Probabilistic Radio Resource Allocation Over CDMA-Based Cognitive Radio Networks

Mahyari, Mohammad Mirtavoosi; Shojaeifard, Arman; Shikh-Bahaei, Mohammad

doi:10.1109/tvt.2014.2360814

Cited by 11 publications

(13 citation statements)

References 19 publications

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“…Practical PNC design with cross layer optimisation in [16]- [19] provide another research direction, and the research in [20] focuses on spectrum efficiency solutions and can be extended to PNC-implemented systems. Moreover, the PNC application with optimal resource allocation [21] and [22] is critical in order to serve the 5G systems and achieve massive data transmissions with high accuracy and low latency.…”

Section: Future Work and Conclusionmentioning

confidence: 99%

An Adaptive Optimal Mapping Selection Algorithm for PNC Using Variable QAM Modulation

Peng

Wang

Burr

et al. 2019

IEEE Wireless Commun. Lett.

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Fifth generation (5G) wireless networks will need to serve much higher user densities than existing 4G networks, and will therefore require an enhanced radio access network (RAN) infrastructure. Physical layer network coding (PNC) has been shown to enable such high densities with much lower backhaul load than approaches such as Cloud-RAN and coordinated multipoint (CoMP). In this letter, we present an engineering applicable PNC scheme which allows different cooperating users to use different modulation schemes, according to the relative strength of their channels to a given access point. This is in contrast with compute-and-forward and previous PNC schemes which are designed for two-way relay channel. A two-stage search algorithm to identify the optimum PNC mappings for given channel state information and modulation is proposed in this letter. Numerical results show that the proposed scheme achieves low bit error rate with reduced backhaul load.Index Terms-adaptive PNC, industrial applicable, backhaul load, unambiguous detection.

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Section: Future Work and Conclusionmentioning

confidence: 99%

An Adaptive Optimal Mapping Selection Algorithm for PNC Using Variable QAM Modulation

Peng

Wang

Burr

et al. 2019

IEEE Wireless Commun. Lett.

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“…There are two difficulties to solve Problem (9). The first one is to obtain the expressions of parameters a m and b m , which are determined by the randomness of the number and locations of users as well as channel gains.…”

Section: A Problem Formulationmentioning

confidence: 99%

“…In this section, we jointly optimize bandwidth allocation and cache placement to solve Problem (9). The optimal bandwidth allocation can be obtained in closed from by checking the 6 KKT conditions.…”

Section: Joint Bandwidth and Cache Optimizationmentioning

confidence: 99%

Cache Placement in Two-Tier HetNets With Limited Storage Capacity: Cache or Buffer?

Yang

Pan

et al. 2018

IEEE Trans. Commun.

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In this paper, we aim to minimize the average file transmission delay via bandwidth allocation and cache placement in two-tier heterogeneous networks with limited storage capacity, which consists of cache capacity and buffer capacity. For average delay minimization problem with fixed bandwidth allocation, although this problem is nonconvex, the optimal solution is obtained in closed form by comparing all locally optimal solutions calculated from solving the Karush-Kuhn-Tucker conditions. To jointly optimize bandwidth allocation and cache placement, the optimal bandwidth allocation is first derived and then substituted into the original problem. The structure of the optimal caching strategy is presented, which shows that it is optimal to cache the files with high popularity instead of the files with big size. Based on this optimal structure, we propose an iterative algorithm with low complexity to obtain a suboptimal solution, where the closedfrom expression is obtained in each step. Numerical results show the superiority of our solution compared to the conventional cache strategy without considering cache and buffer tradeoff in terms of delay.Index Terms-Caching policy, heterogeneous networks, cache and buffer, bandwidth allocation.

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“…We can transform a POMDP into a belief state MDP and the value function can be obtained using the following backup operator, for all A ∈ A do 4:…”

Section: Remark 2 Piecewise-linear and Convex Value Functionmentioning

confidence: 99%

Energy Efficient Delay Sensitive Optimization in SWIPT-MIMO

Saki

Peng

Bahae

2018

2018 IEEE Global Communications Conference (GLOBECOM)

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In this paper, we consider joint antenna selection and optimal beamforming for energy efficient delay minimization. We assume multiple-input multi-output (MIMO) system with full duplex simultaneous wireless information and power transfer (FD-SWIPT) where each sensor is equipped with a power splitting (PS) system and can simultaneously receive both energy and information from the aggregator (AGG). We show that the antenna selection and beamforming power control policies are adaptive to the energy state information (ESI), the queue state information (QSI) and the channel state information (CSI). We develop an analytical framework for energy efficient delayoptimal control problem based on the theory of infinite horizon partially observable Markov decision process (POMDP). The infinite-horizon POMDP problem is transformed into an equivalent value Bellman program and solved by near-optimal pointbased Heuristic Search Value Iteration (PB-HSVI) method under specific standard conditions. The proposed solution outcome is a set of sub-optimal antenna selection and beamforming control policies. Simulation results reveal an effective trade-off between the contradictory objectives (i.e. delay and power consumption) and show the enhancement in delay by using FD-SWIPT systems in comparison to Half Duplex (HD)-SWIPT systems.

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Probabilistic Radio Resource Allocation Over CDMA-Based Cognitive Radio Networks

Cited by 11 publications

References 19 publications

An Adaptive Optimal Mapping Selection Algorithm for PNC Using Variable QAM Modulation

An Adaptive Optimal Mapping Selection Algorithm for PNC Using Variable QAM Modulation

Cache Placement in Two-Tier HetNets With Limited Storage Capacity: Cache or Buffer?

Energy Efficient Delay Sensitive Optimization in SWIPT-MIMO

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