing the quality-of-service (QoS)-aware packet scheduling mechanism which is built upon the theory of maximum achievable rate under finite blocklength regime, the QoS requirement is described for uplink URLLC transmissions. Then, we formulate the non-convex optimization problem which aims at minimizing the total transmit power consumption of the URLLC network while meeting the QoS requirement as well as the channel assignment and transmit power constraints. By adopting the bipartite weighted graph theory, we design the ORA-KMM algorithm to obtain the optimal joint power and channel allocation strategy. Moreover, two low-complexity suboptimal algorithms, namely BCCG and SSG-LDF, are developed and the impact of spatial diversity on transmission reliability and total transmit power consumption are also analyzed. Simulation results show that our proposed optimal resource allocation strategy can achieve better performance as compared to the developed suboptimal schemes.
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