A low-complexity resource allocation scheme for single-user MIMO transmission

Author(s):  
Tarik Akbudak ◽  
Bo Zhao ◽  
Meryem Simsek ◽  
Andreas Czylwik
Author(s):  
Xin Wang ◽  
Zhihong Qian ◽  
Xue Wang ◽  
Lan Huang

The rate-requirement of device-to-device (D2D) users is associated with the context information of velocity and data size of users to some extent. In this study, an efficient context-aware resource allocation scheme based on rate requirement (RARR) is proposed. This scheme consists of two allocation phases. In the rate-ensuring resource allocation phase, D2D pairs are allocated a certain amount of spectrum resource according to their rate requirement. In the allocation, the interference restricted area is limited to exclude cellular users that bring a negative capacity gain to the communication system. In the residual resource reallocation phase, surplus resources are assigned to D2D pairs according to the system fairness. Simulation results indicate that the proposed RARR scheme efficiently leads to superior performance in terms of system throughput and fairness and exhibits low complexity relative to traditional resource allocation.


Author(s):  
Oluseye Adeleke ◽  
Wasana Boonsong

In this paper, we propose a new scheme for optimal resource (i.e, power) allocation in a cooperative wireless communication system, using a type of game called the Bidding game. Previous related works have all considered networks with multiple source nodes interacting with either single or multiple relays, without paying so much attention to how partners are selected for cooperation. However because of the importance of partner selection as an integral part of an efficient cooperative communication network, which also includes resource allocation, we propose this new game-based resource allocation scheme, in which the conventional theories of economic bidding are applied. In this work, we model the cooperative communication network as a single-user, multi-relay system in which the source acts as the auctioneer while the relays or partners act as the bidders in the game. The resource being auctioned here is power. The relay which offers the highest bid in terms of price is first selected by the source node and then allocated power by the source node. Our proposed scheme is aimed at answering the question of how maximally or optimally the power should be allocated in the network by the source node so as not to violate the power constraint. We show that there exists bidding and pricing mechanisms or strategies that lead to the maximization of network throughput or utility in cooperative communication networks. We also see in our simulation results that there is convergence to the Nash equilibrium which proves the correctness of our scheme.


Author(s):  
Ravikant Saini ◽  
Swades De

Mobile connectivity these days is no more a privilege but a basic necessity. This has led to exponentially-increasing data rate demands over the network, causing tremendous pressure to the access network service planners. Orthogonal frequency division multiple access (OFDMA) is being considered for resource allocation in higher generation communication networks, where spectrum efficiency improvement while fulfilling the users' data rate demands is a key aspect of interest. Normally resource allocation is considered from the viewpoint of users, with the users selecting their best available subcarriers. In this chapter, the resource allocation problem is approached from the subcarrier's perspective. Besides the conventional user-based scheme, a recent subcarrier-based shared resource allocation scheme is presented that selects the best user(s) for each subcarrier and assigns the subcarrier either to a single user or more than one user on time-shared basis according to their current SNRs. Unlike the user-based schemes, in the proposed scheme each user can contend for any subcarrier.


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